ArticleDiscover oncology2026
A bibliometric analysis of optogenetics in cancer research based on the web of science core collection.
Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo conduct a bibliometric analysis of the research literature on optogenetics in the field of cancer.
methodsA literature search and screening were performed using the query "ALL FIELD = (Cancer) AND ALL FIELD = (Optogenetics)" in the Core Collection database of Web of Science. Bibliometric analyses at the levels of country, institution, journal, author, and keyword were carried out using CiteSpace, VOSviewer, and the Bibliometrix online platform. Additionally, co-citation and keyword clustering analyses were performed.
resultsA total of 304 articles published between 2009 and September 2025 (including early online and pending publications) were identified, sourced from 146 different journals. The average publication time was 4.7 years, with an average citation count of 44.76 per article. A total of 791 unique author keywords were identified, corresponding to 2,215 distinct authors, including one single-author article. The analysis reveals that research on optogenetics in cancer remains vibrant, with a consistent increase in publication volume over the years. Research is primarily concentrated in economically advanced countries such as the United States and China. High-impact journals, such as Nature Communications, publish the majority of these studies. Leading authors are primarily from China and the United States, with research hotspots emerging in recent years. "Optogenetics" has emerged as the dominant keyword, with research topics shifting from early studies on optical control to more recent areas, such as engineered bacteria and differentiation.
conclusionCurrent research trends in optogenetics and cancer focus on engineered bacteria, differentiation, and the exploration of cellular signaling mechanisms. Future research should prioritize the development of optogenetic cancer cell models and the investigation of underlying cellular pathway mechanisms. Moreover, future studies integrating optogenetic control with immunotherapeutic strategies may offer transformative advances in cancer treatment.
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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.