Essentialism and Exclusion: Racism in Cancer Risk Prediction Models is a research paper published in JNCI Journal of the National Cancer Institute (2021). On theSindex it has a DataRank of 0. It has been cited 36 times.
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the National Cancer Institute of the National Institutes of Health
Grant: R01CA190391; P30CA091842
the National Institutes of Health
Grant: UL1TR002345
NCI NIH HHS
Grant: R01 CA190391
NCI NIH HHS
Grant: P30 CA091842
FWCI
2.45
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Inequities in referrals to a breast cancer risk assessment and prevention clinic: a mixed methods study
Additional file 1 of Inequities in referrals to a breast cancer risk assessment and prevention clinic: a mixed methods study
Additional file 1 of A catchment and location-allocation analysis of mammography access in Delaware, US: implications for disparities in geographic access to breast cancer screening
Additional file 1 of A catchment and location-allocation analysis of mammography access in Delaware, US: implications for disparities in geographic access to breast cancer screening
Additional file 2 of A catchment and location-allocation analysis of mammography access in Delaware, US: implications for disparities in geographic access to breast cancer screening
Additional file 2 of A catchment and location-allocation analysis of mammography access in Delaware, US: implications for disparities in geographic access to breast cancer screening
Additional file 3 of A catchment and location-allocation analysis of mammography access in Delaware, US: implications for disparities in geographic access to breast cancer screening
Additional file 3 of A catchment and location-allocation analysis of mammography access in Delaware, US: implications for disparities in geographic access to breast cancer screening
Additional file 2 of Analysis of ductal carcinoma in situ by self-reported race reveals molecular differences related to outcome
Additional file 1 of Analysis of ductal carcinoma in situ by self-reported race reveals molecular differences related to outcome