eQTL studies: from bulk tissues to single cells is a research paper published in Journal of genetics and genomics/Journal of Genetics and Genomics (2023). On theSindex it has a DataRank of 1.6. It has been cited 72 times, with 70 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.
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Base Score Contribution
0.644
From this paper's citation signal
Citation Network Contribution
0.965
From 47 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 70 citers.
National Institutes of Health
Grant: R01 GM134005
National Institutes of Health
Grant: R56 AG074015
National Science Foundation
Grant: DMS-2015190
National Science Foundation
Grant: DMS-2210469
NCATS NIH HHS
Grant: UL1 TR001863
National Science Foundation
Grant: 2015190
Statistical Modeling and Inference for Network Data in Modern Applications
National Institutes of Health
Grant: 1R56AG074015-01
Sex-Specific Single Cell Expression Profiles, Genetic Risk and Drug Responsiveness in Alzheimer's Disease
National Institutes of Health
Grant: 1R01GM134005-01A1
Novel statistical methods and tools to integrate multiple endophenotypes and functional annotation data to study the roles of rare variants in complex human diseases using sequencing data
National Science Foundation
Grant: 2210469
Methods and Theory for Estimating Individual-Specific and Cell-Type-Specific Gene Networks
FWCI
16.51
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
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