A comprehensive in vivo and mathematic modeling-based kinetic characterization for aspirin-induced chemoprevention in colorectal cancer is a research paper published in Carcinogenesis (2020). On theSindex it has a DataRank of 0.933. It has been cited 18 times, with 15 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
0.442
From this paper's citation signal
Citation Network Contribution
0.491
From 12 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 15 citers.
National Cancer Institute
Grant: CA72851
National Cancer Institute
Grant: CA184792
National Cancer Institute
Grant: CA187956
National Cancer Institute
Grant: CA202797
Cancer Prevention Research Institute of Texas
Grant: RP140784
NCI NIH HHS
Grant: R01 CA202797
NCI NIH HHS
Grant: R01 CA184792
NCI NIH HHS
Grant: U01 CA187956
NCI NIH HHS
Grant: R01 CA072851
Baylor Scott & White Research Institute
National Institutes of Health
Baylor Foundation
MeSH Terms
Additional file 1 of Longitudinal analysis of healthy colon establishes aspirin as a suppressor of cancer-related epigenetic aging
Additional file 1 of Longitudinal analysis of healthy colon establishes aspirin as a suppressor of cancer-related epigenetic aging