A Bibliometric and Knowledge-Map Analysis of Macrophage Polarization in Insulin Resistance From 1999 to 2023

IF 3.1 4区 医学 Q3 IMMUNOLOGY
Chuning Lin, Yuan Chen, Yao Ge, Huimin Niu, Xinyi Zhang, Feng Jiang, Chuyan Wu
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引用次数: 0

Abstract

Background

Despite numerous studies confirming the association between insulin resistance (IR) and macrophage polarization, there is a lack of bibliometric analysis in this area. Therefore, our objective is to conduct a comprehensive analysis of published literature and identify potential future research trends using bibliometrics.

Method

Publications on the topic of macrophage polarization in IR were gathered from the Web of Science Core Collection database (WoSCC) spanning the years 1999–2023. Bibliometric analysis and visualization were conducted using VOSviewers, CiteSpace, the R package “bibliometrix” and Tableau Public.

Result

A total of 3435 articles published between 1999 and 2023 were included in the analysis. These articles originated from 75 countries, with the United States and China leading in contributions. The top five research institutions are the University of California, San Diego, Harvard University, the University of Michigan, Shanghai Jiao Tong University, and Huazhong University of Science and Technology. In this research domain, Diabetes is the most frequently published journal, and the Journal of Clinical Investigation is the most co-cited. Among the 19,398 authors contributing to these publications, Lumeng CN. not only authored the most papers but also received the highest number of co-citations. “Insulin resistance” emerges as a primary keyword in the analysis of emerging research hotspots.

Conclusion

For the first time, bibliometric methods have been employed to conduct a comprehensive summary of papers relevant to macrophage polarization in IR. This study aims to identify the current research direction and future research hotspots, offering valuable guidance and insights for scholars in the field.

Abstract Image

从 1999 年到 2023 年胰岛素抵抗中巨噬细胞极化的文献计量和知识图谱分析。
背景:尽管大量研究证实了胰岛素抵抗(IR)与巨噬细胞极化之间的关联,但该领域缺乏文献计量学分析。因此,我们的目标是对已发表的文献进行全面分析,并利用文献计量学确定潜在的未来研究趋势:方法:我们从科学网核心数据库(WoSCC)中收集了1999-2023年间以红外巨噬细胞极化为主题的文献。使用VOSviewers、CiteSpace、R软件包 "bibliometrix "和Tableau Public进行文献计量分析和可视化:共有 3435 篇发表于 1999-2023 年间的文章被纳入分析范围。这些文章来自 75 个国家,其中美国和中国的贡献最大。排名前五的研究机构分别是加州大学圣地亚哥分校、哈佛大学、密歇根大学、上海交通大学和华中科技大学。在这一研究领域,《糖尿病》是发表论文最多的期刊,《临床研究杂志》是被联合引用最多的期刊。在发表这些论文的 19,398 位作者中,Lumeng CN.不仅撰写了最多的论文,还获得了最多的联合引用。在新兴研究热点分析中,"胰岛素抵抗 "成为主要关键词:本研究首次采用文献计量学方法对与红外巨噬细胞极化相关的论文进行了全面总结。本研究旨在明确当前的研究方向和未来的研究热点,为该领域的学者提供有价值的指导和见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Immunity, Inflammation and Disease
Immunity, Inflammation and Disease Medicine-Immunology and Allergy
CiteScore
3.60
自引率
0.00%
发文量
146
审稿时长
8 weeks
期刊介绍: Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including: • cellular and molecular immunology • clinical immunology • allergy • immunochemistry • immunogenetics • immune signalling • immune development • imaging • mathematical modelling • autoimmunity • transplantation immunology • cancer immunology
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