Nathan Brown
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Chemical Synthesis and Analysis
- Protein Degradation and Inhibitors
- Protein Structure and Dynamics
Papers in
-
- Computational Drug Discovery Methods 41
-
- Protein Structure and Dynamics 6
- Metabolomics and Mass Spectrometry Studies 5
- Chemical Synthesis and Analysis 5
- Co-authors
- Julian Blagg (8 shared papers)Joshua Meyers (4 shared papers)Christos A. Nicolaou (2 shared papers)Edgar Jacoby (4 shared papers)Peter Ertl (4 shared papers)Swen Hoelder (4 shared papers)Stefan Knapp (2 shared papers)Lewis R. Vidler (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (12 papers)Drug Discovery Today Technologies (2 papers)Wiley Interdisciplinary Reviews Computational Molecular Science (2 papers)Molecular Informatics (2 papers)Drug Discovery Today (2 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Nathan Brown
57 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 137
- Computational Theory and Mathematics 1.4k
- Molecular Biology 1.5k
- Pharmacology 310
- Organic Chemistry 542
- Health Informatics 22
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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 205 | |
| 2 | 2021 | 172 | |
| 3 | 2010 | 165 | |
| 4 | 2021 | 137 | |
| 5 | 2004 | 133 | |
| 6 | 2013 | 130 | |
| 7 | 2006 | 123 | |
| 8 | 2013 | 123 | |
| 9 | 2011 | 114 | |
| 10 | 2012 | 103 | |
| 11 | 2013 | 101 | |
| 12 | 2016 | 93 | |
| 13 | 2018 | 86 | |
| 14 | 2002 | 76 | |
| 15 | 2005 | 72 | |
| 16 | 2007 | 60 | |
| 17 | 2014 | 59 | |
| 18 | 2009 | 57 | |
| 19 | 2012 | 43 | |
| 20 | 2015 | 41 |
About Nathan Brown
Nathan Brown is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Materials Chemistry and Spectroscopy, having authored 60 papers that have together received 2.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (41 papers), Microbial Natural Products and Biosynthesis (10 papers), Machine Learning in Materials Science (9 papers), Analytical Chemistry and Chromatography (8 papers), Protein Structure and Dynamics (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Chemical Synthesis and Analysis (5 papers) and Process Optimization and Integration (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Molecular Biology (1.5k citations), Pharmacology (310 citations), Organic Chemistry (542 citations) and Health Informatics (22 citations). Nathan Brown has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Julian Blagg, Joshua Meyers, Christos A. Nicolaou, Edgar Jacoby, Peter Ertl, Swen Hoelder, Stefan Knapp, Lewis R. Vidler, Ben McKay and Johann Gasteiger. Their work appears in journals such as Journal of Chemical Information and Modeling, Drug Discovery Today Technologies, Wiley Interdisciplinary Reviews Computational Molecular Science, Molecular Informatics and Drug Discovery Today.
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.