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

Daniel Männle

University of Tübingen

ORCID: 0000-0001-8437-3071
MedicineVeterinaryMaterials Science

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 2%percentile
2.5Author 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 9%131 citations

Stefan Verhoeven, Lars Ridder, Florian Huber, Deepa Acharya, Alexander A. Aksenov +95 more

Papers

Driven by 2 papers — median percentile 91. Top paper: A community resource for paired genomic and metabolomic data mining.

Top 9%131 citations

Stefan Verhoeven, Lars Ridder, Florian Huber, Deepa Acharya, Alexander A. Aksenov +95 more

73 citations

Shaun M. K. McKinnie, Shrikant Mantri, Kat Steinke, Zeyin Lu, Bradley S. Moore +3 more