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

Laurens Wiel

Stanford Medicine

ORCID: 0000-0003-3410-760X
Biochemistry, 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 6%percentile
0.187Author 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 66%2 citations

Laurens Wiel, Euan A. Ashley, Daniel Seung Kim

Papers

Driven by 4 papers — median percentile 34. Top paper: Molecular adaptations in response to exercise training are associated with tissue-specific transcriptomic and epigenomic signatures.

38 citations

Hanna Pinças, Gregory R. Smith, Elena Zaslavsky, Yongchao Ge, Mary Anne S. Amper +75 more

15 citations

Nicole M. Ferraro, Benjamin J. Strober, François Aguet, Silva Kasela, Marios Arvanitis +33 more

15 citations

Ben Heavner, Marsha M. Wheeler, Rachel A. Ungar, Jonathan LoTempio, Laurens Wiel +94 more

Top 66%2 citations

Laurens Wiel, Euan A. Ashley, Daniel Seung Kim