Allison J. Greaney
Molecular Biology · 2020–2021
A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 80 citations into it
- Genetics — 36 citations into it
- Computational Biology & Bioinformatics — 11 citations into it
Whom Allison J. Greaney trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kazutaka Katoh
- Heng Li
- Daron M. Standley
- David N. Mastronarde
- Jakub Otwinowski
- K. H. Crawford
- Jesse D. Bloom
- Stefan Elbe
- Tyler N. Starr
- Douglas M. Fowler
Papers from Allison J. Greaney's perspective
Ordered by how strongly the researchers Allison J. Greaney trusts endorse each paper. Same corpus, a different order for every researcher.
- A pneumonia outbreak associated with a new coronavirus of probable bat origin
- Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
- MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
- Protocol and Reagents for Pseudotyping Lentiviral Particles with SARS-CoV-2 Spike Protein for Neutralization Assays (bioRxiv)
- Human Monoclonal Antibody Combination against SARS Coronavirus: Synergy and Coverage of Escape Mutants
- Mapping the Antigenic and Genetic Evolution of Influenza Virus
- Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody
- Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insights into the origin of SARS coronavirus (PLoS Pathogens)
- Deep mutational scanning: a new style of protein science
- Unexpected Receptor Functional Mimicry Elucidates Activation of Coronavirus Fusion
Their papers
- Comprehensive mapping of mutations to the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human serum antibodies (2021) — 749 citations
- Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding (2020) — 1,185 citations
- Complete mapping of mutations to the SARS-CoV-2 spike receptor-binding domain that escape antibody recognition (2020) — 934 citations
- Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding (2020) — 968 citations
- Prospective mapping of viral mutations that escape antibodies used to treat COVID-19 (2020) — 627 citations