ArticleFrontiers in human neuroscience2025
Bibliometric analysis of neural injury biomarkers in neurodegenerative diseases: research trends and future perspectives.
Article in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- From Polyphenols to Prodrugs: Bridging the Blood-Brain Barrier with Nanomedicine and Neurotherapeutics.International journal of molecular sciences · 2026Review
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4 authors.
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Abstract
Introduction: Neurodegenerative diseases (NDs) are progressive disorders with an increasing global health impact. Neural injury biomarkers have emerged as potential tools for early diagnosis and disease monitoring. Methods: To map research trends in this field, we conducted a comprehensive bibliometric analysis of 1,228 peer-reviewed articles published from 1991 to 2024 using CiteSpace and the Bibliometrix R package. Results: Our analysis revealed steady publication growth, particularly accelerating after 2015. The United States, United Kingdom, and China produced the highest volume of publications and citations, with institutions such as the University of California System and Harvard University serving as key collaboration hubs. Early research prioritized tau, amyloid-beta (Aβ), cerebrospinal fluid (CSF), and mild cognitive impairment (MCI). Since 2020, the focus has expanded to blood-based biomarkers, exosomal microRNAs, and inflammation-related markers such as glial fibrillary acidic protein (GFAP) and translocator protein (TSPO). Through citation and clustering analyses, we identified three developmental phases: (1) CSF-based amyloid/tau validation, (2) multimodal and genetic biomarker integration, and (3) the emergence of plasma and neuroinflammatory markers. Discussion: These trends reflect a paradigm shift toward minimally invasive and multifactorial diagnostic approaches. Our findings underscore evolving priorities in NDs biomarker research and highlight the importance of multi-omics, artificial intelligence (AI), and interdisciplinary collaboration for translational discovery and clinical application.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.