Bryan Lunt
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Genetics top 10%
- Evolution and Genetic Dynamics
Papers in ⓘ
- Genetics 3
- Bacterial Genetics and Biotechnology 3
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- RNA and protein synthesis mechanisms 3
- Protein Structure and Dynamics 3
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
- DNA and Nucleic Acid Chemistry 1
- RNA Research and Splicing 1
- Co-authors
- Martin Weigt (4 shared papers)Terence Hwa (4 shared papers)Riccardo Zecchina (2 shared papers)José N. Onuchic (2 shared papers)Andrea Pagnani (1 shared paper)Faruck Morcos (2 shared papers)Debora S. Marks (2 shared papers)Chris Sander (2 shared papers)
- Journals
- Microbial Physiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Communications Biology (1 paper)Biophysical Journal (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Bryan Lunt
7 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 988
- Genetics 203
- Virology 26
- Computational Theory and Mathematics 78
- Materials Chemistry 210
Countries citing papers authored by Bryan Lunt
This map shows the geographic impact of Bryan Lunt'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 Bryan Lunt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Lunt more than expected).
Fields of papers citing papers by Bryan Lunt
This network shows the impact of papers produced by Bryan Lunt. 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 Bryan Lunt. The network helps show where Bryan Lunt may publish in the future.
Co-authors
The 18 scholars most cited alongside Bryan Lunt, 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 | Direct-coupling analysis of residue coevolution captures native contacts across many protein families Hit paper breakdown → | 2011 | 971 |
| 2 | 2011 | 69 | |
| 3 | 2010 | 35 | |
| 4 | 2014 | 9 | |
| 5 | 2012 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2020 | 1 | |
| 8 | 2024 | 0 |
About Bryan Lunt
Bryan Lunt is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Materials Chemistry and Infectious Diseases, having authored 8 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Protein Structure and Dynamics (3 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), DNA and Nucleic Acid Chemistry (1 paper), Enzyme Structure and Function (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Molecular Biology (988 citations), Genetics (203 citations), Virology (26 citations), Computational Theory and Mathematics (78 citations) and Materials Chemistry (210 citations). Bryan Lunt has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Martin Weigt, Terence Hwa, Riccardo Zecchina, José N. Onuchic, Andrea Pagnani, Faruck Morcos, Debora S. Marks, Chris Sander, Hendrik Szurmant and Andrea Procaccini. Their work appears in journals such as Microbial Physiology, Proceedings of the National Academy of Sciences, Communications Biology, Biophysical Journal and Methods in enzymology on CD-ROM/Methods in enzymology.
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.