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Review
. 2023 Jul 28:17:1214301.
doi: 10.3389/fnins.2023.1214301. eCollection 2023.

Research landscape and emerging trends of diabetes-associated cognitive dysfunction: a bibliometric analysis

Siyi He  1 , Qingchun Liang  2 , Jie Zhu  1 , Chen Wang  1 , Xiafei Lin  1 , Duozhi Wu  1 , Wenqi Zhang  1 , Guanwen Lin  1 , Zhihua Wang  1
Affiliations
Review

Research landscape and emerging trends of diabetes-associated cognitive dysfunction: a bibliometric analysis

Siyi He et al. Front Neurosci. .

Abstract

Background: Diabetes-associated cognitive dysfunction (DACD) is a common and serious complication in diabetes and has a high impact on the lives of both individuals and society. Although a number of research has focused on DACD in the past two decades, there is no a study to systematically display the knowledge structure and development of the field. Thus, the present study aimed to show the landscape and identify the emerging trends of DACD research for assisting researchers or clinicians in grasping the knowledge domain faster and easier and focusing on the emerging trends in the field.

Methods: We searched the Web of Science database for all DACD-related studies between 2000 and 2022. Bibliometric analysis was conducted using the VOSviewer, CiteSpace, Histcite, and R bibliometric package, revealing the most prominent research, countries, institutions, authors, journals, co-cited references, and keywords.

Results: A total of 4,378 records were selected for analysis. We found that the volume of literature on DACD has increased over the years. In terms of the number of publications, the USA ranked first. The most productive institutions were the University of Washington and the University of Pittsburgh. Furthermore, Biessels GJ was the most productive author. Journal of Alzheimers Disease, Diabetes Care, and Frontiers in Aging Neuroscience had the most publications in this field. The keywords"dementia," "alzheimers-disease," "cognitive impairment" and "diabetes" are the main keywords. The burst keywords in recent years mainly included "signaling pathway" and "cognitive deficit."

Conclusion: This study systematically illustrated advances in DACD over the last 23 years. Current findings suggest that exploring potential mechanisms of DACD and the effect of anti-diabetes drugs on DACD are the hotspots in this field. Future research will also focus on the development of targeted drugs that act on the DACD signaling pathway.

Keywords: CiteSpace; VOSviewer; bibliometric analysis; cognitive dysfunction; diabetes.

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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.All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Figures

Figure 1
Figure 1
Flow chart of literature retrieval and analysis methods.
Figure 2
Figure 2
The total number of publications and the cumulative publications for research in DACD (2000–2022).
Figure 3
Figure 3
Diabetes-associated cognitive dysfunction (DACD) research contributions from different countries. (A) Top 20 corresponding author’s country. (MCP, multiple country publications; SCP, single country publications). (B) Top 10 countries’ production over time (2000–2022). (C) Network visualization of country collaboration. According to the map depicting countries’ cooperation, 61 countries had at least five publications. Each node represented a different country. Nodes are sized according to country publications, and the thickness of the links represents the strength of the relationship between them. (D) Density map of countries’ cooperation.
Figure 4
Figure 4
Analysis of institutions. (A) Top 10 productive institutions. (B) Network visualization of institution collaboration. Based on CiteSpace, the node’s size represents the number of publications from the institution, and the thickness of inter-institutional links indicates the strength of the institution’s relationship.
Figure 5
Figure 5
Analysis of authors and co-cited authors. (A) Top 10 authors in terms of the number of publications. (B) CiteSpace visualization of co-cited authors. (C) Network visualization of author collaboration. Approximately 1,000 authors with at least two publications were shown on the map of authors’ cooperation. The node’s size represents the the number of publications from the authors, and the thickness of inter-author links indicates the strength of the institution’s relationship. (D) Density map of authors’ cooperation on DACD.
Figure 6
Figure 6
Analysis of journals. (A) A biplot overlay of journals on Diabetes-associated cognitive dysfunction. (Left side represents areas covered by citing journals, and the right side represents areas covered by cited journals). (B) CiteSpace visualization of co-cited journals. As a node in the network represents a journal, co-citations reflected by the size of the node. The centrality of a node with a purple ring around it signifies the importance of the journal. (C) TOP 10 journals in terms of H-index. (D) TOP 10 journals in terms of G-index.
Figure 7
Figure 7
Analysis of co-cited references. (A) Visualization of co-cited references. Nodes represent co-cited references, with red circles representing citation bursts references. (B) Cluster analysis of co-cited references. A total of 15 clusters are found in the network graph. (C) Timeline graph of cluster analysis. (D) Top 25 references with the strongest citation bursts.
Figure 8
Figure 8
Analysis of keywords. (A) Co-occurrence and clustering of keywords in author keywords and keywords plus fields of publications related to DACD. (B) Density map of keywords co-occurrence. (C) Trends in keywords frequency over time. In the overlay visualization map, different colors were assigned to different keywords based on their average appearance time. In terms of time course, keywords in blue appeared relatively earlier than those in yellow. (D) CiteSpace visualization map of the Top 25 keywords with the strongest bursts.
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