Computational model predicts paracrine and intracellular drivers of fibroblast phenotype after myocardial infarction is a research paper published in Matrix Biology (2020). On theSindex it has a DataRank of 0.593. It has been cited 51 times.
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Base Score Contribution
0.593
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 →NHLBI NIH HHS
Grant: R01 HL137755
NHLBI NIH HHS
Grant: R01 HL116449
NHLBI NIH HHS
Grant: F30 HL127944
NHLBI NIH HHS
Grant: R01 HL137100
NHLBI NIH HHS
Grant: T32 HL007284
National Institutes of Health
Grant: 5T32HL007284-12
BASIC CARDIOVASCULAR RESEARCH
National Science Foundation
Grant: 1252854
CAREER:Systems analysis of the cardiac hypertrophy signaling network
National Institutes of Health
Grant: 5F30HL127944-04
Modeling Cardiac Fibroblast Signaling to Predict Context-Dependent Modulators of Cardiac Fibrosis
National Institutes of Health
Grant: 5R01HL137755-03
Systems Pharmacology Model for Spatial Control of Cardiac Fibrosis
Office of Extramural Research, National Institutes of Health
National Science Foundation
FWCI
5.37
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals