Scientific Output and Research Trends in Biomarkers for Cerebrovascular Diseases: A Bibliometric Study (2015-2025)
Background: Cerebrovascular diseases remain one of the leading causes of mortality and long-term disability worldwide. In recent years, biomarkers have gained increasing importance in the diagnosis, prognosis, and management of cerebrovascular diseases. The rapid growth of scientific publications in this field necessitates a comprehensive bibliometric evaluation of current research trends and scientific productivity. This study aimed to perform a bibliometric analysis of global research on biomarkers in cerebrovascular disease published between 2015 and 2025.
Methods: Data were obtained from the Web of Science Core Collection database. Publications published between January 2015 and March 2025 were retrieved using predefined keywords related to cerebrovascular disease and biomarkers. Articles and review papers published in English were included. Bibliometric indicators including publication trends, citation analysis, country and institutional productivity, co-authorship networks, co-citation analysis, and keyword co-occurrence analysis were evaluated using VOSviewer and the Bibliometrix R package.
Results: A total of 4,582 publications were identified, and 4,126 articles and reviews met the inclusion criteria. The annual number of publications increased substantially over the study period, with the highest publication output observed in 2024. The United States was the leading contributor in terms of publication count and citation impact, followed by China and the United Kingdom. Stroke and Neurology were the most influential journals in the field. Keyword analysis demonstrated that “ischemic stroke,” “inflammation,” “oxidative stress,” and “microRNA” were among the most frequently investigated topics. Recent studies increasingly focused on exosomal biomarkers, neuroinflammation, artificial intelligence-assisted biomarker analysis, and precision medicine approaches.
Conclusion: Research on biomarkers in cerebrovascular disease has expanded rapidly over the past decade. Current trends emphasize molecular biomarkers, artificial intelligence applications, and personalized medicine strategies. These findings provide a comprehensive overview of the scientific landscape and may help guide future research directions in cerebrovascular biomarker studies.
