An integrated model for predicting KRAS dependency is a research paper published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0.208. It has been cited 3 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?
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Base Score Contribution
0.208
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 Institute of General Medical Sciences
Grant: GM122741
National Institutes of Health
Grant: R01CA215075
National Institutes of Health
Grant: R01CA258451
National Institutes of Health
Grant: 1R41CA246848
NCI NIH HHS
Grant: R41 CA246848
National Institutes of Health
Grant: 1R41CA246848-01
Development of EFTX-001 to target KRAS mutations in cancer
National Institutes of Health
Grant: 5R01CA258451-03
Tumor Endothelial Cell Regulation of Pro-Metastatic Fibrin Matrices
National Institutes of Health
Grant: 5T32GM122741-05
Enhancement Training for the Next Generation of Translational Ph.D. Scientists
National Institutes of Health
Grant: 5R01CA215075-04
Immune Regulation of Lung Squamous Metastasis
Free To Breathe
North Carolina Biotechnology Center
Lung Cancer Research Foundation
FWCI
0.34
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals