Quantitative Proteomics of All 14 Renal Tubule Segments in Rat is a research paper published in Journal of the American Society of Nephrology (2020). On theSindex it has a DataRank of 0. It has been cited 136 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 Heart, Lung, and Blood Institute
Grant: ZIA-HL001285
National Heart, Lung, and Blood Institute
Grant: ZIA-HL006129
Intramural NIH HHS
Grant: ZIA HL001285
Intramural NIH HHS
Grant: ZIA HL006129
FWCI
6.80
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of LAMA2 and LOXL4 are candidate FSGS genes
Additional file 1 of LAMA2 and LOXL4 are candidate FSGS genes
Additional file 2 of Bayesian analysis of dynamic phosphoproteomic data identifies protein kinases mediating GPCR responses
Additional file 2 of Bayesian analysis of dynamic phosphoproteomic data identifies protein kinases mediating GPCR responses
Additional file 3 of Bayesian analysis of dynamic phosphoproteomic data identifies protein kinases mediating GPCR responses
Additional file 3 of Bayesian analysis of dynamic phosphoproteomic data identifies protein kinases mediating GPCR responses
Additional file 4 of Bayesian analysis of dynamic phosphoproteomic data identifies protein kinases mediating GPCR responses
Additional file 4 of Bayesian analysis of dynamic phosphoproteomic data identifies protein kinases mediating GPCR responses