Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1784844768584400896 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9726385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhangran scientometricanalysisofkidneydiseaseandgutmicrobiotafrom2001to2020basedonwebofscience AT liyanyan scientometricanalysisofkidneydiseaseandgutmicrobiotafrom2001to2020basedonwebofscience AT niezhongbiao scientometricanalysisofkidneydiseaseandgutmicrobiotafrom2001to2020basedonwebofscience AT zhangxueqin scientometricanalysisofkidneydiseaseandgutmicrobiotafrom2001to2020basedonwebofscience AT mayanmiao scientometricanalysisofkidneydiseaseandgutmicrobiotafrom2001to2020basedonwebofscience AT wangyonghui scientometricanalysisofkidneydiseaseandgutmicrobiotafrom2001to2020basedonwebofscience |