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

Bin Zhu

National Cancer Institute

ORCID: 0000-0001-6949-7535

Also affiliated with Division of Cancer Epidemiology and Genetics

MedicineBiochemistry, Genetics and Molecular Biology

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
0.428Author 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 43%9 citations

Erikka Loftfield, Ilona Argirion, Hans‐Olov Adami, Demetrius Albanes, Andrew T. Chan +32 more

Papers

Driven by 2 papers — median percentile 57. Top paper: Association of tea and coffee consumption and biliary tract cancer risk: The Biliary Tract Cancers Pooling Project.

Top 43%9 citations

Erikka Loftfield, Ilona Argirion, Hans‐Olov Adami, Demetrius Albanes, Andrew T. Chan +32 more

13 citations

Bin Zhu, Renwei Wang, Allan Hildesheim, Yu‐Tang Gao, Patricia A. Egner +3 more