Nathaniel R. Bennett
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
- Chemical Synthesis and Analysis
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- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 5
- Photosynthetic Processes and Mechanisms 1
- Glycosylation and Glycoproteins Research 1
- Microbial Metabolic Engineering and Bioproduction 1
- Machine Learning in Bioinformatics 1
- vaccines and immunoinformatics approaches 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Dionne K. Vafeados (1 shared paper)Savvas N. Savvides (1 shared paper)Aza Allen (1 shared paper)Minkyung Baek (1 shared paper)Justas Dauparas (1 shared paper)David Baker (1 shared paper)Frank DiMaio (1 shared paper)Inna Goreshnik (1 shared paper)
- Journals
- Nature (5 papers)Science (2 papers)Nature Communications (1 paper)Biotechnology and Bioengineering (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesDenmarkBelgium
In The Last Decade
Nathaniel R. Bennett
10 papers receiving 3.2k citations
Nathaniel R. Bennett's Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 2.2k
- Radiology, Nuclear Medicine and Imaging 389
- Computational Theory and Mathematics 289
- Structural Biology 22
- Biotechnology 112
Countries citing papers authored by Nathaniel R. Bennett
This map shows the geographic impact of Nathaniel R. Bennett'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 Nathaniel R. Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel R. Bennett more than expected).
Fields of papers citing papers by Nathaniel R. Bennett
This network shows the impact of papers produced by Nathaniel R. Bennett. 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 Nathaniel R. Bennett. The network helps show where Nathaniel R. Bennett may publish in the future.
Co-authors
The 20 scholars most cited alongside Nathaniel R. Bennett, 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 | De novo design of protein structure and function with RFdiffusion Hit paper breakdown → | 2023 | 1135 |
| 2 | Robust deep learning–based protein sequence design using ProteinMPNN Hit paper breakdown → | 2022 | 1032 |
| 3 | Design of protein-binding proteins from the target structure alone Hit paper breakdown → | 2022 | 359 |
| 4 | Scaffolding protein functional sites using deep learning Hit paper breakdown → | 2022 | 293 |
| 5 | Improving de novo protein binder design with deep learning Hit paper breakdown → | 2023 | 209 |
| 6 | De novo design of high-affinity binders of bioactive helical peptides Hit paper breakdown → | 2023 | 153 |
| 7 | Designed endocytosis-inducing proteins degrade targets and amplify signals Hit paper breakdown → | 2024 | 88 |
| 8 | 2016 | 30 | |
| 9 | 2018 | 28 | |
| 10 | Atomically accurate de novo design of antibodies with RFdiffusion Hit paper breakdown → | 2025 | 27 |
About Nathaniel R. Bennett
Nathaniel R. Bennett is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biotechnology, Cell Biology and Renewable Energy, Sustainability and the Environment, having authored 10 papers that have together received 3.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Photosynthetic Processes and Mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Machine Learning in Bioinformatics (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Molecular Biology (2.2k citations), Radiology, Nuclear Medicine and Imaging (389 citations), Computational Theory and Mathematics (289 citations), Structural Biology (22 citations) and Biotechnology (112 citations). Nathaniel R. Bennett has collaborated with scholars based in United States, Denmark and Belgium. Frequent co-authors include Dionne K. Vafeados, Savvas N. Savvides, Aza Allen, Minkyung Baek, Justas Dauparas, David Baker, Frank DiMaio, Inna Goreshnik, Lance J. Stewart and Brian Coventry. Their work appears in journals such as Nature, Science, Nature Communications, Biotechnology and Bioengineering and ACS Synthetic Biology.
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.