Nathan Rollins
Impact in
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 3
- Protein Structure and Dynamics 3
- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
- Steroid Chemistry and Biochemistry 1
- Biochemical and Molecular Research 1
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- Pharmacogenetics and Drug Metabolism 2
- Co-authors
- Debora S. Marks (7 shared papers)Chris Sander (2 shared papers)Pascal Notin (1 shared paper)Yarin Gal (1 shared paper)Kelly P. Brock (2 shared papers)Frank J. Poelwijk (1 shared paper)Michael A. Stiffler (1 shared paper)Nicholas P. Gauthier (1 shared paper)
- Journals
- Scientific Reports (1 paper)Nature Genetics (1 paper)Nature Communications (1 paper)Proteins Structure Function and Bioinformatics (1 paper)ChemBioChem (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Nathan Rollins
11 papers receiving 338 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Molecular Biology 276
- Genetics 70
- Biotechnology 18
- Pharmacology 12
- Radiology, Nuclear Medicine and Imaging 31
Countries citing papers authored by Nathan Rollins
This map shows the geographic impact of Nathan Rollins'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 Nathan Rollins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Rollins more than expected).
Fields of papers citing papers by Nathan Rollins
This network shows the impact of papers produced by Nathan Rollins. 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 Nathan Rollins. The network helps show where Nathan Rollins may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Rollins, 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 | Machine learning for functional protein design Hit paper breakdown → | 2024 | 118 |
| 2 | 2019 | 91 | |
| 3 | 2020 | 55 | |
| 4 | 2021 | 29 | |
| 5 | 2024 | 17 | |
| 6 | 2018 | 14 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 4 | |
| 9 | 2024 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2018 | 1 |
About Nathan Rollins
Nathan Rollins is a scholar working on Molecular Biology, Pharmacology, Immunology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 11 papers that have together received 345 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Protein Structure and Dynamics (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper), interferon and immune responses (1 paper), Steroid Chemistry and Biochemistry (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Molecular Biology (276 citations), Genetics (70 citations), Biotechnology (18 citations), Pharmacology (12 citations) and Radiology, Nuclear Medicine and Imaging (31 citations). Nathan Rollins has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Debora S. Marks, Chris Sander, Pascal Notin, Yarin Gal, Kelly P. Brock, Frank J. Poelwijk, Michael A. Stiffler, Nicholas P. Gauthier, Pamela A. Silver and Tobias W. Giessen. Their work appears in journals such as Scientific Reports, Nature Genetics, Nature Communications, Proteins Structure Function and Bioinformatics and ChemBioChem.
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.