Evidence mapPaperPMID 41848985Full record

ArticleNeuroinformatics2026

Global Research Trends, Hotspots and Collaborative Networks in Brain-Derived Extracellular Vesicles: A Multi-Database Bibliometric Analysis.

Adhish Mazumder, Shubhankhi Dey, Prasenjit Mitra

Abstract read
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In one paragraph

Article in Neuroinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Adhish MazumderDepartment of Biochemistry, Postgraduate Institute of Medical Education & Research (PGIMER), Chandigarh, India.ORCID http://orcid.org/0000-0001-5202-2904
Shubhankhi DeyDepartment of Biochemistry, Postgraduate Institute of Medical Education & Research (PGIMER), Chandigarh, India.ORCID http://orcid.org/0000-0002-7501-9502
Prasenjit MitraDepartment of Biochemistry, Postgraduate Institute of Medical Education & Research (PGIMER), Chandigarh, India. prasy4u@gmail.com.ORCID http://orcid.org/0000-0003-4826-1587

Funding

Indian Council of Medical Research IIRPSG-2024-01-06555
6 · The paper itself

Abstract

Brain-derived extracellular vesicles (bdEVs) are emerging mediators of intercellular communication with increasing significance in neuroscience and translational medicine. We conducted a cross-database bibliometric analysis of PubMed, Scopus, and Web of Science (2000–June 2025) to map global research trends, hotspots, and collaboration networks in bdEV research. After multi-stage deduplication and screening, the remaining original research articles were included for quantitative and network analyses. Publication output rose sharply after 2018 and peaked in 2024, reflecting rapid field expansion. The United States and China were the most productive contributors, with recent leadership shifting toward China with international collaboration intensifying, particularly through US–China partnerships. A compact author core and leading institutions such as Johns Hopkins University and the University of California drive the field, while the Journal of Extracellular Vesicles and several multidisciplinary and clinical journals serve as primary outlets. Keyword and cluster analyses revealed dominant themes such as extracellular vesicles/exosomes, astrocytes, neuroinflammation, biomarkers, and neurodegenerative disease alongside emerging foci in cell-type–specific bdEV biology, multi-omics profiling, and translational biomarker development. Funding is led by the NIH, European Union, and National Natural Science Foundation of China. Overall, bdEV research has matured into a globally networked, interdisciplinary domain with increasing translational potential. Future priorities include methodological harmonization, expanded international collaboration, and targeted efforts to validate bdEV biomarkers and therapeutic applications.

Indexed as

BibliometricsBiomedical ResearchBrainDatabases, FactualExtracellular VesiclesAnimalsHumansBdEVBibliometric analysisBiomarker discoveryBiomarkersBrain-derived extracellular vesiclesExtracellular vesicles

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.