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. 2024;22(2):302-322.
doi: 10.2174/1570159X21666230815125430.

A Bibliometric and Visual Analysis of Single Nucleotide Polymorphism Studies in Depression

Zi Zhang  1 , Ye Yang  1 , Wan Kong  1 , Shanqing Huang  1 , Yaqian Tan  1 , Shanshan Huang  1 , Ming Zhang  1 , Haoyang Lu  1 , Yuhua Li  1 , Xiaolin Li  1 , Shujing Liu  1 , Yuguan Wen  1 , Dewei Shang  1
Affiliations

A Bibliometric and Visual Analysis of Single Nucleotide Polymorphism Studies in Depression

Zi Zhang et al. Curr Neuropharmacol. 2024.

Abstract

Background: Genetic polymorphism has been proven to have an important association with depression, which can influence the risk of developing depression, the efficacy of medications, and adverse effects via metabolic and neurological pathways. Nonetheless, aspects of the association between single nucleotide polymorphisms and depression have not been systematically investigated by bibliometric analysis.

Objective: The aim of this study was to analyze the current status and trends of single nucleotide polymorphism research on depression through bibliometric and visual analysis.

Methods: The Web of Science Core Collection was used to retrieve 10,043 articles that were published between 1998 and 2021. CiteSpace (6.1 R4) was used to perform collaborative network analysis, co-citation analysis, co-occurrence analysis, and citation burst detection.

Results: The most productive and co-cited journals were the Journal of Affective Disorders and Biological Psychiatry, respectively, and an analysis of the references showed that the most recent research focused on the largest thematic cluster, "5-HT", reflecting the important research base in this area. "CYP2D6" has been in the spotlight since its emergence in 2009 and has become a research hotspot since its outbreak in 2019. However, "BDNF ", "COMT ", "older adults", "loci", and "DNA methylation" are also the new frontier of research, and some of them are currently in the process of exploration.

Conclusion: These findings offer a useful perspective on existing research and potential future approaches in the study of the association between single nucleotide polymorphisms and depression, which may assist researchers in selecting appropriate collaborators or journals.

Keywords: Depression; SNP; bibliometrics; citespace; genes; polymorphism..

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Conflict of interest statement

The authors declare no conflict of interest, financial or otherwise.

Figures

Fig. (1)
Fig. (1)
Flow chart of literature search.
Fig. (2)
Fig. (2)
The number of publications from 2006 to 2021 on SNP research in the depression field.
Fig. (3)
Fig. (3)
Visualization of the scientific collaboration network analysis for SNP research in depression 1998-2021. Collaborations between nations/regions (A), institutions (B), and authors (C). The map's nodes represent various components, including authors, nations/regions, and institutes, while the connecting lines between nodes show relationships among the participants in the project.
Fig. (4)
Fig. (4)
Clustering visualization plot for reference co-citation network analysis of the publications on SNP in the field of depression from 1998 to 2021.
Fig. (5)
Fig. (5)
Timezone view of keyword co-occurrences in articles on depression-related SNP research from 1998 to 2021. The map shows nodes that represent keywords and the chronological order of keyword occurrences. The size of the nodes varies in direct proportion to how frequently certain keywords appear.
Fig. (6)
Fig. (6)
The strongest burst of citations in the literature on SNP research in the field of depression from 1998 to 2021. The intensity values reflect the frequency of citations. Red bars indicate frequently cited citations; green bars indicate rarely cited citations.
Fig. (7)
Fig. (7)
The keywords with the strongest outbreak of citations in publications on SNP research in the field of depression published from 1998 to 2021.
See this image and copyright information in PMC

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