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DOI 10.3389/fimmu.2022.907851

Медицинская библиотека · Frontiers in immunology · 2022

Schizophrenia and Inflammation Research: A Bibliometric Analysis.

Sun He-Li, Bai Wei, Li Xiao-Hong, Huang Huanhuan, Cui Xi-Ling, Cheung Teris, Su Zhao-Hui, Yuan Zhen, Ng Chee H, Xiang Yu-Tao

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND

Schizophrenia (SCZ) is a severe psychiatric disorder that involves inflammatory processes. The aim of this study was to explore the field of inflammation-related research in SCZ from a bibliometric perspective.

METHODS

Regular and review articles on SCZ- and inflammation-related research were obtained from the Web of Science Core Collection (WOSCC) database from its inception to February 19, 2022. R package "bibliometrix" was used to summarize the main findings, count the occurrences of the top keywords, visualize the collaboration network between countries, and generate a three-field plot. VOSviewer software was applied to conduct both co-authorship and co-occurrence analyses. CiteSpace was used to identify the top references and keywords with the strongest citation burst.

RESULTS

A total of 3,596 publications on SCZ and inflammation were included. Publications were mainly from the USA, China, and Germany. The highest number of publications was found in a list of relevant journals. Apart from "schizophrenia" and "inflammatory", the terms "bipolar disorder," "brain," and "meta-analysis" were also the most frequently used keywords.

CONCLUSIONS

This bibliometric study mapped out a fundamental knowledge structure consisting of countries, institutions, authors, journals, and articles in the research field of SCZ and inflammation over the past 30 years. The results provide a comprehensive perspective about the wider landscape of this research area.

Для цитирования: Sun He-Li, Bai Wei, Li Xiao-Hong, Huang Huanhuan, Cui Xi-Ling, Cheung Teris, Su Zhao-Hui, Yuan Zhen, Ng Chee H, Xiang Yu-Tao. Schizophrenia and Inflammation Research: A Bibliometric Analysis.. Frontiers in immunology. 2022. DOI: 10.3389/fimmu.2022.907851.

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