Paul Thomas

539 total citations
22 papers, 410 citations indexed

About

Paul Thomas is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Paul Thomas has authored 22 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health, Toxicology and Mutagenesis, 5 papers in Environmental Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Paul Thomas's work include Environmental Toxicology and Ecotoxicology (10 papers), Computational Drug Discovery Methods (4 papers) and Chemistry and Chemical Engineering (4 papers). Paul Thomas is often cited by papers focused on Environmental Toxicology and Ecotoxicology (10 papers), Computational Drug Discovery Methods (4 papers) and Chemistry and Chemical Engineering (4 papers). Paul Thomas collaborates with scholars based in United Kingdom, United States and France. Paul Thomas's co-authors include Dolf Van Wijk, Robert E. Bailey, David D. Pascoe, Mark A. Lampi, C.P. McCahon, Qin Xu, Michelle R. Embry, Kristin Schirmer, Scott E. Belanger and Natalie Burden and has published in prestigious journals such as Environmental Science & Technology, Water Research and Chemosphere.

In The Last Decade

Paul Thomas

20 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Thomas United Kingdom 11 239 136 89 42 40 22 410
Roger L. Breton United States 12 166 0.7× 190 1.4× 52 0.6× 58 1.4× 20 0.5× 16 358
Nathalie Dom Belgium 9 288 1.2× 174 1.3× 60 0.7× 40 1.0× 41 1.0× 10 432
Daniel Salvito United States 12 285 1.2× 353 2.6× 93 1.0× 25 0.6× 67 1.7× 21 573
Barbara R. Sheedy United States 10 247 1.0× 139 1.0× 30 0.3× 29 0.7× 21 0.5× 22 356
Joe Swintek United States 10 333 1.4× 227 1.7× 29 0.3× 38 0.9× 20 0.5× 17 492
Ángeles Rico-Rico Netherlands 8 244 1.0× 99 0.7× 70 0.8× 22 0.5× 11 0.3× 8 375
Kellie A. Fay United States 12 303 1.3× 207 1.5× 30 0.3× 42 1.0× 18 0.5× 17 419
Marilynn D. Hoglund United States 10 325 1.4× 205 1.5× 65 0.7× 56 1.3× 23 0.6× 17 517
Wei C. Qin China 11 176 0.7× 114 0.8× 51 0.6× 126 3.0× 10 0.3× 21 378
Helge Walter Germany 6 411 1.7× 340 2.5× 87 1.0× 50 1.2× 22 0.6× 6 571

Countries citing papers authored by Paul Thomas

Since Specialization
Citations

This map shows the geographic impact of Paul Thomas'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 Paul Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Thomas more than expected).

Fields of papers citing papers by Paul Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Thomas. 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 Paul Thomas. The network helps show where Paul Thomas may publish in the future.

Co-authorship network of co-authors of Paul Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Thomas. A scholar is included among the top collaborators of Paul Thomas 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 Paul Thomas. Paul Thomas 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.
Thomas, Paul, et al.. (2025). Characterizing ecotoxicological effects of a resinoid natural complex substance using experimental and in silico approaches. Environmental Toxicology and Chemistry. 45(1). 210–220.
2.
Leopold, Annegaaike, Ksenia J. Groh, Leo Posthuma, et al.. (2025). Research gaps and recommendations to improve the Safe and Sustainable by Design framework. Integrated Environmental Assessment and Management. 21(4). 735–738. 1 indexed citations
3.
Posthuma, Leo, Bruno Campos, Ksenia J. Groh, et al.. (2024). Green Swans countering chemical pollution. Integrated Environmental Assessment and Management. 20(3). 888–891. 3 indexed citations
4.
Cronin, M, Mark Bonnell, Bruno Campos, et al.. (2022). A scheme to evaluate structural alerts to predict toxicity – Assessing confidence by characterising uncertainties. Regulatory Toxicology and Pharmacology. 135. 105249–105249. 13 indexed citations
5.
Firman, James W., Geoff Hodges, Bruno Campos, et al.. (2022). Construction of an In Silico Structural Profiling Tool Facilitating Mechanistically Grounded Classification of Aquatic Toxicants. Environmental Science & Technology. 56(24). 17805–17814. 6 indexed citations
6.
Sarang, Satinder S., et al.. (2021). A simplified index to quantify the irritation/corrosion potential of chemicals – Part I: Skin. Regulatory Toxicology and Pharmacology. 123. 104922–104922. 10 indexed citations
7.
Sarang, Satinder S., et al.. (2021). A simplified index to quantify the irritation/corrosion potential of chemicals – Part II: Eye. Regulatory Toxicology and Pharmacology. 123. 104935–104935. 5 indexed citations
8.
Thomas, Paul, et al.. (2021). Aquatic Toxicity Calculation of Mixtures: A Chemical Activity Approach Incorporating a Bioavailability Reduction Concept. Environmental Science & Technology. 55(16). 11183–11191. 6 indexed citations
9.
Thomas, Paul, et al.. (2018). High-accuracy prediction of mechanisms of action using structural alerts. Computational Toxicology. 7. 36–45. 15 indexed citations
10.
Thomas, Paul, et al.. (2018). How in silico and QSAR approaches can increase confidence in environmental hazard and risk assessment. Integrated Environmental Assessment and Management. 15(1). 40–50. 22 indexed citations
11.
Thomas, Paul, et al.. (2017). A new classification algorithm based on mechanisms of action. Computational Toxicology. 5. 8–15. 13 indexed citations
12.
Lillicrap, Adam, Scott E. Belanger, Natalie Burden, et al.. (2016). Alternative approaches to vertebrate ecotoxicity tests in the 21st century: A review of developments over the last 2 decades and current status. Environmental Toxicology and Chemistry. 35(11). 2637–2646. 97 indexed citations
13.
Thomas, Paul, Mark A. Lampi, Philippe Lemaire, et al.. (2015). Application of the Activity Framework for Assessing Aquatic Ecotoxicology Data for Organic Chemicals. Environmental Science & Technology. 49(20). 12289–12296. 23 indexed citations
14.
Evans, M., Jonathan Kennedy, & Paul Thomas. (2012). Non-linear partial least squares and its application to minimising scale formation at a steel hot mill. Materials Science and Technology. 28(12). 1513–1522. 1 indexed citations
15.
16.
Bailey, Robert E., Dolf Van Wijk, & Paul Thomas. (2009). Sources and prevalence of pentachlorobenzene in the environment. Chemosphere. 75(5). 555–564. 77 indexed citations
17.
18.
Thomas, Paul, et al.. (2008). A Weight-of-Evidence (WOE) Approach for Determining Mode of Action: An Ecetoc Case Study. Integrated Environmental Assessment and Management. 4(3). 374–374. 2 indexed citations
19.
Thomas, Paul & Pramod Kumar. (2001). High tension electrical injury from a telephone receiver. Burns. 27(5). 502–503. 2 indexed citations
20.
McCahon, C.P., et al.. (1991). Lethal and sub-lethal toxicity of field simulated farm waste episodes to several freshwater invertebrate species. Water Research. 25(6). 661–671. 52 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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