Robert E. Arbon
Impact in
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- Computational Drug Discovery Methods
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- Antibiotic Resistance in Bacteria
Papers in
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- Advanced Multi-Objective Optimization Algorithms 1
- Co-authors
- Christopher M. Timperley (2 shared papers)Jeff Candy (1 shared paper)Emily Belli (1 shared paper)Colin R. Willis (1 shared paper)Stuart A. Brewer (1 shared paper)David J. Sellers (1 shared paper)Michael R. Bird (1 shared paper)Antonia S. J. S. Mey (1 shared paper)
- Journals
- Science (1 paper)Plasma Physics and Controlled Fusion (1 paper)New Media & Society (1 paper)Journal of Chemical Theory and Computation (1 paper)Chemical Science (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Robert E. Arbon
11 papers receiving 257 citations
Robert E. Arbon's Hit Papers
Peers
Comparison fields: 5 of 88
- Computational Theory and Mathematics 58
- Molecular Medicine 14
- Pharmaceutical Science 11
- Surfaces, Coatings and Films 13
- Organic Chemistry 48
Countries citing papers authored by Robert E. Arbon
This map shows the geographic impact of Robert E. Arbon'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 Robert E. Arbon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Arbon more than expected).
Fields of papers citing papers by Robert E. Arbon
This network shows the impact of papers produced by Robert E. Arbon. 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 Robert E. Arbon. The network helps show where Robert E. Arbon may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert E. Arbon, 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 | Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors Hit paper breakdown → | 2023 | 118 |
| 2 | 2003 | 28 | |
| 3 | 2002 | 27 | |
| 4 | 2020 | 21 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 10 | |
| 8 | 2024 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 6 | |
| 11 | 2018 | 1 |
About Robert E. Arbon
Robert E. Arbon is a scholar working on Environmental Engineering, Computational Theory and Mathematics, Atmospheric Science, Molecular Medicine and Endocrinology, having authored 11 papers that have together received 263 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (2 papers), Protein Structure and Dynamics (2 papers), Escherichia coli research studies (1 paper), Eating Disorders and Behaviors (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Environmental Chemistry and Analysis (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper) and Flame retardant materials and properties (1 paper). The work is most often cited by research in Computational Theory and Mathematics (58 citations), Molecular Medicine (14 citations), Pharmaceutical Science (11 citations), Surfaces, Coatings and Films (13 citations) and Organic Chemistry (48 citations). Robert E. Arbon has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Christopher M. Timperley, Jeff Candy, Emily Belli, Colin R. Willis, Stuart A. Brewer, David J. Sellers, Michael R. Bird, Antonia S. J. S. Mey, Phillippa C. Diedrichs and David O. Topping. Their work appears in journals such as Science, Plasma Physics and Controlled Fusion, New Media & Society, Journal of Chemical Theory and Computation and Chemical Science.
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.