John Moult
Impact in
- Molecular Biology top 0.2%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 121
- Bioinformatics and Genomic Networks 4
- Genetics 34
- Genomics and Rare Diseases 26
- Genetic Associations and Epidemiology 10
- Co-authors
- Krzysztof A. Fidelis (40 shared papers)Andriy Kryshtafovych (26 shared papers)Ron Unger (16 shared papers)Osnat Herzberg (18 shared papers)Anna Luna Tramontano (12 shared papers)Peng Yue (3 shared papers)Torsten F. Schwede (10 shared papers)Eugene Melamud (6 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (69 papers)Human Mutation (19 papers)Journal of Molecular Biology (16 papers)Biochemistry (9 papers)Current Opinion in Structural Biology (6 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
John Moult
191 papers receiving 14.8k citations
John Moult's Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 10.9k
- Computational Theory and Mathematics 983
- Genetics 1.5k
- Molecular Medicine 302
- Structural Biology 66
Countries citing papers authored by John Moult
This map shows the geographic impact of John Moult'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 John Moult with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Moult more than expected).
Fields of papers citing papers by John Moult
This network shows the impact of papers produced by John Moult. 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 John Moult. The network helps show where John Moult may publish in the future.
Co-authors
The 25 scholars most cited alongside John Moult, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 582 | |
| 2 | 2003 | 577 | |
| 3 | 2013 | 487 | |
| 4 | 2005 | 480 | |
| 5 | 1995 | 424 | |
| 6 | 2005 | 418 | |
| 7 | 1993 | 415 | |
| 8 | 2005 | 387 | |
| 9 | 2006 | 383 | |
| 10 | 2019 | 382 | |
| 11 | Critical assessment of methods of protein structure prediction (CASP)—Round XIV Hit paper breakdown → | 2021 | 357 |
| 12 | 1987 | 325 | |
| 13 | 2001 | 290 | |
| 14 | 1986 | 286 | |
| 15 | 2007 | 274 | |
| 16 | 2017 | 258 | |
| 17 | 2009 | 251 | |
| 18 | 1999 | 247 | |
| 19 | 1986 | 227 | |
| 20 | 2005 | 223 |
About John Moult
John Moult is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Computational Theory and Mathematics and Molecular Medicine, having authored 192 papers that have together received 15.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (121 papers), Genomics and Rare Diseases (26 papers), Enzyme Structure and Function (22 papers), Genetic Associations and Epidemiology (10 papers), Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Advanced Chemical Physics Studies (3 papers). The work is most often cited by research in Molecular Biology (10.9k citations), Computational Theory and Mathematics (983 citations), Genetics (1.5k citations), Molecular Medicine (302 citations) and Structural Biology (66 citations). John Moult has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Krzysztof A. Fidelis, Andriy Kryshtafovych, Ron Unger, Osnat Herzberg, Anna Luna Tramontano, Peng Yue, Torsten F. Schwede, Eugene Melamud, Jan T. Pedersen and Zhen Wang. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Human Mutation, Journal of Molecular Biology, Biochemistry and Current Opinion in Structural 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.