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

Sheng-Chieh Lu

The University of Texas MD Anderson Cancer Center

ORCID: 0000-0002-6685-1524
MedicineComputer ScienceNursing

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 3%percentile
1.5Author DataRank

Indexed papers

3in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data

Scientific Reports(2022)10.1038/s41598-022-22614-1
Top 25%
0.803DataRank
Top 25%18 citations

Charlotte C. Sun, Amy Schneider, Sheng-Chieh Lu, Karen H. Lu, Alexi A. Wright +2 more

Papers

Driven by 3 papers — median percentile 68. Top paper: “Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data”.

Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data

Scientific Reports(2022)10.1038/s41598-022-22614-1
Top 25%
0.803DataRank
Top 25%18 citations

Charlotte C. Sun, Amy Schneider, Sheng-Chieh Lu, Karen H. Lu, Alexi A. Wright +2 more

Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad216
Top 32%
0.609DataRank
Top 32%20 citations

Robin Austin, Sheng-Chieh Lu, Greg Silverman, Yuqi Zhou, Halil Kilicoglu +3 more

Predicting 180-day mortality for women with ovarian cancer using machine learning and patient-reported outcome data.

Journal of Clinical Oncology(2021)10.1200/jco.2021.39.15_suppl.e13555
Top 78%
0.104DataRank
Top 78%1 citations

Charlotte C. Sun, Cai Xu, Amy Schneider, Sheng-Chieh Lu, Ishwaria M. Subbiah +3 more