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

Yanik Weber

University of Zurich

ORCID: 0000-0002-0914-8541

Also affiliated with ETH Zurich

Biochemistry, Genetics and Molecular BiologyEnvironmental ScienceNeuroscience

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 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: Predicting adenine base editing efficiencies in different cellular contexts by deep learning.

6 citations

Amina Mollaysa, Sharan Janjuha, Nicolas Mathis, Kim Fabiano Marquart, Yanik Weber +11 more

24 citations

András Tálas, Eleonora I. Ioannidi, Yanik Weber, Desirée Böck, Mai Matsushita +21 more