Simon A. Bray
Impact in
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- Scientific Computing and Data Management
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- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Protein Structure and Dynamics
- Epigenetics and DNA Methylation
Papers in
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- Scientific Computing and Data Management 4
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- Computational Drug Discovery Methods 5
- Co-authors
- Björn Andreas Grüning (6 shared papers)Anup Kumar (2 shared papers)Christopher B. Barnett (2 shared papers)Xavier Lucas (1 shared paper)Steffen Wolf (2 shared papers)Kevin J. Naidoo (1 shared paper)Allison Creason (1 shared paper)Jeremy Goecks (1 shared paper)
- Journals
- Journal of Cheminformatics (3 papers)Biophysical Journal (1 paper)Nature Biotechnology (1 paper)Nucleic Acids Research (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- GermanySouth AfricaUnited States
In The Last Decade
Simon A. Bray
9 papers receiving 866 citations
Simon A. Bray's Hit Papers
Peers
Comparison fields: 5 of 101
- Information Systems and Management 52
- Molecular Biology 320
- Endocrinology 18
- Computational Theory and Mathematics 71
- Molecular Medicine 27
Countries citing papers authored by Simon A. Bray
This map shows the geographic impact of Simon A. Bray'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 Simon A. Bray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon A. Bray more than expected).
Fields of papers citing papers by Simon A. Bray
This network shows the impact of papers produced by Simon A. Bray. 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 Simon A. Bray. The network helps show where Simon A. Bray may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon A. Bray, 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 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update Hit paper breakdown → | 2022 | 761 |
| 2 | 2020 | 33 | |
| 3 | 2020 | 24 | |
| 4 | 2019 | 17 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 13 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 1 |
About Simon A. Bray
Simon A. Bray is a scholar working on Information Systems and Management, Computational Theory and Mathematics, Molecular Biology, Infectious Diseases and Nuclear Energy and Engineering, having authored 9 papers that have together received 883 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (4 papers), Scientific Computing and Data Management (4 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Information Systems and Management (52 citations), Molecular Biology (320 citations), Endocrinology (18 citations), Computational Theory and Mathematics (71 citations) and Molecular Medicine (27 citations). Simon A. Bray has collaborated with scholars based in Germany, South Africa and United States. Frequent co-authors include Björn Andreas Grüning, Anup Kumar, Christopher B. Barnett, Xavier Lucas, Steffen Wolf, Kevin J. Naidoo, Allison Creason, Jeremy Goecks, Alireza Khanteymoori and Vahid Jalili. Their work appears in journals such as Journal of Cheminformatics, Biophysical Journal, Nature Biotechnology, Nucleic Acids Research and Journal of Chemical Information and Modeling.
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.