Brief Report: Comprehensive Clinicogenomic Profiling of Small Cell Transformation From EGFR-Mutant NSCLC Informs Potential Therapeutic Targets is a research paper published in JTO Clinical and Research Reports (2023). On theSindex it has a DataRank of 0.504. It has been cited 12 times, with 11 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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
0.385
From this paper's citation signal
Citation Network Contribution
0.119
From 9 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 11 citers.
National Cancer Institute
Grant: P30-CA016672
National Cancer Institute
Grant: P50-CA070907
National Cancer Institute
Grant: R01-CA207295
National Cancer Institute
Grant: R50-CA243698
National Cancer Institute
Grant: U01-CA256780
Cancer Prevention and Research Institute of Texas
Grant: RP210028
Cancer Prevention and Research Institute of Texas
Grant: T32-CA009666
NCI NIH HHS
Grant: R50 CA243698
NCI NIH HHS
Grant: P50 CA070907
NCI NIH HHS
Grant: R01 CA207295
National Institutes of Health
Grant: 5U01CA256780-04
Molecular and immunological heterogeneity of Small Cell Lung Cancer (SCLC) and its impact on relapse and therapeutic response
National Institutes of Health
Grant: 5R50CA243698-02
Modeling tumor heterogeneity and treatment resistance in small cell lung cancer
National Institutes of Health
Grant: 3P50CA070907-02S1
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCER
National Institutes of Health
Grant: 3P30CA016672-41S4
Cancer Center Support (CORE) Grant
National Institutes of Health
Grant: 5T32CA009666-08
TRAINING FOR ACADEMIC ONCOLOGY
National Institutes of Health
Grant: 5R01CA207295-09
DNA damaging therapy and immune response in small cell lung cancer subtypes
National Institutes of Health
Damon Runyon Cancer Research Foundation
V Foundation for Cancer Research
Computer Modelling Group
Fields of Study
Keywords
Sustainable Development Goals