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

Peipei Ping

University of Arizona

ORCID: 0000-0003-3583-3881

Also affiliated with University of California, Los Angeles, University of Phoenix, Los Angeles Medical Center

ChemistryBiochemistry, 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 2%percentile
4.4Author DataRank

Indexed papers

2in 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 2 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 high-stringency blueprint of the human proteome

Nature Communications(2020)10.1038/s41467-020-19045-9
Top 6%
3.9DataRank
Top 6%217 citations

Edouard C. Nice, Eric W. Deutsch, Lydie Lane, Gilbert S. Omenn, Stephen R. Pennington +41 more

Papers

Driven by 15 papers — median percentile 80. Top paper: “A high-stringency blueprint of the human proteome”.

A high-stringency blueprint of the human proteome

Nature Communications(2020)10.1038/s41467-020-19045-9
Top 6%
3.9DataRank
Top 6%217 citations

Edouard C. Nice, Eric W. Deutsch, Lydie Lane, Gilbert S. Omenn, Stephen R. Pennington +41 more

Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop

Journal of Biomedical Informatics(2017)10.1016/j.jbi.2017.05.006
N/A
1.9DataRank · unranked
33 citations

Simon Koplev, Sherry L. Jenkins, Nathan D. Olson, Michel J. Dumontier, Ruben Verborgh +9 more

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundation Models

Bioengineering(2024)10.3390/bioengineering11100984
N/A
0.718DataRank · unranked
20 citations

D. Gary Gilliland, Jack Rincon, Henning Hermjakob, Yu Yan, Irsyad Adam +7 more

Omics Discovery Index - Discovering and Linking Public ‘Omics’ Datasets

bioRxiv (Cold Spring Harbor Laboratory)(2016)10.1101/049205
Top 35%
0.563DataRank
Top 35%12 citations

Mingze Bai, Felipe da Veiga Leprevost, Silvano Squizzato, Young Mi Park, Kenneth Haug +25 more

Missing Values in Longitudinal Proteome Dynamics Studies: Making a Case for Data Multiple Imputation

Journal of Proteome Research(2024)10.1021/acs.jproteome.4c00263
N/A
0.269DataRank · unranked
5 citations

Baradwaj Simha Sankar, Bilal Mirza, Dominic C. M. Ng, Alexander R. Pelletier, Sarah D. Huang +5 more

Protocol for the prediction, interpretation, and mutation evaluation of post-translational modification using MIND-S

STAR Protocols(2023)10.1016/j.xpro.2023.102682
N/A
0DataRank · unranked
3 citations

Dean Wang, Ruiqi Xin, Raine A. Soriano, Dominic C. M. Ng, Wei Wang +2 more

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Journal of Visualized Experiments(2023)10.3791/65084
N/A
0DataRank · unranked
2 citations

Dylan Steinecke, Dibakar Sigdel, Irsyad Adam, J. Harry Caufield, Vladimir Guevara-Gonzalez +8 more

Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs

arXiv (Cornell University)(2023)10.48550/arxiv.2310.03221
N/A
0DataRank · unranked
0 citations

Dylan Steinecke, Alexander R. Pelletier, Yushi Bai, Peipei Ping, Wei Wang +1 more

An Exercise Immune Fitness Test to Unravel Disease Mechanisms—A Proof-of-Concept Heart Failure Study

Journal of Clinical Medicine(2024)10.3390/jcm13113200
N/A
0DataRank · unranked
2 citations

Abhinandan Das Mahapatra, T. Bao, Irina Silacheva, Adrian Hairapetian, Thomas Vu +16 more

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models

arXiv (Cornell University)(2024)10.48550/arxiv.2408.01431
N/A
0DataRank · unranked
1 citations

D. Gary Gilliland, Jack Rincon, Henning Hermjakob, Yu Yan, Irsyad Adam +7 more

KDD Health Day 2025: Harnessing AI Opportunities in Biomedicine and Healthcare

(2025)10.1145/3711896.3737672
N/A
0DataRank · unranked
0 citations

Wei Ding, Carl Yang, Peipei Ping

Cardiovascular informatics: building a bridge to data harmony

Cardiovascular Research(2021)10.1093/cvr/cvab067
N/A
0DataRank · unranked
10 citations

Dibakar Sigdel, John Fu, Howard Choi, Vladimir Guevara-Gonzalez, Ding Wang +2 more

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference

Proceedings of the AAAI Conference on Artificial Intelligence(2021)10.1609/aaai.v35i16.17721
N/A
0DataRank · unranked
46 citations

Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun +3 more

CREATe: Clinical Report Extraction and Annotation Technology

arXiv (Cornell University)(2021)10.48550/arxiv.2103.00562
N/A
0DataRank · unranked
0 citations

Wei-ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang +4 more

MIND-S is a deep-learning prediction model for elucidating protein post-translational modifications in human diseases

Cell Reports Methods(2023)10.1016/j.crmeth.2023.100430
N/A
0DataRank · unranked
27 citations

Jyun‐Yu Jiang, Mingzhou Fu, Ding Wang, Alexander R. Pelletier, Dibakar Sigdel +4 more