Kim Branson
Impact in
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- Computational Drug Discovery Methods
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
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- Artificial Intelligence in Healthcare and Education 3
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- Machine Learning in Healthcare 5
- AI in cancer detection 3
- Co-authors
- Vijay S. Pande (3 shared papers)David L. Mobley (2 shared papers)John D. Chodera (2 shared papers)Richard Dixon (1 shared paper)Michael R. Shirts (1 shared paper)Alison S. Care (1 shared paper)Aisling Ahlström (1 shared paper)Leigh R. Guerin (1 shared paper)
- Journals
- npj Digital Medicine (2 papers)Nature Biomedical Engineering (2 papers)Journal of Medicinal Chemistry (2 papers)PLoS ONE (2 papers)Journal of Computer-Aided Molecular Design (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Kim Branson
23 papers receiving 1.2k citations
Kim Branson's Hit Papers
Peers
Comparison fields: 5 of 117
- Computational Theory and Mathematics 290
- Obstetrics and Gynecology 100
- Immunology 262
- Reproductive Medicine 67
- Molecular Biology 567
Countries citing papers authored by Kim Branson
This map shows the geographic impact of Kim Branson'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 Kim Branson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Branson more than expected).
Fields of papers citing papers by Kim Branson
This network shows the impact of papers produced by Kim Branson. 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 Kim Branson. The network helps show where Kim Branson may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Branson, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Alchemical free energy methods for drug discovery: progress and challenges Hit paper breakdown → | 2011 | 486 |
| 2 | 2009 | 303 | |
| 3 | 2003 | 90 | |
| 4 | 2004 | 68 | |
| 5 | 2012 | 57 | |
| 6 | 2014 | 52 | |
| 7 | 2021 | 30 | |
| 8 | 2018 | 25 | |
| 9 | 2021 | 19 | |
| 10 | 2025 | 16 | |
| 11 | 2009 | 16 | |
| 12 | 2024 | 13 | |
| 13 | 2004 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2009 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2025 | 6 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 2 |
About Kim Branson
Kim Branson is a scholar working on Health Informatics, Artificial Intelligence, Computational Theory and Mathematics, Biophysics and Health Information Management, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Healthcare (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Cell Image Analysis Techniques (3 papers), AI in cancer detection (3 papers), Artificial Intelligence in Healthcare (2 papers), Protein Structure and Dynamics (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Computational Theory and Mathematics (290 citations), Obstetrics and Gynecology (100 citations), Immunology (262 citations), Reproductive Medicine (67 citations) and Molecular Biology (567 citations). Kim Branson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Vijay S. Pande, David L. Mobley, John D. Chodera, Richard Dixon, Michael R. Shirts, Alison S. Care, Aisling Ahlström, Leigh R. Guerin, John James Bromfield and Sarah Anne Robertson. Their work appears in journals such as npj Digital Medicine, Nature Biomedical Engineering, Journal of Medicinal Chemistry, PLoS ONE and Journal of Computer-Aided Molecular Design.
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.