Wang Yiran, Li Tong, Zhang Xiaoqing, Tai Haoran, Li Weihong, Su Bingyin
Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Development and Regeneration Key Lab of Sichuan Province, Department of Histology and Embryology, Chengdu Medical College, Chengdu, China.
Front Aging Neurosci. 2025 May 21;17:1505374. doi: 10.3389/fnagi.2025.1505374. eCollection 2025.
This study leverages bibliometric analysis to uncover the research landscape and spotlight emerging trends in the field of Parkinson's disease (PD) transcriptomics.
The relevant literature on Parkinson's disease and transcriptomics was retrieved from the Web of Science Core Collection database. Bibliometric analysis was conducted using VOSviewer, CiteSpace, and the Bibliometrix R package.
A total of 208 research articles were retrieved from January 2011 to March 2025. The number of publications has shown a steady increase, particularly from 2020 to 2024, with an average annual publication rate of 29 articles during this period. The United States and China were the leading countries in terms of publication counts, while the University of Luxembourg and McGill University were the top contributing institutions. The most impactful journals included "Nature Communications" and "NPJ Parkinson's Disease." The co-occurrence analysis of keywords revealed that "Parkinson's disease," "transcriptomics," "neurodegeneration," and "biomarkers" are current research hotspots. Citation burst analysis identified key references related to genetics, transcriptomics, and data analysis tools that have significantly influenced the field.
This study offers the first comprehensive bibliometric analysis of Parkinson's disease (PD) transcriptomics research from 2011 to 2025. We reveal a significant surge in research activity, particularly since 2020, driven by advancements in single-cell and spatial transcriptomics. The United States and China lead in publication output, with key contributions from the University of Luxembourg and McGill University. Research hotspots include neuroinflammation, biomarker discovery, and machine learning applications, indicating a shift toward translational research. However, challenges such as data heterogeneity and high biomarker validation failure rates persist. Future research should focus on standardizing methodologies and enhancing clinical relevance. Strategic directions include multi-omics integration, global collaboration, and linking transcriptomic signatures to clinical outcomes, aiming to improve early diagnosis and personalized therapies for PD.
本研究利用文献计量分析来揭示帕金森病（PD）转录组学领域的研究概况并突出新兴趋势。
从科学网核心合集数据库中检索帕金森病与转录组学的相关文献。使用VOSviewer、CiteSpace和Bibliometrix R包进行文献计量分析。
从2011年1月至2025年3月共检索到208篇研究文章。出版物数量呈稳步增长，特别是在2020年至2024年期间，这期间的年均发表率为29篇文章。就发表数量而言，美国和中国是领先国家，而卢森堡大学和麦吉尔大学是贡献最大的机构。最具影响力的期刊包括《自然通讯》和《NPJ帕金森病》。关键词共现分析表明，“帕金森病”“转录组学”“神经退行性变”和“生物标志物”是当前的研究热点。引文突发分析确定了与遗传学、转录组学和数据分析工具相关的关键参考文献，这些文献对该领域产生了重大影响。
本研究首次对2011年至2025年帕金森病（PD）转录组学研究进行了全面的文献计量分析。我们发现研究活动显著激增，特别是自2020年以来，这是由单细胞和空间转录组学的进展推动的。美国和中国在发表量方面领先，卢森堡大学和麦吉尔大学做出了重要贡献。研究热点包括神经炎症、生物标志物发现和机器学习应用，表明向转化研究的转变。然而，数据异质性和生物标志物验证失败率高等挑战仍然存在。未来的研究应侧重于规范方法并提高临床相关性。战略方向包括多组学整合、全球合作以及将转录组特征与临床结果联系起来，旨在改善PD的早期诊断和个性化治疗。
