Translational Modeling Identifies Synergy between Nanoparticle-Delivered miRNA-22 and Standard-of-Care Drugs in Triple-Negative Breast Cancer is a research paper published in Pharmaceutical Research (2022). On theSindex it has a DataRank of 0.494. It has been cited 26 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
0.494
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: 1R01CA253865
National Institutes of Health
Grant: 1U01CA196403
National Institutes of Health
Grant: 1U01CA213759
National Institutes of Health
Grant: 1R01CA226537
National Institutes of Health
Grant: 1R01CA222007
National Science Foundation
Grant: DMS-1930583
NCI NIH HHS
Grant: R01 CA226537
NCI NIH HHS
Grant: R01 CA253865
NIGMS NIH HHS
Grant: R01 GM122775
NCI NIH HHS
Grant: U01 CA213759
NCI NIH HHS
Grant: U54 CA210181
NCI NIH HHS
Grant: P50 CA127001
NCI NIH HHS
Grant: R01 CA222007
NCI NIH HHS
Grant: U01 CA196403
NCI NIH HHS
Grant: R01 CA182905
FWCI
2.19
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer
Additional file 1 of Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer