Nathan Brown
Impact in
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Computational Drug Discovery Methods 47
- Advanced Multi-Objective Optimization Algorithms 2
-
- Protein Degradation and Inhibitors 2
- Protein Kinase Regulation and GTPase Signaling 1
- Cancer therapeutics and mechanisms 1
- Biomedical Text Mining and Ontologies 1
- Co-authors
- Sarah R. Langdon (3 shared papers)Julian Blagg (8 shared papers)Peter Ertl (5 shared papers)Christos A. Nicolaou (2 shared papers)Joshua Meyers (4 shared papers)Edgar Jacoby (4 shared papers)Swen Hoelder (4 shared papers)Lewis R. Vidler (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (12 papers)Journal of Computer-Aided Molecular Design (3 papers)Journal of Medicinal Chemistry (3 papers)Drug Discovery Today Technologies (2 papers)Wiley Interdisciplinary Reviews Computational Molecular Science (2 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Nathan Brown
49 papers receiving 2.8k citations
Nathan Brown's Hit Papers
Peers
Comparison fields: 5 of 112
- Computational Theory and Mathematics 1.9k
- Health Informatics 52
- Organic Chemistry 350
- Molecular Biology 555
- Infectious Diseases 83
Countries citing papers authored by Nathan Brown
This map shows the geographic impact of Nathan Brown'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 Nathan Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Brown more than expected).
Fields of papers citing papers by Nathan Brown
This network shows the impact of papers produced by Nathan Brown. 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 Nathan Brown. The network helps show where Nathan Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Brown, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 239 | |
| 2 | De novo molecular design and generative models Hit paper breakdown → | 2021 | 206 |
| 3 | 2010 | 180 | |
| 4 | 2021 | 156 | |
| 5 | 2013 | 151 | |
| 6 | 2004 | 149 | |
| 7 | 2013 | 144 | |
| 8 | 2006 | 130 | |
| 9 | 2011 | 127 | |
| 10 | 2018 | 119 | |
| 11 | 2013 | 113 | |
| 12 | 2020 | 112 | |
| 13 | 2012 | 110 | |
| 14 | 2016 | 95 | |
| 15 | 2005 | 81 | |
| 16 | 2014 | 70 | |
| 17 | 2009 | 68 | |
| 18 | 2007 | 66 | |
| 19 | 2018 | 50 | |
| 20 | 2015 | 48 |
About Nathan Brown
Nathan Brown is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Cancer Research and Pathology and Forensic Medicine, having authored 50 papers that have together received 3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (47 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Protein Degradation and Inhibitors (2 papers), Evolutionary Algorithms and Applications (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Synthesis and biological activity (1 paper), Cancer therapeutics and mechanisms (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (1.9k citations), Health Informatics (52 citations), Organic Chemistry (350 citations), Molecular Biology (555 citations) and Infectious Diseases (83 citations). Nathan Brown has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Sarah R. Langdon, Julian Blagg, Peter Ertl, Christos A. Nicolaou, Joshua Meyers, Edgar Jacoby, Swen Hoelder, Lewis R. Vidler, Stefan Knapp and Johann Gasteiger. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computer-Aided Molecular Design, Journal of Medicinal Chemistry, Drug Discovery Today Technologies and Wiley Interdisciplinary Reviews Computational Molecular 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.