{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T02:15:50Z","timestamp":1788833750163,"version":"build-2803163510"},"reference-count":48,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T00:00:00Z","timestamp":1727222400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Parkinson\u2019s disease (PD) is a neurodegenerative disorder characterized by the degeneration of dopaminergic neurons. Recent research has emphasized a significant correlation between microRNAs (miRNAs) and PD. To identify key research areas, provide a comprehensive overview of current research in various fields, and propose potential directions for future studies, a bibliometric analysis was conducted on the involvement of miRNAs in Parkinson\u2019s disease from 2014 to 2023.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Relevant literature records were collected from the Web of Science Core Collection on February 29, 2024. Subsequently, the data underwent analysis using the Bibliometrix R package and VOSviewer (version 1.6.19).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The annual scientific publications on miRNAs and Parkinson\u2019s disease demonstrated an increasing trend, with an annual growth rate of 12.67%. China, the United States, and India emerged as the top three most productive countries\/regions. The University of Barcelona had the highest annual publications, followed by Central South University and the Helmholtz Association. The <jats:italic>INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES<\/jats:italic> held the top position in terms of H-index and total citations, reflecting its extensive influence and prolific publication output. <jats:italic>Kim, J., Junn, E., H\u00e9bert, S.S.,<\/jats:italic> and <jats:italic>Doxakis, E.<\/jats:italic> were the most frequently co-cited authors in the field. Based on the analysis of keywords, the most frequently occurring terms included \u201calpha-synuclein,\u201d \u201cneurodegenerative disease,\u201d \u201cexosome,\u201d \u201cneuroinflammation,\u201d \u201coxidative stress,\u201d \u201cautophagy,\u201d and \u201camyotrophic lateral sclerosis,\u201d which have emerged as prominent research topics. Concurrently, there has been notable interest in topics such as \u201cceRNA,\u201d \u201clncRNAs,\u201d \u201cmitochondrial dysfunction,\u201d and \u201ccircular RNA.\u201d<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This study focused on identifying emerging trends and critical research topics in the bibliometric analysis of microRNAs related to Parkinson\u2019s disease. These findings highlight the diverse research landscape and evolving trend of miRNA-related research in PD. The field of miRNA research in Parkinson\u2019s disease is actively exploring the underlying mechanisms of miRNA function, identifying potential diagnostic markers, and developing innovative therapeutic strategies. The results of our study offer significant contributions to researchers\u2019 ability to track contemporary developments and guide the trajectory of future research in this domain.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fneur.2024.1466186","type":"journal-article","created":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T12:59:23Z","timestamp":1727269163000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Bibliometric analysis of microRNAs and Parkinson\u2019s disease from 2014 to 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