Informing immunotherapy with multi-omics driven machine learning is a research paper published in npj Digital Medicine (2024). On theSindex it has a DataRank of 0.685. It has been cited 95 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
0.685
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 →Foundation for the National Institutes of Health
Grant: U01TR003528
Foundation for the National Institutes of Health
Grant: 1R01LM013337
Foundation for the National Institutes of Health
Grant: R01CA257520
Foundation for the National Institutes of Health
Grant: R01CA232347
National Institutes of Health
Grant: 5R01CA232347-04
Targeting a Treg deubiquitinase in antitumor immune therapy
National Institutes of Health
Grant: 5R01LM013337-04
Modeling the Incompleteness and Biases of Health Data
National Institutes of Health
Grant: 1R01CA257520-01
A deubiquitination module controls Treg adaptation to tumor microenvironment
National Institutes of Health
Grant: 1U01TR003528-01A1
CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning
FWCI
17.19
Citation Percentile
1.0%
Influential Citations
4
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals