Mark Hewitt

42 papers receiving 1.5k citations

Peers

Mark Hewitt
Comparison fields: 5 of 137
  • Computational Theory and Mathematics 473
  • Physiology 127
  • Health, Toxicology and Mutagenesis 355
  • Chemical Health and Safety 16
  • Pollution 198
Replace Thomas Steger‐Hartmann with:
Thomas Steger‐Hartmann Germany
Miriam N. Jacobs United Kingdom
Patricia K. Schmieder United States
Karl P. Baetcke United States
Penelope A. Fenner-Crisp United States
Christine L. Russom United States
Nynke I. Kramer Netherlands
Shulin Zhuang China
Warren Casey United States
Sharon Munn Italy
Mark Hewitt relative to Thomas Steger‐Hartmann Germany Thomas Steger‐Hartmann's profile →
Citations per field
00.5×1.5×
Thomas Steger‐Hartmann · 1×
Citations per year

Countries citing papers authored by Mark Hewitt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Hewitt Line = papers co-authored together Mark Hewitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011167
2 2008146
3 200785
4 200880
5 200979
6 200275
7 200772
8 200769
9 200868
10 201363
11 200663
12 200758
13 200953
14 200845
15 200940
16 200139
17 200938
18 201235
19 201531
20 200327

About Mark Hewitt

Mark Hewitt is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Small Animals, Molecular Biology and Organic Chemistry, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Environmental Toxicology and Ecotoxicology (8 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), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Chemistry and Chemical Engineering (3 papers). The work is most often cited by research in Computational Theory and Mathematics (473 citations), Physiology (127 citations), Health, Toxicology and Mutagenesis (355 citations), Chemical Health and Safety (16 citations) and Pollution (198 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 Matteo Incerti. Their work appears in journals such as SAR and QSAR in environmental research, Water Quality Research Journal, Journal of Chemical Information and Modeling, Alternatives to Laboratory Animals and Energy.

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.

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