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

Miriam Vazquez Segoviano

King's College London

ORCID: 0000-0002-2705-7280
MedicineBiochemistry, 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.

N/A
0Author DataRank · unranked

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 100%0 citations

Thea L. Willis, Olivia Sherwin, James Kaufman-Cook, Yasmine Kemkem, Miriam Vazquez Segoviano +11 more

Papers

Driven by 1 paper — median percentile 0. Top paper: Consensus Pituitary Atlas, a scalable resource for annotation, novel marker discovery and analyses in pituitary gland research.

Top 100%0 citations

Thea L. Willis, Olivia Sherwin, James Kaufman-Cook, Yasmine Kemkem, Miriam Vazquez Segoviano +11 more