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

Jonathan Bayerl

University of California, San Francisco

ORCID: 0000-0002-2096-7652

Also affiliated with California Institute for Regenerative Medicine

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 5%percentile
0.420Author 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 44%11 citations

Mihai Miclăuș, Alexander Nater, Mariela Faykoo-Martinez, Kendra Hoekzema, Philip C. Zuzarte +28 more

Papers

Driven by 3 papers — median percentile 56. Top paper: An updated reference genome sequence and annotation reveals gene losses and gains underlying naked mole-rat biology.

Top 44%11 citations

Mihai Miclăuș, Alexander Nater, Mariela Faykoo-Martinez, Kendra Hoekzema, Philip C. Zuzarte +28 more

259 citations

Vladislav Krupalnik, Sergey Viukov, Nofar Mor, Alejandro Aguilera-Castrejon, Dan Schneir +18 more

9 citations

Kayla Lenshoek, Ryan M. Boileau, Jonathan Bayerl, Hector H. Huang, Arun P. Wiita +3 more