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. 2023 May 8:14:1176430.
doi: 10.3389/fendo.2023.1176430. eCollection 2023.

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

Fangzhi Xu  1 , Chenxi Xia  2 , Lin Dou  1 , Xiuqing Huang  1
Affiliations

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

Fangzhi Xu et al. Front Endocrinol (Lausanne). .

Abstract

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.

Keywords: VOSviewer; bibliometric; bibliometrix; citespace; exosomes; knowledge-map; metabolic diseases.

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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 chart of the data collection for research on exosomes in metabolic diseases.
Figure 2
Figure 2
Trends of exosomes in metabolic diseases publications from 2007 to 2022.
Figure 3
Figure 3
The distribution of countries and institutions publishing research on exosomes in metabolic diseases. (A) The network map of countries/regions publishing research on exosomes in metabolic diseases by VOSviewer. (B) The network map of institutes involved in research on exosomes in metabolic diseases by VOSviewer.
Figure 4
Figure 4
A dual-map overlay of journals related to the exosomes in metabolic diseases from 2007 to 2022.
Figure 5
Figure 5
(A) The visualization of co-cited references on research of exosomes in metabolic diseases. (B) Top 25 references with strong citation bursts. A red bar indicates high citations in that year.
Figure 6
Figure 6
(A) Co-occurrence network of keywords by VOSviewer. (B) Keyword Cluster Analysis.
Figure 7
Figure 7
The cumulative growth keywords (top 20).
Figure 8
Figure 8
(A) CiteSpace visualization map of timeline viewer related to exosomes in metabolic diseases. (B) Trend topics. The X-axis represents the year, while the Y-axis is the cumulate occurrences of the keywords.
Figure 9
Figure 9
Function of exosomes in metabolic diseases in diagnosis and treatment.
See this image and copyright information in PMC

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