Claire M. Ellison

656 total citations
14 papers, 469 citations indexed

About

Claire M. Ellison is a scholar working on Computational Theory and Mathematics, Small Animals and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Claire M. Ellison has authored 14 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 5 papers in Small Animals and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Claire M. Ellison's work include Computational Drug Discovery Methods (12 papers), Animal testing and alternatives (5 papers) and Pesticide Exposure and Toxicity (3 papers). Claire M. Ellison is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Animal testing and alternatives (5 papers) and Pesticide Exposure and Toxicity (3 papers). Claire M. Ellison collaborates with scholars based in United Kingdom, United States and Switzerland. Claire M. Ellison's co-authors include M Cronin, Steven J. Enoch, Judith C. Madden, T.W. Schultz, Philip N. Judson, Mark Hewitt, T. Wayne Schultz, François Pognan, J. A. Muñoz and Manuel Pastor and has published in prestigious journals such as Environmental Science & Technology, Advanced Drug Delivery Reviews and Chemosphere.

In The Last Decade

Claire M. Ellison

14 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claire M. Ellison United Kingdom 11 242 158 91 77 59 14 469
Kirk Arvidson United States 11 223 0.9× 132 0.8× 98 1.1× 81 1.1× 40 0.7× 13 444
Susanne Glowienke Switzerland 16 221 0.9× 172 1.1× 136 1.5× 69 0.9× 59 1.0× 28 700
Arianna Bassan Italy 13 245 1.0× 135 0.9× 96 1.1× 71 0.9× 57 1.0× 30 501
Worth Andrew 15 152 0.6× 183 1.2× 58 0.6× 94 1.2× 65 1.1× 36 449
Steve Gutsell United Kingdom 15 255 1.1× 216 1.4× 160 1.8× 122 1.6× 61 1.0× 33 649
Jay Russell Niemelä Denmark 10 294 1.2× 186 1.2× 103 1.1× 106 1.4× 58 1.0× 16 631
Angela White United Kingdom 10 131 0.5× 97 0.6× 100 1.1× 59 0.8× 49 0.8× 22 427
Atanas Chapkanov Bulgaria 8 172 0.7× 99 0.6× 56 0.6× 70 0.9× 53 0.9× 13 328
Nadezhda Dimitrova Bulgaria 9 252 1.0× 166 1.1× 128 1.4× 34 0.4× 46 0.8× 20 570
Chanita Kuseva Bulgaria 14 262 1.1× 151 1.0× 79 0.9× 164 2.1× 104 1.8× 20 582

Countries citing papers authored by Claire M. Ellison

Since Specialization
Citations

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

Fields of papers citing papers by Claire M. Ellison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire M. Ellison. 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 Claire M. Ellison. The network helps show where Claire M. Ellison may publish in the future.

Co-authorship network of co-authors of Claire M. Ellison

This figure shows the co-authorship network connecting the top 25 collaborators of Claire M. Ellison. A scholar is included among the top collaborators of Claire M. Ellison 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 Claire M. Ellison. Claire M. Ellison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Ellison, Claire M., et al.. (2025). What’s really going on out there? Exploration of staff and student experiences of generative artificial intelligence at the University of Liverpool. Perspectives Policy and Practice in Higher Education. 1–11. 1 indexed citations
3.
Ellison, Claire M., Mark Hewitt, & Katarzyna R. Przybylak. (2022). In Silico Models for Hepatotoxicity. Methods in molecular biology. 2425. 355–392. 4 indexed citations
4.
Ellison, Claire M., et al.. (2016). Adverse Outcome Pathway (AOP) Informed Modeling of Aquatic Toxicology: QSARs, Read-Across, and Interspecies Verification of Modes of Action. Environmental Science & Technology. 50(7). 3995–4007. 31 indexed citations
5.
Ellison, Claire M., Judith C. Madden, M Cronin, & Steven J. Enoch. (2015). Investigation of the Verhaar scheme for predicting acute aquatic toxicity: Improving predictions obtained from Toxtree ver. 2.6. Chemosphere. 139. 146–154. 35 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.
Ellison, Claire M., Steven J. Enoch, & M Cronin. (2011). A review of the use ofin silicomethods to predict the chemistry of molecular initiating events related to drug toxicity. Expert Opinion on Drug Metabolism & Toxicology. 7(12). 1481–1495. 23 indexed citations
8.
Enoch, Steven J., Claire M. Ellison, T.W. Schultz, & M Cronin. (2011). A review of the electrophilic reaction chemistry involved in covalent protein binding relevant to toxicity. Critical Reviews in Toxicology. 41(9). 783–802. 158 indexed citations
9.
Ellison, Claire M., et al.. (2011). Assessment of Methods To Define the Applicability Domain of Structural Alert Models. Journal of Chemical Information and Modeling. 51(5). 975–985. 47 indexed citations
10.
Enoch, Steven J., M Cronin, & Claire M. Ellison. (2011). The Use of a Chemistry-based Profiler for Covalent DNA Binding in the Development of Chemical Categories for Read-across for Genotoxicity. Alternatives to Laboratory Animals. 39(2). 131–145. 27 indexed citations
11.
Ellison, Claire M., Judith C. Madden, Philip N. Judson, & M Cronin. (2010). Using In Silico Tools in a Weight of Evidence Approach to Aid Toxicological Assessment. Molecular Informatics. 29(1-2). 97–110. 21 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.
Ellison, Claire M., Steven J. Enoch, M Cronin, Judith C. Madden, & Philip N. Judson. (2009). Definition of the Applicability Domains of Knowledge-based Predictive Toxicology Expert Systems by Using a Structural Fragment-based Approach. Alternatives to Laboratory Animals. 37(5). 533–545. 16 indexed citations
14.
Ellison, Claire M., M Cronin, Judith C. Madden, & T. Wayne Schultz. (2008). Definition of the structural domain of the baseline non-polar narcosis model for Tetrahymena pyriformis. SAR and QSAR in environmental research. 19(7-8). 751–783. 37 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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