A.R. Bradley
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Protein Degradation and Inhibitors
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
Papers in
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- Protein Structure and Dynamics 10
- Protein Degradation and Inhibitors 4
- Ubiquitin and proteasome pathways 2
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- Computational Drug Discovery Methods 14
- Co-authors
- Charlotte M. Deane (10 shared papers)Fergus Imrie (5 shared papers)José M. Duarte (5 shared papers)Yana Valasatava (5 shared papers)Peter W. Rose (5 shared papers)Andreas Prlić (5 shared papers)Alexander Rose (4 shared papers)Mihaela van der Schaar (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (7 papers)Chemical Science (2 papers)Bioinformatics (2 papers)PLoS Computational Biology (2 papers)Nature Communications (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
A.R. Bradley
29 papers receiving 1.3k citations
A.R. Bradley's Hit Papers
Peers
Comparison fields: 5 of 121
- Computational Theory and Mathematics 508
- Molecular Biology 913
- Structural Biology 16
- Materials Chemistry 389
- Biophysics 32
Countries citing papers authored by A.R. Bradley
This map shows the geographic impact of A.R. Bradley'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 A.R. Bradley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.R. Bradley more than expected).
Fields of papers citing papers by A.R. Bradley
This network shows the impact of papers produced by A.R. Bradley. 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 A.R. Bradley. The network helps show where A.R. Bradley may publish in the future.
Co-authors
The 25 scholars most cited alongside A.R. Bradley, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NGL viewer: web-based molecular graphics for large complexes Hit paper breakdown → | 2018 | 378 |
| 2 | 2017 | 182 | |
| 3 | 2020 | 169 | |
| 4 | 2015 | 103 | |
| 5 | 2018 | 94 | |
| 6 | 2021 | 67 | |
| 7 | 2016 | 58 | |
| 8 | 2021 | 55 | |
| 9 | 2004 | 49 | |
| 10 | 2017 | 30 | |
| 11 | 2023 | 29 | |
| 12 | 2019 | 29 | |
| 13 | 2017 | 20 | |
| 14 | 2020 | 15 | |
| 15 | 2017 | 12 | |
| 16 | 2017 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 8 | |
| 19 | 2014 | 7 | |
| 20 | 2015 | 7 |
About A.R. Bradley
A.R. Bradley is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Pharmacology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (10 papers), Protein Degradation and Inhibitors (4 papers), Machine Learning in Materials Science (4 papers), Click Chemistry and Applications (3 papers), Enzyme Structure and Function (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Computational Theory and Mathematics (508 citations), Molecular Biology (913 citations), Structural Biology (16 citations), Materials Chemistry (389 citations) and Biophysics (32 citations). A.R. Bradley has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Charlotte M. Deane, Fergus Imrie, José M. Duarte, Yana Valasatava, Peter W. Rose, Andreas Prlić, Alexander Rose, Mihaela van der Schaar, Brian D. Marsden and F. von Delft. Their work appears in journals such as Journal of Chemical Information and Modeling, Chemical Science, Bioinformatics, PLoS Computational Biology and Nature Communications.
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.