Mark Hewitt
Impact in
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- Computational Drug Discovery Methods
- Physiology top 2%
- Reproductive biology and impacts on aquatic species
Papers in
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- Computational Drug Discovery Methods 18
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- Environmental Toxicology and Ecotoxicology 10
- Effects and risks of endocrine disrupting chemicals 6
- Co-authors
- M Cronin (18 shared papers)Judith C. Madden (14 shared papers)Steven J. Enoch (10 shared papers)John C. Dearden (8 shared papers)Katarzyna R. Przybylak (7 shared papers)T.W. Schultz (3 shared papers)David W. Roberts (3 shared papers)Athina Geronikaki (3 shared papers)
- Journals
- SAR and QSAR in environmental research (5 papers)Water Quality Research Journal (3 papers)Journal of Chemical Information and Modeling (3 papers)Energy (2 papers)Alternatives to Laboratory Animals (2 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Mark Hewitt
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 141
- Computational Theory and Mathematics 539
- Physiology 133
- Health, Toxicology and Mutagenesis 385
- Chemical Health and Safety 17
- Pollution 216
Countries citing papers authored by Mark Hewitt
This map shows the geographic impact of Mark Hewitt'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 Mark Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hewitt more than expected).
Fields of papers citing papers by Mark Hewitt
This network shows the impact of papers produced by Mark Hewitt. 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 Mark Hewitt. The network helps show where Mark Hewitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Hewitt, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 179 | |
| 2 | 2008 | 148 | |
| 3 | 2009 | 87 | |
| 4 | 2008 | 86 | |
| 5 | 2007 | 85 | |
| 6 | 2002 | 84 | |
| 7 | 2007 | 79 | |
| 8 | 2006 | 76 | |
| 9 | 2007 | 75 | |
| 10 | 2008 | 73 | |
| 11 | 2013 | 73 | |
| 12 | 2007 | 65 | |
| 13 | 2009 | 57 | |
| 14 | 2008 | 45 | |
| 15 | 2009 | 45 | |
| 16 | 2009 | 44 | |
| 17 | 2001 | 40 | |
| 18 | 2012 | 39 | |
| 19 | 2015 | 35 | |
| 20 | 2003 | 30 |
About Mark Hewitt
Mark Hewitt is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Small Animals, Molecular Biology and Pollution, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Environmental Toxicology and Ecotoxicology (10 papers), Animal testing and alternatives (7 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Reproductive biology and impacts on aquatic species (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers) and Chemistry and Chemical Engineering (3 papers). The work is most often cited by research in Computational Theory and Mathematics (539 citations), Physiology (133 citations), Health, Toxicology and Mutagenesis (385 citations), Chemical Health and Safety (17 citations) and Pollution (216 citations). Mark Hewitt has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include M Cronin, Judith C. Madden, Steven J. Enoch, John C. Dearden, Katarzyna R. Przybylak, T.W. Schultz, David W. Roberts, Athina Geronikaki, Paola Vicini and F. Zani. Their work appears in journals such as SAR and QSAR in environmental research, Water Quality Research Journal, Journal of Chemical Information and Modeling, Energy and Alternatives to Laboratory Animals.
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.