Mark Hewitt

2.1k total citations
42 papers, 1.6k citations indexed

About

Mark Hewitt is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Small Animals. According to data from OpenAlex, Mark Hewitt has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 14 papers in Health, Toxicology and Mutagenesis and 8 papers in Small Animals. Recurrent topics in Mark Hewitt's work include Computational Drug Discovery Methods (17 papers), Environmental Toxicology and Ecotoxicology (8 papers) and Animal testing and alternatives (7 papers). Mark Hewitt is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Environmental Toxicology and Ecotoxicology (8 papers) and Animal testing and alternatives (7 papers). Mark Hewitt collaborates with scholars based in United Kingdom, Canada and United States. Mark Hewitt's 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 and has published in prestigious journals such as Chemical Reviews, Environmental Science & Technology and Advanced Drug Delivery Reviews.

In The Last Decade

Mark Hewitt

42 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Hewitt United Kingdom 23 473 355 305 273 198 42 1.6k
Thomas Steger‐Hartmann Germany 23 482 1.0× 447 1.3× 68 0.2× 363 1.3× 761 3.8× 58 2.4k
Patricia K. Schmieder United States 18 530 1.1× 1.4k 4.1× 78 0.3× 474 1.7× 704 3.6× 38 2.7k
Miriam N. Jacobs United Kingdom 21 190 0.4× 710 2.0× 66 0.2× 392 1.4× 214 1.1× 55 1.7k
S. Thompson United Kingdom 16 89 0.2× 417 1.2× 202 0.7× 684 2.5× 290 1.5× 30 2.6k
Christine L. Russom United States 21 1.1k 2.3× 2.0k 5.8× 193 0.6× 600 2.2× 1.0k 5.1× 31 3.7k
Shulin Zhuang China 35 244 0.5× 1.0k 2.9× 166 0.5× 808 3.0× 512 2.6× 94 3.0k
Monika Nendza Germany 19 360 0.8× 696 2.0× 107 0.4× 199 0.7× 411 2.1× 47 1.4k
Nynke I. Kramer Netherlands 24 213 0.5× 847 2.4× 49 0.2× 286 1.0× 307 1.6× 66 1.9k
Ralf‐Uwe Ebert Germany 22 795 1.7× 601 1.7× 412 1.4× 227 0.8× 450 2.3× 35 1.9k
Warren Casey United States 30 625 1.3× 821 2.3× 90 0.3× 994 3.6× 172 0.9× 78 2.9k

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-authorship network of co-authors of Mark Hewitt

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Hewitt. A scholar is included among the top collaborators of Mark Hewitt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Hewitt. Mark Hewitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ellison, Claire M., Mark Hewitt, & Katarzyna R. Przybylak. (2022). In Silico Models for Hepatotoxicity. Methods in molecular biology. 2425. 355–392. 4 indexed citations
2.
Dearden, John C. & Mark Hewitt. (2021). Prediction of Human Lethal Doses and Concentrations of MEIC Chemicals from Rodent LD50 Values: An Attempt to Make Some Reparation. Alternatives to Laboratory Animals. 49(1-2). 10–21. 13 indexed citations
3.
Hewitt, Mark, et al.. (2021). Performance analysis for the UK's first 5th generation heat network – The BEN case study at LSBU. Energy. 243. 122843–122843. 18 indexed citations
4.
Blanar, Christopher A., Mark Hewitt, Mark E. McMaster, et al.. (2016). Parasite community similarity in Athabasca River trout-perch (Percopsis omiscomaycus) varies with local-scale land use and sediment hydrocarbons, but not distance or linear gradients. Parasitology Research. 115(10). 3853–3866. 21 indexed citations
5.
Hewitt, Mark & Katarzyna R. Przybylak. (2016). In Silico Models for Hepatotoxicity. Methods in molecular biology. 1425. 201–236. 9 indexed citations
6.
Hewitt, Mark, Claire M. Ellison, M Cronin, et al.. (2015). Ensuring confidence in predictions: A scheme to assess the scientific validity of in silico models. Advanced Drug Delivery Reviews. 86. 101–111. 12 indexed citations
7.
Yang, Longzhi, Daniel Neagu, M Cronin, et al.. (2013). Towards a Fuzzy Expert System on Toxicological Data Quality Assessment. Molecular Informatics. 32(1). 65–78. 21 indexed citations
8.
Hewitt, Mark, Steven J. Enoch, Judith C. Madden, Katarzyna R. Przybylak, & M Cronin. (2013). Hepatotoxicity: A scheme for generating chemical categories for read-across, structural alerts and insights into mechanism(s) of action. Critical Reviews in Toxicology. 43(7). 537–558. 63 indexed citations
9.
Przybylak, Katarzyna R., Judith C. Madden, M Cronin, & Mark Hewitt. (2012). Assessing toxicological data quality: basic principles, existing schemes and current limitations. SAR and QSAR in environmental research. 23(5-6). 435–459. 35 indexed citations
10.
Madden, Judith C., Mark Hewitt, Katarzyna R. Przybylak, et al.. (2012). Strategies for the optimisation of in vivo experiments in accordance with the 3Rs philosophy. Regulatory Toxicology and Pharmacology. 63(1). 140–154. 24 indexed citations
11.
Gagné, François, C. André, Mélanie Douville, et al.. (2011). An examination of the toxic properties of water extracts in the vicinity of an oil sand extraction site. Journal of Environmental Monitoring. 13(11). 3075–3075. 24 indexed citations
12.
Hewitt, Mark, Claire M. Ellison, Steven J. Enoch, Judith C. Madden, & M Cronin. (2009). Integrating (Q)SAR models, expert systems and read-across approaches for the prediction of developmental toxicity. Reproductive Toxicology. 30(1). 147–160. 53 indexed citations
13.
Hewitt, Mark, M Cronin, Steven J. Enoch, et al.. (2009). In Silico Prediction of Aqueous Solubility: The Solubility Challenge. Journal of Chemical Information and Modeling. 49(11). 2572–2587. 79 indexed citations
14.
Vonk, J. Arie, Romualdo Benigni, Mark Hewitt, et al.. (2009). The use of Mechanisms and Modes of Toxic Action in Integrated Testing Strategies: The Report and Recommendations of a Workshop held as part of the European Union OSIRIS Integrated Project. Alternatives to Laboratory Animals. 37(5). 557–571. 17 indexed citations
15.
Madden, Judith C., Steven J. Enoch, Mark Hewitt, & M Cronin. (2008). Pharmaceuticals in the environment: Good practice in predicting acute ecotoxicological effects. Toxicology Letters. 185(2). 85–101. 80 indexed citations
16.
Geronikaki, Athina, Paola Vicini, Alexey A. Lagunin, et al.. (2008). Evaluation of the local anaesthetic activity of 3-aminobenzo[d]isothiazole derivatives using the rat sciatic nerve model. European Journal of Medicinal Chemistry. 44(2). 473–481. 45 indexed citations
17.
Vicini, Paola, Athina Geronikaki, Matteo Incerti, et al.. (2008). 2-Heteroarylimino-5-benzylidene-4-thiazolidinones analogues of 2-thiazolylimino-5-benzylidene-4-thiazolidinones with antimicrobial activity: Synthesis and structure–activity relationship. Bioorganic & Medicinal Chemistry. 16(7). 3714–3724. 146 indexed citations
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Hewitt, Mark, Judith C. Madden, P.H. Rowe, & M Cronin. (2007). Structure-based modelling in reproductive toxicology: (Q)SARs for the placental barrier. SAR and QSAR in environmental research. 18(1-2). 57–76. 58 indexed citations

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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