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

Edison Ong

University of Michigan

ORCID: 0000-0002-5159-414X
Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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 1%percentile
6.2Author 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.

CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis

Scientific Data(2020)10.1038/s41597-020-0523-6
Top 4%
5.0DataRank
Top 4%133 citations

Hong Yu, Edison Ong, Yang Wang, Yingtong Liu, Anthony Huffman +9 more

Papers

Driven by 9 papers — median percentile 70. Top paper: “CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis”.

CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis

Scientific Data(2020)10.1038/s41597-020-0523-6
Top 4%
5.0DataRank
Top 4%133 citations

Hong Yu, Edison Ong, Yang Wang, Yingtong Liu, Anthony Huffman +9 more

A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology

Journal of Biomedical Semantics(2022)10.1186/s13326-022-00279-z
Top 30%
0.668DataRank
Top 30%24 citations

Hong Yu, Anthony Huffman, Yu Lin, Darren A. Natale, John Beverley +38 more

VaximmutorDB: A Web-Based Vaccine Immune Factor Database and Its Application for Understanding Vaccine-Induced Immune Mechanisms

Frontiers in Immunology(2021)10.3389/fimmu.2021.639491
Top 32%
0.608DataRank
Top 32%13 citations

Peter Sun, Edison Ong, Nasim Sanati, Anthony Huffman, Timothy Brunson +10 more

COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.03.20.000141
N/A
0DataRank · unranked
118 citations

Mei U Wong, Anthony Huffman, Yongqun He, Edison Ong

A new framework for host-pathogen interaction research

Frontiers in Immunology(2022)10.3389/fimmu.2022.1066733
N/A
0DataRank · unranked
17 citations

Li Li, Anthony Huffman, John Beverley, Junguk Hur, Eric Merrell +22 more

Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens

Bioinformatics(2020)10.1093/bioinformatics/btaa119
N/A
0DataRank · unranked
167 citations

Haihe Wang, Mei U Wong, Meenakshi Seetharaman, Ninotchka Valdez, Yongqun He +1 more

Spatial transcriptomics identifies novel Pseudomonas aeruginosa virulence factors

Cell Genomics(2025)10.1016/j.xgen.2025.100805
N/A
0DataRank · unranked
4 citations

Oscar Negrón, Serena Abbondante, Michaela Marshall, Brandon Jones, Edison Ong +8 more

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning

Frontiers in Immunology(2020)10.3389/fimmu.2020.01581
N/A
0DataRank · unranked
458 citations

Mei U Wong, Anthony Huffman, Yongqun He, Edison Ong

Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project

Nature Reviews Nephrology(2020)10.1038/s41581-020-00335-w
N/A
0DataRank · unranked
71 citations

Lucy Lu Wang, Jennifer A. Schaub, John F. O’Toole, Becky Steck, Avi Z. Rosenberg +24 more