Molecular characterisation of hepatocellular carcinoma in patients with non-alcoholic steatohepatitis is a research paper published in Journal of Hepatology (2021). On theSindex it has a DataRank of 8.4. It has been cited 236 times, with 200 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.820
From this paper's citation signal
Citation Network Contribution
7.6
From 178 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 200 citers.
Cancer Research UK
Grant: 23390
Instituto de Salud Carlos III
Grant: CM19/00039
Eurostars
Grant: E! 113707
NIH
Grant: RO1DK128289
Cancer Research UK
Grant: 26813
Swiss Transplant Cohort Study
Grant: C9380/A18084
European Social Fund
Grant: LCF/BQ/IN17/11620024
NCI NIH HHS
Grant: P30 CA196521
European Social Fund
Grant: PRE2020-094716
Cancer Research UK
Grant: C9380/A26813
European Commission
Grant: 667273
Mechanisms underlying hepatocellular carcinoma pathogenesis and impact of co-morbidities.
Cancer Research UK
Grant: C18342/A23390
Instituto de Salud Carlos III
Grant: CD19/00109
European Social Fund
Grant: SFB 179
Agència de Gestió d'Ajuts Universitaris i de Recerca
Grant: SGR-1358
Deutsche Krebshilfe
Grant: 70113922
Agència de Gestió d'Ajuts Universitaris i de Recerca
Grant: EEBB-I-17-12316
NIDDK NIH HHS
Grant: R01 DK128289
MICINN
Grant: SAF-2016-76390
Deutsche Forschungsgemeinschaft
Grant: 314905040
Instituto de Salud Carlos III
Grant: PI18/00961
MICINN
Grant: PID2019-105378RB-I00
NIH
Grant: RO1DK56621
US Department of Defense
Grant: CA150272P3
NIDDK NIH HHS
Grant: R01 DK056621
National Institutes of Health
Grant: 5R01DK056621-07
The Role of KLF6 in Hepatic Fibrosis
Deutsche Forschungsgemeinschaft
Grant: unidentified
unidentified
Deutsche Forschungsgemeinschaft
Grant: 314905040/TRR 209
Liver Cancer - New mechanistic and therapeutic concepts in a solid tumor model
National Institutes of Health
Grant: 1R01DK128289-01
Hepatic stellate cells in NASH fibrosis and HCC
National Institutes of Health
Grant: 1P30CA196521-01
Mouse Genetics
Bundesministerium für Bildung und Forschung
Samuel Waxman Cancer Research Foundation
Ministerio de Ciencia e Innovación
Generalitat de Catalunya
Fundación Científica de la Asociación Española Contra el Cáncer
Horizon 2020
Horizon 2020 Framework Programme
FWCI
24.37
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Human liver single nucleus and single cell RNA sequencing identify a hepatocellular carcinoma-associated cell-type affecting survival
Additional file 1 of Human liver single nucleus and single cell RNA sequencing identify a hepatocellular carcinoma-associated cell-type affecting survival
Additional file 1 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets
Additional file 1 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets
Additional file 3 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets
Additional file 3 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets
Additional file 2 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets
Additional file 2 of Integration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets