Jonathan C. Greenhalgh

MedicineBiochemistry, 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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production”.

Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production

Nature Communications(2021)10.1038/s41467-021-25831-w

N/A

0DataRank · unranked

102 citations

Sarah A. Fahlberg, Brian F. Pfleger, Philip A. Romero, Jonathan C. Greenhalgh

Yeast surface display-based identification of ACE2 mutations that modulate SARS-CoV-2 spike binding across multiple mammalian species

Protein Engineering Design and Selection(2021)10.1093/protein/gzab035

N/A

0DataRank · unranked

2 citations

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

Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.21.445192

N/A

0DataRank · unranked

2 citations

Sarah A. Fahlberg, Brian F. Pfleger, Philip A. Romero, Jonathan C. Greenhalgh

Yeast surface display-based identification of ACE2 mutations that modulate SARS-CoV-2 spike binding across multiple mammalian species

渤海大学学报：哲学社会科学版(2021)10.1101/2021.03.16.435705

N/A

0DataRank · unranked

0 citations

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