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Knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022)

BACKGROUND: Research on exosomes in metabolic diseases has been gaining attention, but a comprehensive and objective report on the current state of research is lacking. This study aimed to conduct a bibliometric analysis of publications on “exosomes in metabolic diseases” to analyze the current stat...

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Detalles Bibliográficos
Autores principales: Xu, Fangzhi, Xia, Chenxi, Dou, Lin, Huang, Xiuqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200891/
https://www.ncbi.nlm.nih.gov/pubmed/37223047
http://dx.doi.org/10.3389/fendo.2023.1176430
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author Xu, Fangzhi
Xia, Chenxi
Dou, Lin
Huang, Xiuqing
author_facet Xu, Fangzhi
Xia, Chenxi
Dou, Lin
Huang, Xiuqing
author_sort Xu, Fangzhi
collection PubMed
description BACKGROUND: Research on exosomes in metabolic diseases has been gaining attention, but a comprehensive and objective report on the current state of research is lacking. This study aimed to conduct a bibliometric analysis of publications on “exosomes in metabolic diseases” to analyze the current status and trends of research using visualization methods. METHODS: The web of science core collection was searched for publications on exosomes in metabolic diseases from 2007 to 2022. Three software packages, VOSviewer, CiteSpace, and R package “bibliometrix” were used for the bibliometric analysis. RESULTS: A total of 532 papers were analyzed, authored by 29,705 researchers from 46 countries/regions and 923 institutions, published in 310 academic journals. The number of publications related to exosomes in metabolic diseases is gradually increasing. China and the United States were the most productive countries, while Ciber Centro de Investigacion Biomedica en Red was the most active institution. The International Journal of Molecular Sciences published the most relevant studies, and Plos One received the most citations. Khalyfa, Abdelnaby published the most papers and Thery, C was the most cited. The ten most co-cited references were considered as the knowledge base. After analysis, the most common keywords were microRNAs, biomarkers, insulin resistance, expression, and obesity. Applying basic research related on exosomes in metabolic diseases to clinical diagnosis and treatment is a research hotspot and trend. CONCLUSION: This study provides a comprehensive summary of research trends and developments in exosomes in metabolic diseases through bibliometrics. The information points out the research frontiers and hot directions in recent years and will provide a reference for researchers in this field.
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spelling pubmed-102008912023-05-23 Knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022) Xu, Fangzhi Xia, Chenxi Dou, Lin Huang, Xiuqing Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Research on exosomes in metabolic diseases has been gaining attention, but a comprehensive and objective report on the current state of research is lacking. This study aimed to conduct a bibliometric analysis of publications on “exosomes in metabolic diseases” to analyze the current status and trends of research using visualization methods. METHODS: The web of science core collection was searched for publications on exosomes in metabolic diseases from 2007 to 2022. Three software packages, VOSviewer, CiteSpace, and R package “bibliometrix” were used for the bibliometric analysis. RESULTS: A total of 532 papers were analyzed, authored by 29,705 researchers from 46 countries/regions and 923 institutions, published in 310 academic journals. The number of publications related to exosomes in metabolic diseases is gradually increasing. China and the United States were the most productive countries, while Ciber Centro de Investigacion Biomedica en Red was the most active institution. The International Journal of Molecular Sciences published the most relevant studies, and Plos One received the most citations. Khalyfa, Abdelnaby published the most papers and Thery, C was the most cited. The ten most co-cited references were considered as the knowledge base. After analysis, the most common keywords were microRNAs, biomarkers, insulin resistance, expression, and obesity. Applying basic research related on exosomes in metabolic diseases to clinical diagnosis and treatment is a research hotspot and trend. CONCLUSION: This study provides a comprehensive summary of research trends and developments in exosomes in metabolic diseases through bibliometrics. The information points out the research frontiers and hot directions in recent years and will provide a reference for researchers in this field. Frontiers Media S.A. 2023-05-08 /pmc/articles/PMC10200891/ /pubmed/37223047 http://dx.doi.org/10.3389/fendo.2023.1176430 Text en Copyright © 2023 Xu, Xia, Dou and Huang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Xu, Fangzhi
Xia, Chenxi
Dou, Lin
Huang, Xiuqing
Knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022)
title Knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022)
title_full Knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022)
title_fullStr Knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022)
title_full_unstemmed Knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022)
title_short Knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022)
title_sort knowledge mapping of exosomes in metabolic diseases: a bibliometric analysis (2007-2022)
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200891/
https://www.ncbi.nlm.nih.gov/pubmed/37223047
http://dx.doi.org/10.3389/fendo.2023.1176430
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