C. Mills

Also affiliated with Cancer Research UK, Cancer Genetics (United States)

MedicineBiochemistry, Genetics and Molecular BiologyPhysics and Astronomy

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 4%percentile

0.863Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers

Nature Communications(2024)10.1038/s41467-024-46927-z

Top 23%

0.863DataRank

Top 23%27 citations

Amit Sud, C. Mills, Abi Hyde, Richard Culliford, Philip Law +8 more

Papers

Driven by 3 papers — median percentile 77. Top paper: “Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers”.