TissGDB: tissue-specific gene database in cancer is a dataset published in Nucleic Acids Research (2018). On theSindex it has a DataRank of 3.3, placing it in the top 6.8% of the data-sharing corpus. It has been cited 135 times, with 74 citing works in its 1-hop citation network.
Ranks in the top 7% for downstream scientific impact
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
0.737
From this paper's citation signal
Citation Network Contribution
2.6
From 58 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 74 citers.
NLM NIH HHS
Grant: R01 LM012806
NCI NIH HHS
Grant: R21 CA196508
National Institutes of Health
Grant: 1R01LM012806-01
Predicting Phenotype by Using Transcriptomic Alteration as Endophenotype
National Institutes of Health
Grant: 1R21CA196508-01A1
MicroRNA and Transcription Factor Co-regulation in Cancer
FWCI
2.94
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals