Protein prediction models support widespread post-transcriptional regulation of protein abundance by interacting partners is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0.515. It has been cited 30 times.
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Base Score Contribution
0.515
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 →NIH Office of the Director
Grant: R03-OD032666;
National Heart, Lung, and Blood Institute
Grant: R00-HL144829
National Heart, Lung, and Blood Institute
Grant: R00-HL127302
National Heart, Lung, and Blood Institute
Grant: R01-HL141278
NIH HHS
Grant: R03 OD032666
NHLBI NIH HHS
Grant: R01 HL141278
NHLBI NIH HHS
Grant: R00 HL144829
NHLBI NIH HHS
Grant: R00 HL127302
National Institutes of Health
Grant: 5R00HL127302-05
ER Stress and Protein Dynamics in Cardiac Remodeling
National Institutes of Health
Grant: 1R03OD032666-01
Investigating systems physiology with multi-omics data
National Institutes of Health
Grant: 5R00HL144829-05
Multi-Omics Approach to Identify Cardiokines in Human iPSC Models
National Institutes of Health
Grant: 5R01HL141278-05
Alternative protein isoforms in ventricular remodeling
FWCI
1.80
Citation Percentile
0.9%
Citation Trend
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