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

Robert C. Williams

National Institutes of Health

ORCID: 0009-0007-5894-9568

Also affiliated with National Institute of Diabetes and Digestive and Kidney Diseases

Immunology and MicrobiologyBiochemistry, 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 6%percentile
0.216Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

Next generation sequencing for HLA loci in full heritage Pima Indians of Arizona, Part II: HLA-A, -B, and -C with selected non-classical loci at 4-field resolution from whole genome sequences

Human Immunology(2021)10.1016/j.humimm.2021.03.013
Top 63%
0.216DataRank
Top 63%3 citations

Çiğdem Köroğlu, William C. Knowler, Alan R. Shuldiner, Nehal Gosalia, Cristopher V. Van Hout +4 more

Papers

Driven by 2 papers — median percentile 37. Top paper: “Next generation sequencing for HLA loci in full heritage Pima Indians of Arizona, Part II: HLA-A, -B, and -C with selected non-classical loci at 4-field resolution from whole genome sequences”.

Next generation sequencing for HLA loci in full heritage Pima Indians of Arizona, Part II: HLA-A, -B, and -C with selected non-classical loci at 4-field resolution from whole genome sequences

Human Immunology(2021)10.1016/j.humimm.2021.03.013
Top 63%
0.216DataRank
Top 63%3 citations

Çiğdem Köroğlu, William C. Knowler, Alan R. Shuldiner, Nehal Gosalia, Cristopher V. Van Hout +4 more

Epistasis Between HLA-DRB1*16:02:01 and SLC16A11 T-C-G-T-T Reduces Odds for Type 2 Diabetes in Southwest American Indians

Diabetes(2024)10.2337/db23-0925
N/A
0DataRank · unranked
0 citations

Robert L. Hanson, Bjoern Peters, Kendall Kearns, William C. Knowler, Clifton Bogardus +2 more