Wang Jieyan, Wang Shuqing, Li Qingyu, Liu Fei, Wan Yantong, Liang Hui
Department of Urology, People's Hospital of Longhua, Shenzhen, China.
First Clinical Medical School, Southern Medical University, Guangzhou, China.
Front Neurol. 2024 Oct 8;15:1450663. doi: 10.3389/fneur.2024.1450663. eCollection 2024.
Neurodegenerative diseases are progressive disorders that severely diminish the quality of life of patients. However, research on neurodegenerative diseases needs to be refined and deepened. Single-cell polyomics is a technique for obtaining transcriptomic, proteomic, and other information from a single cell. In recent years, the heat of single-cell multiomics as an emerging research tool for brain science has gradually increased. Therefore, the aim of this study was to analyze the current status and trends of studies related to the application of single-cell multiomics in neurodegenerative diseases through bibliometrics.
A total of 596 publications were included in the bibliometric analysis. Between 2015 and 2022, the number of publications increased annually, with the total number of citations increasing significantly, exhibiting the fastest rate of growth between 2019 and 2022. The country/region collaboration map shows that the United States has the most publications and cumulative citations, and that China and the United States have the most collaborations. The institutions that produced the greatest number of articles were Harvard Medical School, Skupin, Alexander, and Wiendl. Among the authors, Heinz had the highest output. Mathys, H accumulated the most citations and was the authoritative author in the field. The journal Nature Communications has published the most literature in this field. A keyword analysis reveals that neurodegenerative diseases and lesions (e.g., Alzheimer's disease, amyloid beta) are the core and foundation of the field. Conversely, single-cell multiomics related research (e.g., single-cell RNA sequencing, bioinformatics) and brain nerve cells (e.g., microglia, astrocytes, neural stem cells) are the hot frontiers of this specialty. Among the references, the article "Single-cell transcriptomic analysis of Alzheimer's disease" is the most frequently cited (1,146 citations), and the article "Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq" was the most cited article in the field.
The objective of this study is to employ bibliometric methods to visualize studies related to single-cell multiomics in neurodegenerative diseases. This will enable us to summarize the current state of research and to reveal key trends and emerging hotspots in the field.
神经退行性疾病是渐进性疾病，严重降低患者的生活质量。然而，神经退行性疾病的研究需要细化和深化。单细胞多组学是一种从单个细胞中获取转录组学、蛋白质组学及其他信息的技术。近年来，单细胞多组学作为脑科学新兴研究工具的热度逐渐上升。因此，本研究旨在通过文献计量学分析单细胞多组学在神经退行性疾病中应用的相关研究现状及趋势。
文献计量分析共纳入596篇出版物。2015年至2022年期间，出版物数量逐年增加，总被引次数显著增加，在2019年至2022年期间增长速度最快。国家/地区合作图谱显示，美国的出版物和累积被引次数最多，中美之间的合作最多。发表文章数量最多的机构是哈佛医学院、斯库平、亚历山大和温德尔。在作者中，海因茨的产出最高。马西斯·H累积被引次数最多，是该领域的权威作者。《自然通讯》杂志在该领域发表的文献最多。关键词分析表明，神经退行性疾病和病变（如阿尔茨海默病、β淀粉样蛋白）是该领域的核心和基础。相反，单细胞多组学相关研究（如单细胞RNA测序、生物信息学）和脑神经细胞（如小胶质细胞、星形胶质细胞、神经干细胞）是该专业的前沿热点。在参考文献中，文章《阿尔茨海默病的单细胞转录组分析》被引用次数最多（1146次），文章《单细胞RNA测序揭示的小鼠皮层和海马体中的细胞类型》是该领域被引用次数最多的文章。
本研究的目的是运用文献计量方法可视化神经退行性疾病中与单细胞多组学相关的研究。这将使我们能够总结研究现状，并揭示该领域的关键趋势和新兴热点。
