Simulations of tumor growth and response to immunotherapy by coupling a spatial agent-based model with a whole-patient quantitative systems pharmacology model is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0.621. It has been cited 62 times.
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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
0.621
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 Institutes of Health
Grant: R01CA138264
National Institutes of Health
Grant: U01CA212007
National Institutes of Health
Grant: 5R01CA138264-13
Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancer
National Institutes of Health
Grant: 5U01CA212007-03
Integrating bioinformatics into multiscale models for hepatocellular carcinoma
AstraZeneca
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Sustainable Development Goals