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2020 年至 2022 年 COVID-19 固有免疫的当前热点和研究趋势:文献计量分析。

Current hotspot and study trend of innate immunity in COVID-19: a bibliometric analysis from 2020 to 2022.

机构信息

Department of Cardiology, First Affiliated Hospital of Gannan Medical University, Gannan Medical University, Ganzhou, China.

Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China.

出版信息

Front Immunol. 2023 May 10;14:1135334. doi: 10.3389/fimmu.2023.1135334. eCollection 2023.


DOI:10.3389/fimmu.2023.1135334
PMID:37234160
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10206249/
Abstract

BACKGROUND: Since the coronavirus disease 2019 (COVID-19) has spread throughout the world, many studies on innate immunity in COVID-19 have been published, and great progress has been achieved, while bibliometric analysis on hotspots and research trends in this field remains lacking. METHODS: On 17 November 2022, articles and reviews on innate immunity in COVID-19 were recruited from the Web of Science Core Collection (WoSCC) database after papers irrelevant to COVID-19 were further excluded. The number of annual publications and the average citations per paper were analyzed by Microsoft Excel. Bibliometric analysis and visualization of the most prolific contributors and hotspots in the field were performed by VOSviewer and CiteSpace software. RESULTS: There were 1,280 publications that met the search strategy on innate immunity in COVID-19 and were published from 1 January 2020 to 31 October 2022. Nine hundred thirteen articles and reviews were included in the final analysis. The USA had the highest number of publications (Np) at 276 and number of citations without self-citations (Nc) at 7,085, as well as an H-index of 42, which contributed 30.23% of the total publications, followed by China (Np: 135, Nc: 4,798, and H-index: 23) with 14.79% contribution. Regarding Np for authors, Netea, Mihai G. (Np: 7) from the Netherlands was the most productive author, followed by Joosten, Leo A. B. (Np: 6) and Lu, Kuo-Cheng (Np: 6). The Udice French Research Universities had the most publications (Np: 31, Nc: 2,071, H-index: 13), with an average citation number (ACN) at 67. The journal possessed the most publications (Np: 89, Nc: 1,097, ACN: 12.52). "Evasion" (strength 1.76, 2021-2022), "neutralizing antibody" (strength 1.76, 2021-2022), "messenger RNA" (strength 1.76, 2021-2022), "mitochondrial DNA" (strength 1.51, 2021-2022), "respiratory infection" (strength 1.51, 2021-2022), and "toll-like receptors" (strength 1.51, 2021-2022) were the emerging keywords in this field. CONCLUSION: The study on innate immunity in COVID-19 is a hot topic. The USA was the most productive and influential country in this field, followed by China. The journal with the most publications was . "Messenger RNA," "mitochondrial DNA," and "toll-like receptors" are the current hotspots and potential targets in future research.

摘要

背景:自 2019 年冠状病毒病(COVID-19)在全球范围内传播以来,已经发表了许多关于 COVID-19 中先天免疫的研究,并且取得了很大的进展,而该领域的热点和研究趋势的文献计量分析仍然缺乏。

方法:2022 年 11 月 17 日,在排除与 COVID-19 无关的论文后,从 Web of Science 核心合集(WoSCC)数据库中招募了关于 COVID-19 中先天免疫的文章和综述。使用 Microsoft Excel 分析年度出版物数量和每篇论文的平均引用次数。使用 VOSviewer 和 CiteSpace 软件对该领域最具影响力的贡献者和热点进行文献计量分析和可视化。

结果:共有 1280 篇符合 COVID-19 中先天免疫搜索策略的出版物,发表日期为 2020 年 1 月 1 日至 2022 年 10 月 31 日。最终分析包括 913 篇文章和综述。美国的出版物数量(Np)最多,为 276 篇,无自引引文数量(Nc)为 7085 篇,H 指数为 42,占总出版物的 30.23%,其次是中国(Np:135,Nc:4798,H 指数:23),占 14.79%。就作者的 Np 而言,荷兰的 Netea,Mihai G.(Np:7)是最具影响力的作者,其次是 Joosten,Leo A. B.(Np:6)和 Lu,Kuo-Cheng(Np:6)。法国 Udice 研究型大学的出版物数量最多(Np:31,Nc:2071,H 指数:13),平均引文数(ACN)为 67。该期刊《自然评论免疫学》(Nature Reviews Immunology)的出版物数量最多(Np:89,Nc:1097,ACN:12.52)。“逃逸”(强度 1.76,2021-2022 年)、“中和抗体”(强度 1.76,2021-2022 年)、“信使 RNA”(强度 1.76,2021-2022 年)、“线粒体 DNA”(强度 1.51,2021-2022 年)、“呼吸道感染”(强度 1.51,2021-2022 年)和“ toll 样受体”(强度 1.51,2021-2022 年)是该领域的新兴关键词。

结论:COVID-19 中先天免疫的研究是一个热点。美国是该领域最具影响力和影响力的国家,其次是中国。发表文章最多的期刊是《自然评论免疫学》。“信使 RNA”、“线粒体 DNA”和“ toll 样受体”是当前的热点和未来研究的潜在目标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/9df336a14065/fimmu-14-1135334-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/2f156a812256/fimmu-14-1135334-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/83d745ca7d5c/fimmu-14-1135334-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/41713f814345/fimmu-14-1135334-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/d0660fd8d2ae/fimmu-14-1135334-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/679163f5a356/fimmu-14-1135334-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/ecf9c26026a1/fimmu-14-1135334-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/9df336a14065/fimmu-14-1135334-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/2f156a812256/fimmu-14-1135334-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/83d745ca7d5c/fimmu-14-1135334-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/41713f814345/fimmu-14-1135334-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/d0660fd8d2ae/fimmu-14-1135334-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/679163f5a356/fimmu-14-1135334-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/ecf9c26026a1/fimmu-14-1135334-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2dd/10206249/9df336a14065/fimmu-14-1135334-g007.jpg

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