🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Sangkyu Lee

ORCID: 0000-0003-4124-6077

EngineeringPhysics and AstronomyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study”.

Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study

PLoS ONE(2020)10.1371/journal.pone.0226157

N/A

0.529DataRank · unranked

33 citations

Xiaolin Liang, Meghan Woods, Anne S. Reiner, Patrick Concannon, Leslie Bernstein +6 more

Prediction of Breast Cancer Treatment–Induced Fatigue by Machine Learning Using Genome-Wide Association Data

JNCI Cancer Spectrum(2020)10.1093/jncics/pkaa039

N/A

0DataRank · unranked

21 citations

Joseph O. Deasy, Jung Hun Oh, Antonio Di Meglio, Agnès Dumas, Gwenn Menvielle +18 more

Predicting the germline dependence of hematuria risk in prostate cancer radiotherapy patients

Radiotherapy and Oncology(2023)10.1016/j.radonc.2023.109723

N/A

0DataRank · unranked

9 citations

Sangkyu Lee, Maria Thor, Barry S. Rosenstein, Allen Tannenbaum, Sarah L. Kerns +2 more