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

Nathan Skene

Hammersmith Hospital

ORCID: 0000-0002-6807-3180

Also affiliated with Imperial Valley College, UK Dementia Research Institute, Imperial College London

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
0.371Author 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.

Gene expression patterns of the developing human face at single cell resolution reveal cell type contributions to normal facial variation and disease risk

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.18.633396
Top 48%
0.371DataRank
Top 48%8 citations

Emma Wentworth Winchester, Brian M. Schilder, Kelsey Robinson, Sarah W. Curtis, Nathan Skene +3 more

Papers

Driven by 4 papers — median percentile 52. Top paper: “Artificial intelligence for dementia genetics and omics”.

Artificial intelligence for dementia genetics and omics

Alzheimer s & Dementia(2023)10.1002/alz.13427
N/A
0.500DataRank · unranked
27 citations

Nathan Skene, Sara Bandrés‐Ciga, Emma L. Anderson, Laura Winchester, Isabelle F. Foote +20 more

Gene expression patterns of the developing human face at single cell resolution reveal cell type contributions to normal facial variation and disease risk

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.18.633396
Top 48%
0.371DataRank
Top 48%8 citations

Emma Wentworth Winchester, Brian M. Schilder, Kelsey Robinson, Sarah W. Curtis, Nathan Skene +3 more

Genome-wide analyses of quantitative generalised anxiety symptom severity

medRxiv(2025)10.1101/2025.07.10.25331321
N/A
0.165DataRank · unranked
2 citations

Brittany L. Mitchell, Elham Assary, Danyang Li, Geneviève Morneau‐Vaillancourt, Alan E Murphy +51 more

Harnessing the potential of machine learning and artificial intelligence for dementia research

Brain Informatics(2023)10.1186/s40708-022-00183-3
N/A
0DataRank · unranked
36 citations

Magda Bucholc, Donald M. Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby +11 more