Claire M. Ellison
- Computational Theory and Mathematics top 2%
- Health, Toxicology and Mutagenesis top 5%
- Molecular Biology
- Small Animals top 5%
- Plant Science
- Co-authors
- M CroninSteven J. EnochJudith C. MaddenT.W. SchultzPhilip N. JudsonMark HewittT. Wayne SchultzManuel Pastor
- Topics
- Computational Drug Discovery Methods (12 papers)Animal testing and alternatives (5 papers)Pesticide Exposure and Toxicity (3 papers)
- Cited by
- Computational Theory and MathematicsChemical Health and SafetyHealth, Toxicology and Mutagenesis
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Claire M. Ellison
14 papers receiving 450 citations
Peers
Comparison fields: 5 of 81
- Computational Theory and Mathematics 242
- Health, Toxicology and Mutagenesis 158
- Molecular Biology 91
- Small Animals 77
- Plant Science 59
Countries citing papers authored by Claire M. Ellison
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 31 | |
| 5 | 35 | |
| 6 | 12 | |
| 7 | 23 | |
| 8 | 158 | |
| 9 | 47 | |
| 10 | 27 | |
| 11 | 21 | |
| 12 | 53 | |
| 13 | 16 | |
| 14 | 37 |
About Claire M. Ellison
Claire M. Ellison is a scholar working on Chemical Health and Safety, Computational Theory and Mathematics and Health Informatics, having authored 14 papers that have together received 469 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Animal testing and alternatives (5 papers) and Pesticide Exposure and Toxicity (3 papers). The work is most often cited by research in Computational Theory and Mathematics (242 citations), Chemical Health and Safety (10 citations) and Health, Toxicology and Mutagenesis (158 citations). Claire M. Ellison has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include M Cronin, Steven J. Enoch, Judith C. Madden, T.W. Schultz, Philip N. Judson, Mark Hewitt, T. Wayne Schultz, Manuel Pastor, Thomas Steger‐Hartmann and J. A. Muñoz. Their work appears in journals such as Environmental Science & Technology, Advanced Drug Delivery Reviews and Chemosphere.
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.