Deciphering radiological stable disease to immune checkpoint inhibitors is a research paper published in Annals of Oncology (2022). On theSindex it has a DataRank of 0.590. It has been cited 50 times.
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Base Score Contribution
0.590
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 βNIH
Grant: K30-UL1TR00457
NIH
Grant: T32-CA009207
National Cancer Institute
Grant: PCT/US2015/062208
Damon Runyon Cancer Research Foundation
Grant: CI-98-18
NCATS NIH HHS
Grant: UL1 TR000457
NCI NIH HHS
Grant: P30 CA008748
NCI NIH HHS
Grant: T32 CA009207
FWCI
4.48
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Predicting response and toxicity to immune checkpoint inhibitors in lung cancer using antibodies to frameshift neoantigens
Additional file 1 of Predicting response and toxicity to immune checkpoint inhibitors in lung cancer using antibodies to frameshift neoantigens