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

Pete Heinzelman

Duke University

ORCID: 0000-0002-5588-3731
MedicineBiochemistry, Genetics and Molecular BiologyEngineering

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 12 papers. Top paper: Neural networks to learn protein sequence–function relationships from deep mutational scanning data.

180 citations

Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Anthony Gitter, Sam Gelman

10 citations

Philip A. Romero, Pete Heinzelman

21 citations

Philip A. Romero, Pete Heinzelman

2 citations

Jonathan C. Greenhalgh, Philip A. Romero, Pete Heinzelman

0 citations

Jonathan C. Greenhalgh, Philip A. Romero, Pete Heinzelman

0 citations

Philip A. Romero, Pete Heinzelman

4 citations

Philip A. Romero, Pete Heinzelman

6 citations

Chase R. Freschlin, Pete Heinzelman, Philip A. Romero, Sarah A. Fahlberg

46 citations

Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Chase R. Freschlin

N/A
0DataRank · unranked
1 citations

Austen Nissen, Tracy Gasperetti, Jamie Foeckler, Anne Frei, Rachel Kuehn +6 more

17 citations

Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Anthony Gitter, Sam Gelman

0 citations

Philip A. Romero, Pete Heinzelman, Evelyn F Okal