ArticleWorld journal of hepatology2025
Global landscape of hepatic organoid research: A bibliometric and visual study.
Article in World journal of hepatology, 2025. 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.
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatic organoid-based modelling, through the elucidation of a range of
aimThis study was designed to analyse the global scientific output of hepatic organoid research and assess current achievements and future trends through bibliometric analysis.
methodsArticles were retrieved from the Web of Science Core Collection, and CiteSpace 6.3.R1 was employed to analyse the literature, including outputs, journals, and countries, among others.
resultsBetween 2010 and 2024, a total of 991 articles pertaining to hepatic organoid research were published. The journal
conclusionResearch on hepatic organoids has increased over the past decade and is expected to continue to grow. Key research areas include applications for liver diseases and drug development. Future trends likely to gain focus include patient-derived tumour organoids, disease modelling, and personalized medicine.
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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.