ArticleDiscover oncology2025
Bibliometric analysis of immunogenic cell death in hepatocellular carcinoma.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Therapeutic Effects ofInternational journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to delineate global research trends in immunogenic cell death (ICD) within hepatocellular carcinoma (HCC) by mapping collaborative networks, thematic shifts, and high-impact findings. Using VOSviewer network visualisation and R-bibliometrix quantitative metrics, we sought to show how scientific output has evolved and to pinpoint research gaps that may guide future investigations.
methodsWe retrieved 568 publications from the Web of Science Core Collection (2000-2024) using a tailored keyword strategy encompassing "Hepatocellular carcinoma" and "Immunogenic cell death." Data were analyzed with VOSviewer and R-bibliometrix to visualize co-authorship patterns, keyword clusters, institutional collaborations, and citation metrics.
resultsAnnual publication volumes rose markedly, peaking at 68 in 2023, and this quantitative surge parallels a qualitative shift toward clinically actionable research outputs. Over the entire period, the corpus accumulated 13 161 citations (mean 23.2 citations/article), indicating strong and growing academic influence. Keyword co-occurrence revealed three main clusters highlighting immunotherapeutic mechanisms, molecular pathways (e.g., HMGB1 and calreticulin), and epidemiological concerns. China and the United States led in overall output, with universities such as the University of California System, Harvard University, and Shanghai-based institutions forming robust collaborative networks. Highly cited articles, such as Zhong et al. (2016, Cell) on autophagy-inflammation crosstalk and Yu et al. (2020, ACS Nano) on mitophagy-augmented doxorubicin, underscored the role of autophagy, checkpoint inhibitors, and combination therapies in harnessing ICD to overcome HCC's immunosuppressive microenvironment. These patterns indicate that the field is transitioning from descriptive bibliometrics to translational studies, signalling that forthcoming work will likely accelerate rational design of ICD-based clinical trials and inform funding priorities.
conclusionThe findings confirm ICD as an emerging cornerstone of HCC research, with demonstrated capacity to reshape clinical-trial portfolios and refine biomarker-driven patient stratification, reflecting both deeper mechanistic insights and accelerating translational efforts. Ongoing challenges include refining biomarkers, integrating ICD inducers with immunotherapies, and accounting for HCC's inherent complexities such as chronic liver disease and metabolic dysfunction. Future research directions focus on the use of nanotechnology for precise drug delivery, the integration of metabolomics and genomics data to enable personalised treatment, and the improvement of combination therapies combined with local interventions.
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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.