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

Yan Chak Li

Icahn School of Medicine at Mount Sinai

ORCID: 0000-0001-6554-5958
Health ProfessionsComputer ScienceBiochemistry, Genetics and Molecular BiologyMedicine

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 4%percentile
0.648Author DataRank

Indexed papers

6in 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 6 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.

A web portal for exploring kinase-substrate interactions

npj Systems Biology and Applications(2024)10.1038/s41540-024-00442-5
Top 50%
0.353DataRank
Top 50%5 citations

Yan Chak Li, Avner Schlessinger, Gaurav Pandey, John A. P. Sekar

Papers

Driven by 18 papers — median percentile 15. Top paper: “Clinical predictors of COVID-19 mortality”.

Clinical predictors of COVID-19 mortality

medRxiv(2020)10.1101/2020.05.19.20103036
N/A
0.584DataRank · unranked
48 citations

Yan Chak Li, Sonali Bose, Ravi Iyengar, Supinda Bunyavanich, Gaurav Pandey +1 more

Machine learning–driven identification of early-life air toxic combinations associated with childhood asthma outcomes

Journal of Clinical Investigation(2021)10.1172/jci152088
N/A
0.457DataRank · unranked
20 citations

Hsiao‐Hsien Leon Hsu, Yoojin Chun, Po-Hsiang Chiu, Zoe Arditi, Luz Cláudio +3 more

A web portal for exploring kinase-substrate interactions

npj Systems Biology and Applications(2024)10.1038/s41540-024-00442-5
Top 50%
0.353DataRank
Top 50%5 citations

Yan Chak Li, Avner Schlessinger, Gaurav Pandey, John A. P. Sekar

Machine learning-driven identification of air toxic combinations associated with asthma symptoms among elementary school children in Spokane, Washington, USA

The Science of The Total Environment(2024)10.1016/j.scitotenv.2024.171102
N/A
0.208DataRank · unranked
3 citations

Yan Chak Li, Dedra Buchwald, Gaurav Pandey, Solmaz Amiri

A Comprehensive Youth Diabetes Epidemiological Data Set and Web Portal: Resource Development and Case Studies

JMIR Public Health and Surveillance(2024)10.2196/53330
Top 70%
0.165DataRank
Top 70%2 citations

Yan Chak Li, Nita Vangeepuram, Bian Liu, Gaurav Pandey, Catherine McDonough

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

medRxiv(2021)10.1101/2021.10.20.21265298
N/A
0.165DataRank · unranked
2 citations

Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page +21 more

KinAce: a web portal for exploring kinase-substrate interactions

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.08.570875
Top 71%
0.130DataRank
Top 71%1 citations

Yan Chak Li, Avner Schlessinger, Gaurav Pandey, John A. P. Sekar

eipy: An Open-Source Python Package for Multi-modal Data Integration using Heterogeneous Ensembles

arXiv (Cornell University)(2024)10.48550/arxiv.2401.09582
N/A
0.104DataRank · unranked
1 citations

Susman, Aviad, Yan Chak Li, Gaurav Pandey, Jamie J. R. Bennett

Longitudinal Ensemble Integration for sequential classification with multimodal data

arXiv (Cornell University)(2024)10.48550/arxiv.2411.05983
N/A
0DataRank · unranked
0 citations

Rupak Krishnamurthy, Yan Chak Li, Mohammad Olaimat, Serdar Bozdag, Bino Varghese +3 more

Clinical features of COVID-19 mortality: development and validation of a clinical prediction model

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30217-x
N/A
0DataRank · unranked
303 citations

Yan Chak Li, Sonali Bose, Ravi Iyengar, Supinda Bunyavanich, Gaurav Pandey +1 more

The heterogeneity of youth at risk of prediabetes and diabetes: A latent class analysis of a United States national sample

Preventive Medicine(2025)10.1016/j.ypmed.2025.108384
N/A
0DataRank · unranked
1 citations

Yan Chak Li, Gaurav Pandey, Nita Vangeepuram, Bian Liu, Catherine McDonough

Integrating multimodal data through interpretable heterogeneous ensembles

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.29.123497
N/A
0DataRank · unranked
5 citations

Linhua Wang, Jeffrey Law, T. M. Murali, Gaurav Pandey, Yan Chak Li

Integrating multimodal data through interpretable heterogeneous ensembles

Bioinformatics Advances(2022)10.1093/bioadv/vbac065
N/A
0DataRank · unranked
22 citations

Linhua Wang, Jeffrey Law, T. M. Murali, Gaurav Pandey, Yan Chak Li

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

PLOS Digital Health(2023)10.1371/journal.pdig.0000208
N/A
0DataRank · unranked
10 citations

Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page +21 more

Facilitating youth diabetes studies with the most comprehensive epidemiological dataset available through a public web portal

medRxiv(2023)10.1101/2023.08.02.23293517
Top 100%
0DataRank
Top 100%0 citations

Yan Chak Li, Nita Vangeepuram, Bian Liu, Gaurav Pandey, Catherine McDonough

KinAce web portal and dataset of kinase-substrate interactions

Zenodo (CERN European Organization for Nuclear Research)(2023)10.5281/zenodo.10212985
Top 100%
0DataRank
Top 100%0 citations

Yan Chak Li, Avner Schlessinger, Gaurav Pandey, John A. P. Sekar

KinAce web portal and dataset of kinase-substrate interactions

Zenodo (CERN European Organization for Nuclear Research)(2023)10.5281/zenodo.10212986
Top 100%
0DataRank
Top 100%0 citations

Yan Chak Li, Avner Schlessinger, Gaurav Pandey, John A. P. Sekar

A comprehensive exploration of the druggable conformational space of protein kinases using AI-predicted structures

PLoS Computational Biology(2024)10.1371/journal.pcbi.1012302
N/A
0DataRank · unranked
18 citations

Yan Chak Li, David Stein, Gaurav Pandey, Avner Schlessinger, Noah B. Herrington