Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis
IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowled...
Ausführliche Beschreibung
Autor*in: |
Ying Dong [verfasserIn] Jianling Yao [verfasserIn] Qingyue Deng [verfasserIn] Xianxian Li [verfasserIn] Yingyu He [verfasserIn] Xueyang Ren [verfasserIn] Yuan Zheng [verfasserIn] Ruolan Song [verfasserIn] Xiangjian Zhong [verfasserIn] Jiamu Ma [verfasserIn] Dongjie Shan [verfasserIn] Fang Lv [verfasserIn] Xiuhuan Wang [verfasserIn] Ruijuan Yuan [verfasserIn] Gaimei She [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2023 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Frontiers in Immunology - Frontiers Media S.A., 2011, 14(2023) |
---|---|
Übergeordnetes Werk: |
volume:14 ; year:2023 |
Links: |
---|
DOI / URN: |
10.3389/fimmu.2023.1131933 |
---|
Katalog-ID: |
DOAJ088383733 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ088383733 | ||
003 | DE-627 | ||
005 | 20230410112336.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230410s2023 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.3389/fimmu.2023.1131933 |2 doi | |
035 | |a (DE-627)DOAJ088383733 | ||
035 | |a (DE-599)DOAJ6f696106bb654d49af416d4165cb5253 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a RC581-607 | |
100 | 0 | |a Ying Dong |e verfasserin |4 aut | |
245 | 1 | 0 | |a Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. | ||
650 | 4 | |a bibliometrics | |
650 | 4 | |a rheumatoid arthritis | |
650 | 4 | |a gut microbiota | |
650 | 4 | |a Bibliometrix | |
650 | 4 | |a VOSviewer | |
653 | 0 | |a Immunologic diseases. Allergy | |
700 | 0 | |a Jianling Yao |e verfasserin |4 aut | |
700 | 0 | |a Qingyue Deng |e verfasserin |4 aut | |
700 | 0 | |a Xianxian Li |e verfasserin |4 aut | |
700 | 0 | |a Yingyu He |e verfasserin |4 aut | |
700 | 0 | |a Xueyang Ren |e verfasserin |4 aut | |
700 | 0 | |a Yuan Zheng |e verfasserin |4 aut | |
700 | 0 | |a Ruolan Song |e verfasserin |4 aut | |
700 | 0 | |a Xiangjian Zhong |e verfasserin |4 aut | |
700 | 0 | |a Jiamu Ma |e verfasserin |4 aut | |
700 | 0 | |a Dongjie Shan |e verfasserin |4 aut | |
700 | 0 | |a Fang Lv |e verfasserin |4 aut | |
700 | 0 | |a Xiuhuan Wang |e verfasserin |4 aut | |
700 | 0 | |a Xiuhuan Wang |e verfasserin |4 aut | |
700 | 0 | |a Ruijuan Yuan |e verfasserin |4 aut | |
700 | 0 | |a Gaimei She |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Frontiers in Immunology |d Frontiers Media S.A., 2011 |g 14(2023) |w (DE-627)657998354 |w (DE-600)2606827-8 |x 16643224 |7 nnns |
773 | 1 | 8 | |g volume:14 |g year:2023 |
856 | 4 | 0 | |u https://doi.org/10.3389/fimmu.2023.1131933 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/6f696106bb654d49af416d4165cb5253 |z kostenfrei |
856 | 4 | 0 | |u https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1664-3224 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_206 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2003 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 14 |j 2023 |
author_variant |
y d yd j y jy q d qd x l xl y h yh x r xr y z yz r s rs x z xz j m jm d s ds f l fl x w xw x w xw r y ry g s gs |
---|---|
matchkey_str |
article:16643224:2023----::eainhpewegtirboanremtiatrts |
hierarchy_sort_str |
2023 |
callnumber-subject-code |
RC |
publishDate |
2023 |
allfields |
10.3389/fimmu.2023.1131933 doi (DE-627)DOAJ088383733 (DE-599)DOAJ6f696106bb654d49af416d4165cb5253 DE-627 ger DE-627 rakwb eng RC581-607 Ying Dong verfasserin aut Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. bibliometrics rheumatoid arthritis gut microbiota Bibliometrix VOSviewer Immunologic diseases. Allergy Jianling Yao verfasserin aut Qingyue Deng verfasserin aut Xianxian Li verfasserin aut Yingyu He verfasserin aut Xueyang Ren verfasserin aut Yuan Zheng verfasserin aut Ruolan Song verfasserin aut Xiangjian Zhong verfasserin aut Jiamu Ma verfasserin aut Dongjie Shan verfasserin aut Fang Lv verfasserin aut Xiuhuan Wang verfasserin aut Xiuhuan Wang verfasserin aut Ruijuan Yuan verfasserin aut Gaimei She verfasserin aut In Frontiers in Immunology Frontiers Media S.A., 2011 14(2023) (DE-627)657998354 (DE-600)2606827-8 16643224 nnns volume:14 year:2023 https://doi.org/10.3389/fimmu.2023.1131933 kostenfrei https://doaj.org/article/6f696106bb654d49af416d4165cb5253 kostenfrei https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full kostenfrei https://doaj.org/toc/1664-3224 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 |
spelling |
10.3389/fimmu.2023.1131933 doi (DE-627)DOAJ088383733 (DE-599)DOAJ6f696106bb654d49af416d4165cb5253 DE-627 ger DE-627 rakwb eng RC581-607 Ying Dong verfasserin aut Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. bibliometrics rheumatoid arthritis gut microbiota Bibliometrix VOSviewer Immunologic diseases. Allergy Jianling Yao verfasserin aut Qingyue Deng verfasserin aut Xianxian Li verfasserin aut Yingyu He verfasserin aut Xueyang Ren verfasserin aut Yuan Zheng verfasserin aut Ruolan Song verfasserin aut Xiangjian Zhong verfasserin aut Jiamu Ma verfasserin aut Dongjie Shan verfasserin aut Fang Lv verfasserin aut Xiuhuan Wang verfasserin aut Xiuhuan Wang verfasserin aut Ruijuan Yuan verfasserin aut Gaimei She verfasserin aut In Frontiers in Immunology Frontiers Media S.A., 2011 14(2023) (DE-627)657998354 (DE-600)2606827-8 16643224 nnns volume:14 year:2023 https://doi.org/10.3389/fimmu.2023.1131933 kostenfrei https://doaj.org/article/6f696106bb654d49af416d4165cb5253 kostenfrei https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full kostenfrei https://doaj.org/toc/1664-3224 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 |
allfields_unstemmed |
10.3389/fimmu.2023.1131933 doi (DE-627)DOAJ088383733 (DE-599)DOAJ6f696106bb654d49af416d4165cb5253 DE-627 ger DE-627 rakwb eng RC581-607 Ying Dong verfasserin aut Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. bibliometrics rheumatoid arthritis gut microbiota Bibliometrix VOSviewer Immunologic diseases. Allergy Jianling Yao verfasserin aut Qingyue Deng verfasserin aut Xianxian Li verfasserin aut Yingyu He verfasserin aut Xueyang Ren verfasserin aut Yuan Zheng verfasserin aut Ruolan Song verfasserin aut Xiangjian Zhong verfasserin aut Jiamu Ma verfasserin aut Dongjie Shan verfasserin aut Fang Lv verfasserin aut Xiuhuan Wang verfasserin aut Xiuhuan Wang verfasserin aut Ruijuan Yuan verfasserin aut Gaimei She verfasserin aut In Frontiers in Immunology Frontiers Media S.A., 2011 14(2023) (DE-627)657998354 (DE-600)2606827-8 16643224 nnns volume:14 year:2023 https://doi.org/10.3389/fimmu.2023.1131933 kostenfrei https://doaj.org/article/6f696106bb654d49af416d4165cb5253 kostenfrei https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full kostenfrei https://doaj.org/toc/1664-3224 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 |
allfieldsGer |
10.3389/fimmu.2023.1131933 doi (DE-627)DOAJ088383733 (DE-599)DOAJ6f696106bb654d49af416d4165cb5253 DE-627 ger DE-627 rakwb eng RC581-607 Ying Dong verfasserin aut Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. bibliometrics rheumatoid arthritis gut microbiota Bibliometrix VOSviewer Immunologic diseases. Allergy Jianling Yao verfasserin aut Qingyue Deng verfasserin aut Xianxian Li verfasserin aut Yingyu He verfasserin aut Xueyang Ren verfasserin aut Yuan Zheng verfasserin aut Ruolan Song verfasserin aut Xiangjian Zhong verfasserin aut Jiamu Ma verfasserin aut Dongjie Shan verfasserin aut Fang Lv verfasserin aut Xiuhuan Wang verfasserin aut Xiuhuan Wang verfasserin aut Ruijuan Yuan verfasserin aut Gaimei She verfasserin aut In Frontiers in Immunology Frontiers Media S.A., 2011 14(2023) (DE-627)657998354 (DE-600)2606827-8 16643224 nnns volume:14 year:2023 https://doi.org/10.3389/fimmu.2023.1131933 kostenfrei https://doaj.org/article/6f696106bb654d49af416d4165cb5253 kostenfrei https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full kostenfrei https://doaj.org/toc/1664-3224 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 |
allfieldsSound |
10.3389/fimmu.2023.1131933 doi (DE-627)DOAJ088383733 (DE-599)DOAJ6f696106bb654d49af416d4165cb5253 DE-627 ger DE-627 rakwb eng RC581-607 Ying Dong verfasserin aut Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. bibliometrics rheumatoid arthritis gut microbiota Bibliometrix VOSviewer Immunologic diseases. Allergy Jianling Yao verfasserin aut Qingyue Deng verfasserin aut Xianxian Li verfasserin aut Yingyu He verfasserin aut Xueyang Ren verfasserin aut Yuan Zheng verfasserin aut Ruolan Song verfasserin aut Xiangjian Zhong verfasserin aut Jiamu Ma verfasserin aut Dongjie Shan verfasserin aut Fang Lv verfasserin aut Xiuhuan Wang verfasserin aut Xiuhuan Wang verfasserin aut Ruijuan Yuan verfasserin aut Gaimei She verfasserin aut In Frontiers in Immunology Frontiers Media S.A., 2011 14(2023) (DE-627)657998354 (DE-600)2606827-8 16643224 nnns volume:14 year:2023 https://doi.org/10.3389/fimmu.2023.1131933 kostenfrei https://doaj.org/article/6f696106bb654d49af416d4165cb5253 kostenfrei https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full kostenfrei https://doaj.org/toc/1664-3224 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2023 |
language |
English |
source |
In Frontiers in Immunology 14(2023) volume:14 year:2023 |
sourceStr |
In Frontiers in Immunology 14(2023) volume:14 year:2023 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
bibliometrics rheumatoid arthritis gut microbiota Bibliometrix VOSviewer Immunologic diseases. Allergy |
isfreeaccess_bool |
true |
container_title |
Frontiers in Immunology |
authorswithroles_txt_mv |
Ying Dong @@aut@@ Jianling Yao @@aut@@ Qingyue Deng @@aut@@ Xianxian Li @@aut@@ Yingyu He @@aut@@ Xueyang Ren @@aut@@ Yuan Zheng @@aut@@ Ruolan Song @@aut@@ Xiangjian Zhong @@aut@@ Jiamu Ma @@aut@@ Dongjie Shan @@aut@@ Fang Lv @@aut@@ Xiuhuan Wang @@aut@@ Ruijuan Yuan @@aut@@ Gaimei She @@aut@@ |
publishDateDaySort_date |
2023-01-01T00:00:00Z |
hierarchy_top_id |
657998354 |
id |
DOAJ088383733 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ088383733</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230410112336.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230410s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fimmu.2023.1131933</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ088383733</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ6f696106bb654d49af416d4165cb5253</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC581-607</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Ying Dong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bibliometrics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rheumatoid arthritis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">gut microbiota</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bibliometrix</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">VOSviewer</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Immunologic diseases. Allergy</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jianling Yao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Qingyue Deng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xianxian Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yingyu He</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xueyang Ren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yuan Zheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ruolan Song</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiangjian Zhong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jiamu Ma</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Dongjie Shan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Fang Lv</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiuhuan Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiuhuan Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ruijuan Yuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Gaimei She</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Frontiers in Immunology</subfield><subfield code="d">Frontiers Media S.A., 2011</subfield><subfield code="g">14(2023)</subfield><subfield code="w">(DE-627)657998354</subfield><subfield code="w">(DE-600)2606827-8</subfield><subfield code="x">16643224</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:14</subfield><subfield code="g">year:2023</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3389/fimmu.2023.1131933</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/6f696106bb654d49af416d4165cb5253</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1664-3224</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">14</subfield><subfield code="j">2023</subfield></datafield></record></collection>
|
callnumber-first |
R - Medicine |
author |
Ying Dong |
spellingShingle |
Ying Dong misc RC581-607 misc bibliometrics misc rheumatoid arthritis misc gut microbiota misc Bibliometrix misc VOSviewer misc Immunologic diseases. Allergy Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis |
authorStr |
Ying Dong |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)657998354 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
RC581-607 |
illustrated |
Not Illustrated |
issn |
16643224 |
topic_title |
RC581-607 Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis bibliometrics rheumatoid arthritis gut microbiota Bibliometrix VOSviewer |
topic |
misc RC581-607 misc bibliometrics misc rheumatoid arthritis misc gut microbiota misc Bibliometrix misc VOSviewer misc Immunologic diseases. Allergy |
topic_unstemmed |
misc RC581-607 misc bibliometrics misc rheumatoid arthritis misc gut microbiota misc Bibliometrix misc VOSviewer misc Immunologic diseases. Allergy |
topic_browse |
misc RC581-607 misc bibliometrics misc rheumatoid arthritis misc gut microbiota misc Bibliometrix misc VOSviewer misc Immunologic diseases. Allergy |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Frontiers in Immunology |
hierarchy_parent_id |
657998354 |
hierarchy_top_title |
Frontiers in Immunology |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)657998354 (DE-600)2606827-8 |
title |
Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis |
ctrlnum |
(DE-627)DOAJ088383733 (DE-599)DOAJ6f696106bb654d49af416d4165cb5253 |
title_full |
Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis |
author_sort |
Ying Dong |
journal |
Frontiers in Immunology |
journalStr |
Frontiers in Immunology |
callnumber-first-code |
R |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2023 |
contenttype_str_mv |
txt |
author_browse |
Ying Dong Jianling Yao Qingyue Deng Xianxian Li Yingyu He Xueyang Ren Yuan Zheng Ruolan Song Xiangjian Zhong Jiamu Ma Dongjie Shan Fang Lv Xiuhuan Wang Ruijuan Yuan Gaimei She |
container_volume |
14 |
class |
RC581-607 |
format_se |
Elektronische Aufsätze |
author-letter |
Ying Dong |
doi_str_mv |
10.3389/fimmu.2023.1131933 |
author2-role |
verfasserin |
title_sort |
relationship between gut microbiota and rheumatoid arthritis: a bibliometric analysis |
callnumber |
RC581-607 |
title_auth |
Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis |
abstract |
IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. |
abstractGer |
IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. |
abstract_unstemmed |
IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
title_short |
Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis |
url |
https://doi.org/10.3389/fimmu.2023.1131933 https://doaj.org/article/6f696106bb654d49af416d4165cb5253 https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full https://doaj.org/toc/1664-3224 |
remote_bool |
true |
author2 |
Jianling Yao Qingyue Deng Xianxian Li Yingyu He Xueyang Ren Yuan Zheng Ruolan Song Xiangjian Zhong Jiamu Ma Dongjie Shan Fang Lv Xiuhuan Wang Ruijuan Yuan Gaimei She |
author2Str |
Jianling Yao Qingyue Deng Xianxian Li Yingyu He Xueyang Ren Yuan Zheng Ruolan Song Xiangjian Zhong Jiamu Ma Dongjie Shan Fang Lv Xiuhuan Wang Ruijuan Yuan Gaimei She |
ppnlink |
657998354 |
callnumber-subject |
RC - Internal Medicine |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.3389/fimmu.2023.1131933 |
callnumber-a |
RC581-607 |
up_date |
2024-07-03T17:23:58.848Z |
_version_ |
1803579491717480448 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ088383733</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230410112336.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230410s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.3389/fimmu.2023.1131933</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ088383733</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ6f696106bb654d49af416d4165cb5253</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC581-607</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Ying Dong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Relationship between gut microbiota and rheumatoid arthritis: A bibliometric analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">IntroductionRheumatoid arthritis (RA) is a multifactorial autoimmune disease. Recently, growing evidence demonstrates that gut microbiota (GM) plays an important role in RA. But so far, no bibliometric studies pertaining to GM in RA have ever been published. This study attempts to depict the knowledge framework in this field from a holistic and systematic perspective based on the bibliometric analysis.MethodsLiterature related to the involvement of GM in RA was searched and picked from the Web of Science Core Collection (WOSCC) database. The annual output, cooperation, hotspots, research status and development trend of this field were analyzed by bibliometric software (VOSviewer and Bibliometricx).Results255 original research articles and 204 reviews were included in the analysis. The articles in this field that can be retrieved in WOSCC were first published in 2004 and increased year by year since then. 2013 is a growth explosion point. China and the United States are the countries with the most contributions, and Harvard University is the affiliation with the most output. Frontiers in Immunology (total citations = 603) is the journal with the most publications and the fastest growth rate. eLife is the journal with the most citations (total citations = 1248). Scher, Jose U. and Taneja, Veena are the most productive and cited authors. The research in this field is mainly distributed in the evidence, mechanism and practical application of GM participating in RA through the analysis of keywords and documents. There is sufficient evidence to prove the close relationship between GM and RA, which lays the foundation for this field. This extended two colorful and tender branches of mechanism research and application exploration, which have made some achievements but still have broad exploration space. Recently, the keywords ”metabolites“, ”metabolomics“, ”acid“, ”b cells“, ”balance“, ”treg cells“, ”probiotic supplementation“ appeared most frequently, which tells us that research on the mechanism of GM participating in RA and exploration of its application are the hotspots in recent years.DiscussionTaken together, these results provide a data-based and objective introduction to the GM participating in RA, giving readers a valuable reference to help guide future research.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">bibliometrics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rheumatoid arthritis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">gut microbiota</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bibliometrix</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">VOSviewer</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Immunologic diseases. Allergy</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jianling Yao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Qingyue Deng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xianxian Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yingyu He</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xueyang Ren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yuan Zheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ruolan Song</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiangjian Zhong</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Jiamu Ma</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Dongjie Shan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Fang Lv</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiuhuan Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xiuhuan Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ruijuan Yuan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Gaimei She</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Frontiers in Immunology</subfield><subfield code="d">Frontiers Media S.A., 2011</subfield><subfield code="g">14(2023)</subfield><subfield code="w">(DE-627)657998354</subfield><subfield code="w">(DE-600)2606827-8</subfield><subfield code="x">16643224</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:14</subfield><subfield code="g">year:2023</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3389/fimmu.2023.1131933</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/6f696106bb654d49af416d4165cb5253</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1131933/full</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1664-3224</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">14</subfield><subfield code="j">2023</subfield></datafield></record></collection>
|
score |
7.400304 |