ReviewJournal of nanobiotechnology2025
Scientometric analysis of extracellular vesicles in vision science (up to 2024).
Review in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mitochondrial transfer in cancer: a global bibliometric analysis.Frontiers in oncology · 2026Pooled it
- Landscape and evolutionary trends of nanotechnology in cancer radiosensitization.Discover nano · 2026Review
- Bibliometric analysis of research trends on nanotechnology applications in atherosclerosis.Discover nano · 2026Review
- Environmental Exposures and Oxidative Stress in Retinal and Optic Nerve Diseases: Mechanisms, Consequences, and Therapeutic Opportunities.Antioxidants (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundExtracellular vesicles (EVs) in vision science have gained significant attention. However, a comprehensive scientometric analysis of the key major contributors, the current research landscape, and development trends is still lacking.
objectivesTo detect and visualize the research strengths, knowledge base, and research frontiers of EVs in vision science.
methodsPublications of EVs on vision science were systematically collected from Web of Science, PubMed, Scopus, and Embase, covering the inception of each database up to December 31, 2024. Following data cleaning, a bibliometric assessment was conducted primarily based on VOSviewer and CiteSpace platforms. Key analysis included temporal publication trends, co-authorship patterns, the knowledge base, and the thematic evolution of research trends.
resultsA total of 427 original research articles were analyzed, with an average of 25.69 citations per article and an H-index of 55. The global annual cumulative publication showed exponential growth across three phases: a silent period (2003-2012, 8 articles), gradual growth (2013-2019, 67 articles), and a sharp surge from 2020 onward (352 articles). United States and China led in publication output, with the University of California System emerging as the most collaborative institution. The knowledge base comprises thirteen well-established themes, which originated around 2009. Fifteen salient research frontier themes have emerged, most of which remain in the developmental phase.
conclusionThe roles of EVs in pathophysiology, diagnostic, and therapeutic potential in vision science have been extensively explored; however, notable limitations and gaps remain, warranting further investigation. Moreover, the clinical translation of EVs-based applications faces significant challenges.
Indexed as
Identifiers
What OpenQuestion holds
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.