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Scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on Web of Science

This study aims to demonstrate current research priorities and predict future trends in the link between kidney disease and gut microbiota by means of scientometric analysis. We collected nearly 20 years (2001–2020) of publications related to kidney disease and gut microbiota in the Web of Science d...

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Autores principales: Zhang, Ran, Li, Yan-Yan, Nie, Zhong-Biao, Zhang, Xue-Qin, Ma, Yan-Miao, Wang, Yong-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726385/
https://www.ncbi.nlm.nih.gov/pubmed/36482594
http://dx.doi.org/10.1097/MD.0000000000032081
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author Zhang, Ran
Li, Yan-Yan
Nie, Zhong-Biao
Zhang, Xue-Qin
Ma, Yan-Miao
Wang, Yong-Hui
author_facet Zhang, Ran
Li, Yan-Yan
Nie, Zhong-Biao
Zhang, Xue-Qin
Ma, Yan-Miao
Wang, Yong-Hui
author_sort Zhang, Ran
collection PubMed
description This study aims to demonstrate current research priorities and predict future trends in the link between kidney disease and gut microbiota by means of scientometric analysis. We collected nearly 20 years (2001–2020) of publications related to kidney disease and gut microbiota in the Web of Science database. CiteSpace was used to evaluate the knowledge mapping. There are 965 manuscripts about kidney disease and gut microbiota in total, and faster growth after 2016. The country, institution, and author who posted the most are the USA, Univ Calif Irvine, and DENISE MAFRA, respectively. The frequencies are 109, 16, and 17. The most important of them are FRANCE (0.23), Fed Univ Parana UFPR (0.13), and VAZIRI ND (1.14), owing to their highest centrality. In addition, the cited documents that have contributed the most to the co-citations are Wong J (2014); the most key cited reference is Rossi M (2016); the most commonly used keywords are chronic kidney disease, gut microbiota and indoxyl sulfate. Through scientometric analysis of the past 20 years, we obtained the knowledge map of this information, which has important guiding significance for accurately and quickly locating trends in this field.
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spelling pubmed-97263852022-12-09 Scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on Web of Science Zhang, Ran Li, Yan-Yan Nie, Zhong-Biao Zhang, Xue-Qin Ma, Yan-Miao Wang, Yong-Hui Medicine (Baltimore) 5200 This study aims to demonstrate current research priorities and predict future trends in the link between kidney disease and gut microbiota by means of scientometric analysis. We collected nearly 20 years (2001–2020) of publications related to kidney disease and gut microbiota in the Web of Science database. CiteSpace was used to evaluate the knowledge mapping. There are 965 manuscripts about kidney disease and gut microbiota in total, and faster growth after 2016. The country, institution, and author who posted the most are the USA, Univ Calif Irvine, and DENISE MAFRA, respectively. The frequencies are 109, 16, and 17. The most important of them are FRANCE (0.23), Fed Univ Parana UFPR (0.13), and VAZIRI ND (1.14), owing to their highest centrality. In addition, the cited documents that have contributed the most to the co-citations are Wong J (2014); the most key cited reference is Rossi M (2016); the most commonly used keywords are chronic kidney disease, gut microbiota and indoxyl sulfate. Through scientometric analysis of the past 20 years, we obtained the knowledge map of this information, which has important guiding significance for accurately and quickly locating trends in this field. Lippincott Williams & Wilkins 2022-12-02 /pmc/articles/PMC9726385/ /pubmed/36482594 http://dx.doi.org/10.1097/MD.0000000000032081 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 5200
Zhang, Ran
Li, Yan-Yan
Nie, Zhong-Biao
Zhang, Xue-Qin
Ma, Yan-Miao
Wang, Yong-Hui
Scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on Web of Science
title Scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on Web of Science
title_full Scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on Web of Science
title_fullStr Scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on Web of Science
title_full_unstemmed Scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on Web of Science
title_short Scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on Web of Science
title_sort scientometric analysis of kidney disease and gut microbiota from 2001 to 2020 based on web of science
topic 5200
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726385/
https://www.ncbi.nlm.nih.gov/pubmed/36482594
http://dx.doi.org/10.1097/MD.0000000000032081
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