Predicting new drug indications for prostate cancer: The integration of an in silico proteochemometric network pharmacology platform with patient‐derived primary prostate cells is a research paper published in The Prostate (2020). On theSindex it has a DataRank of 0. It has been cited 15 times.
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.
National Institutes of Health
Grant: P30 CA051008‐25
National Institutes of Health
Grant: U01 CA194730
U.S. Department of Defense
Grant: CA140882
U.S. Department of Defense
Grant: PC140268
NIH HHS
Grant: P30 CA051008-25
NCI NIH HHS
Grant: R01 CA193698
NCI NIH HHS
Grant: P30 CA051008
National Institutes of Health
Grant: 3P30CA051008-16S1
CANCER CENTER SUPPORT GRANT
National Institutes of Health
Grant: 1U01CA194730-01
MicroRNAs in African American Prostate Cancer
FWCI
0.96
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals