Michelle DeWitt
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Enzyme Catalysis and Immobilization
- Microbial Metabolic Engineering and Bioproduction
- Chemical Synthesis and Analysis
- Machine Learning in Bioinformatics
Papers in
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- Protein Structure and Dynamics 3
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- David Baker (2 shared papers)Brian Coventry (2 shared papers)Ivan V. Anishchenko (1 shared paper)Jason Z. Zhang (1 shared paper)Justas Dauparas (1 shared paper)Samuel J. Pellock (1 shared paper)Lauren P. Carter (1 shared paper)Longxing Cao (1 shared paper)
- Journals
- Implementation Science (3 papers)Nature (3 papers)Infection Control and Hospital Epidemiology (1 paper)Translational Behavioral Medicine (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesBelgiumChina
In The Last Decade
Michelle DeWitt
13 papers receiving 877 citations
Michelle DeWitt's Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 535
- Applied Microbiology and Biotechnology 9
- Radiology, Nuclear Medicine and Imaging 91
- Biotechnology 32
- Biophysics 21
Countries citing papers authored by Michelle DeWitt
This map shows the geographic impact of Michelle DeWitt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michelle DeWitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle DeWitt more than expected).
Fields of papers citing papers by Michelle DeWitt
This network shows the impact of papers produced by Michelle DeWitt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michelle DeWitt. The network helps show where Michelle DeWitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle DeWitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Design of protein-binding proteins from the target structure alone Hit paper breakdown → | 2022 | 359 |
| 2 | De novo design of luciferases using deep learning Hit paper breakdown → | 2023 | 310 |
| 3 | 2023 | 55 | |
| 4 | 2016 | 35 | |
| 5 | 2017 | 34 | |
| 6 | 2022 | 24 | |
| 7 | 2024 | 22 | |
| 8 | 2019 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2015 | 11 | |
| 12 | 2026 | 5 | |
| 13 | 2025 | 1 | |
| 14 | 2020 | 0 |
About Michelle DeWitt
Michelle DeWitt is a scholar working on Molecular Biology, Applied Microbiology and Biotechnology, Toxicology, Immunology and Physiology, having authored 14 papers that have together received 900 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Smoking Behavior and Cessation (2 papers), Immune Cell Function and Interaction (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), CAR-T cell therapy research (1 paper), Pharmacovigilance and Adverse Drug Reactions (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Spinal Dysraphism and Malformations (1 paper). The work is most often cited by research in Molecular Biology (535 citations), Applied Microbiology and Biotechnology (9 citations), Radiology, Nuclear Medicine and Imaging (91 citations), Biotechnology (32 citations) and Biophysics (21 citations). Michelle DeWitt has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include David Baker, Brian Coventry, Ivan V. Anishchenko, Jason Z. Zhang, Justas Dauparas, Samuel J. Pellock, Lauren P. Carter, Longxing Cao, Andy Hsien-Wei Yeh and Christoffer Norn. Their work appears in journals such as Implementation Science, Nature, Infection Control and Hospital Epidemiology, Translational Behavioral Medicine and Nature Biotechnology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.