Modeling memory T cell states at single-cell resolution identifies in vivo state-dependence of eQTLs influencing disease is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
Scored on demand from live citation data
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
0.269
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5U19AI111224-05
Metabolic factors that control the spectrum of human tuberculosis
National Institutes of Health
Grant: 5T32AR007530-14
MECHANISMS OF ARTHRITIC AND DERMATOLOGIC DISORDEERS
National Institutes of Health
Grant: 5T32HG002295-23
Training in Bioinformatics and Integrative Genomics
National Institutes of Health
Grant: 5R01AR063759-10
Defining the influence of RA genetic susceptibility factors on T cell antigen specificity and functional state
National Institutes of Health
Grant: 5R01AI049313-25
T cell responses to CD1-restricted lipids in tuberculosis
National Institutes of Health
Grant: 1UH2AR067677-01
RA-SLE Molecular Deconstruction Leadership Center
National Institutes of Health
Grant: 5U01HG009379-03
Functionally specialized components of disease heritability in ENCODE data
Fields of Study