ArticlePrecision radiation oncology2026
Mapping the research landscape of the correlation between radiotherapy and tumor immune microenvironment: A bibliometric analysis.
Article in Precision radiation 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Radiation therapy (RT) is a cornerstone of cancer treatment that not only directly kills tumor cells but also produces synergistic effects with immunotherapy by remodeling the tumor immune microenvironment (TIME). However, systematic bibliometric analyses of RT-TIME interactions remain unexplored. Methods: This study analyzed all the literature related to RT and TIME from the Web of Science (WOS) Core Collection through 2024. It utilized R, VOSviewer, and CiteSpace to visually analyze authors, countries, institutions, keywords, co-cited references, research hotspots, and frontiers. Results: China, the United States, and Germany emerged as the leading contributors, with 1,253, 581, and 162 publications, respectively. Frontiers in Immunology was the most active journal ( Conclusions: This comprehensive bibliometric analysis highlights future priorities, including exploring optimal synergistic strategies for combination therapies, investigating spatiotemporally resolved immune mechanisms, and developing predictive biomarkers. These areas are currently experiencing rapid growth and require further research.
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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.