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

Brenda González

Albert Einstein College of Medicine

ORCID: 0000-0003-1896-7626

Also affiliated with Purdue University West Lafayette

Biochemistry, Genetics and Molecular BiologyNeuroscience

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 5%percentile
0.479Author 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.

Top 40%9 citations

Adam D. Hudgins, Brenda González, Sofiya Milman, Nir Barzilai, Jan Vijg +3 more

Papers

Driven by 4 papers — median percentile 60. Top paper: A Compendium of Age-Related PheWAS and GWAS Traits for Human Genetic Association Studies, Their Networks and Genetic Correlations.

Top 40%9 citations

Adam D. Hudgins, Brenda González, Sofiya Milman, Nir Barzilai, Jan Vijg +3 more

N/A
0DataRank · unranked
15 citations

Brenda González, Frank S. Vago, Wen Jiang, Chen Sun

N/A
0DataRank · unranked
25 citations

Brenda González, Wen Jiang, Chen Sun

12 citations

Archana Tare, Seungjin Ryu, Simon C. Johnson, Gil Atzmon, Nir Barzilai +3 more