Patrice Koehl
University of California, Davis
ORCID: 0000-0002-0908-068XPilot 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.
Indexed papers
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.
Faculty Opinions recommendation of Computational design of closely related proteins that adopt two well-defined but structurally divergent folds.
Patrice Koehl
Papers
Driven by 6 papers — median percentile 0. Top paper: “Faculty Opinions recommendation of Improved protein structure prediction using predicted interresidue orientations.”.
Faculty Opinions recommendation of Improved protein structure prediction using predicted interresidue orientations.
Patrice Koehl
Faculty Opinions recommendation of Energetic dependencies dictate folding mechanism in a complex protein.
Patrice Koehl
Faculty Opinions recommendation of Computational design of closely related proteins that adopt two well-defined but structurally divergent folds.
Patrice Koehl
Faculty Opinions recommendation of A defined structural unit enables de novo design of small-molecule-binding proteins.
Patrice Koehl
Patrice Koehl, Charles W. Carter, Clemens Vonrhein, Maryna Kapustina, Poramaet Laowanapiban +1 more
Charles W. Carter, Patrice Koehl, Violetta Weinreb, Li Li, Srinivas Niranj Chandrasekaran +1 more