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

Fernando Riveros-Mckay

Genomics (United Kingdom)

ORCID: 0000-0002-6671-1177
Biochemistry, Genetics and Molecular BiologyMedicineEconomics, Econometrics and Finance

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 100%percentile
0Author 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.

Top 27%153 citations

Daniel Wells, Saskia Selzam, Iliana Peneva, Rachel Moore, Kevin Sharp +13 more

Papers

Driven by 3 papers — median percentile 73. Top paper: A polygenic risk score added to a QRISK®2 cardiovascular disease risk calculator demonstrated robust clinical acceptance and clinical utility in the primary care setting.

49 citations

Ella Adlen, Mark Monane, Ruth Coll, Sarah Groves, Elizabeth Little +14 more

1405 citations

Heather Elding, Tao Jiang, Dave Allen, Dace Ruklisa, Alice L. Mann +78 more

Top 27%153 citations

Daniel Wells, Saskia Selzam, Iliana Peneva, Rachel Moore, Kevin Sharp +13 more