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. 2023 Jan 5:10:1070516.
doi: 10.3389/fcell.2022.1070516. eCollection 2022.

Bibliometric analysis of scientific papers on extracellular vesicles in kidney disease published between 1999 and 2022

Marady Hun  1 , Huai Wen  1 , Phanna Han  2 , Tharith Vun  3 , Mingyi Zhao  1 , Qingnan He  1
Affiliations

Bibliometric analysis of scientific papers on extracellular vesicles in kidney disease published between 1999 and 2022

Marady Hun et al. Front Cell Dev Biol. .

Abstract

Background: In recent years, there has been an increasing interest in using extracellular vesicles (EVs) as potential therapeutic agents or natural drug delivery systems in kidney-related diseases. However, a detailed and targeted report on the current condition of extracellular vesicle research in kidney-related diseases is lacking. Therefore, this prospective study was designed to investigate the use of bibliometric analysis to comprehensively overview the current state of research and frontier trends on extracellular vesicle research in kidney-related diseases using visualization tools. Methods: The Web of Science Core Collection (WoSCC) database was searched to identify publications related to extracellular vesicle research in kidney-related diseases since 1999. Citespace, Microsoft Excel 2019, VOSviewer software, the R Bibliometrix Package, and an online platform were used to analyze related research trends to stratify the publication data and collaborations. Results: From 1 January 1999 to 26 June 2022, a total of 1,122 EV-related articles and reviews were published, and 6,486 authors from 1,432 institutions in 63 countries or regions investigated the role of extracellular vesicles in kidney-related diseases. We found that the number of articles on extracellular vesicles in kidney-related diseases increased every year. Dozens of publications were from China and the United States. China had the most number of related publications, in which the Southeast University (China) was the most active institution in all EV-related fields. Liu Bi-cheng published the most papers on extracellular vesicles, while Clotilde Théry had the most number of co-citations. Most papers were published by The International Journal of Molecular Sciences, while Kidney International was the most co-cited journal for extracellular vesicles. We found that exosome-related keywords included exosome, exosm, expression, extracellular vesicle, microRNA, microvesicle, and liquid biopsy, while disease- and pathological-related keywords included biomarker, microRNA, apoptosis, mechanism, systemic lupus erythematosus, EGFR, acute kidney injury, and chronic kidney disease. Acute kidney disease (AKI), CKD, SLE, exosome, liquid biopsy, and extracellular vesicle were the hotspot in extracellular vesicle and kidney-related diseases research. Conclusion: The field of extracellular vesicles in kidney-related disease research is rapidly growing, and its domain is likely to expand in the next decade. The findings from this comprehensive analysis of extracellular vesicles in kidney-related disease research could help investigators to set new diagnostic, therapeutic, and prognostic ideas or methods in kidney-related diseases.

Keywords: EVs; acute kidney disease; bibliometric analysis; chronic kidney disease; exosomes; kidney disease.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Flow diagram of the included publications, methods, and results of bibliometric analysis.
FIGURE 2
FIGURE 2
Annual publication and annual citation trends in the past 22 years.
FIGURE 3
FIGURE 3
Countries, institutions, and journals related to EVs in kidney disease published worldwide. (A) Network map of the country distribution based on R for EVs in kidney disease. (B) Contributed countries cooperating based on an online bibliometric platform for EVs in kidney disease. (C) The chronological order of institutions produced the articles based on VOSviewer for EVs in kidney disease. (D) Journal density map based on VOSviewer for EVs in kidney disease. (E) The relationship of the countries, institutions, and journals produced articles based on an alluvial flow map based on R for EVs in kidney disease.
FIGURE 4
FIGURE 4
Analysis of authors and references involved in EVs in kidney disease. (A) The publication timeline for the 10 most active authors based on R. (B) Author local impact by H-index based on R. (C) Collaboration network of authors based on R. (D) Top 25 references with the strongest citation bursts based on CiteSpace involved in EVs in kidney disease.
FIGURE 5
FIGURE 5
Keyword-related mapping in studies on EVs in kidney disease. (A) Major keywords evolution based on R for EVs in kidney disease research. (B) Visualization based on keyword co-occurrence relationship based on VOSviewer for EVs in kidney disease. In this network map, keywords with close relationships are assigned to one cluster with the same color. All the keywords could be divided into five clusters: cluster 1 (green nodes), cluster 2 (yellow nodes), cluster 3 (red nodes), cluster 4 (purple nodes), and cluster 5 (blue nodes). (C) Top 25 keywords with the strongest bursts by CiteSpace. (D) The timeline view of keywords based on CiteSpace related to EVs in kidney disease.
FIGURE 6
FIGURE 6
Relationship of the top 20 co-cited references, authors, and keywords evolution based on an alluvial flow map by R.
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