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

Shan Chen

National University of Malaysia

ORCID: 0000-0001-7999-7410
MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

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
0.963Author 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.

LCD benchmark: long clinical document benchmark on mortality prediction for language models

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae287
Top 43%
0.430DataRank
Top 43%6 citations

Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman +3 more

Papers

Driven by 12 papers — median percentile 46. Top paper: “Large language models to identify social determinants of health in electronic health records”.

Large language models to identify social determinants of health in electronic health records

npj Digital Medicine(2024)10.1038/s41746-023-00970-0
N/A
8.7DataRank · unranked
270 citations

Shan Chen, Spencer A. Thomas, Tafadzwa L. Chaunzwa, Idalid Franco, Benjamin H. Kann +10 more

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Communications Medicine(2025)10.1038/s43856-025-01283-x
N/A
0.477DataRank · unranked
23 citations

Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi +21 more

LCD benchmark: long clinical document benchmark on mortality prediction for language models

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae287
Top 43%
0.430DataRank
Top 43%6 citations

Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman +3 more

LCD Benchmark: Long Clinical Document Benchmark on Mortality Prediction for Language Models

medRxiv(2024)10.1101/2024.03.26.24304920
Top 54%
0.309DataRank
Top 54%3 citations

Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman +3 more

The TRIPOD-LLM reporting guideline for studies using large language models: a Korean translation

Ewha Medical Journal(2025)10.12771/emj.2025.00661
Top 62%
0.224DataRank
Top 62%2 citations

Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Giovanni Cacciamani +20 more

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

Research Publications (Maastricht University)(2024)10.48550/arxiv.2406.12066
N/A
0.104DataRank · unranked
1 citations

Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond +5 more

Evaluating the ChatGPT family of models for biomedical reasoning and classification

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocad256
N/A
0DataRank · unranked
73 citations

Yingya Li, Sheng Lu, Hoang Anh Thi Van, Hugo J.W.L. Aerts, Guergana Savova +2 more

Uncertainty estimation in diagnosis generation from large language models: next-word probability is not pre-test probability

JAMIA Open(2024)10.1093/jamiaopen/ooae154
N/A
0DataRank · unranked
9 citations

Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman +5 more

The TRIPOD-LLM reporting guideline for studies using large language models

Nature Medicine(2025)10.1038/s41591-024-03425-5
N/A
0DataRank · unranked
389 citations

Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Giovanni Cacciamani +20 more

The effect of using a large language model to respond to patient messages

The Lancet Digital Health(2024)10.1016/s2589-7500(24)00060-8
N/A
0DataRank · unranked
129 citations

Marco Guevara-Vega, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann +12 more

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability

arXiv (Cornell University)(2024)10.48550/arxiv.2411.04962
N/A
0DataRank · unranked
0 citations

Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman +5 more

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks

PubMed(2024)10.18653/v1/2024.findings-emnlp.726
N/A
0DataRank · unranked
16 citations

Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond +5 more