Catherine Mahony
- Molecular Biology
- Small Animals top 1%
- Health, Toxicology and Mutagenesis top 5%
- Computational Theory and Mathematics top 5%
- Pharmacology top 5%
- Co-authors
- Stefan PfuhlerCathy LesterM CroninElisabet BerggrenAndrew WhiteMartina KlarićMichael SchwarzDerek J. Knight
- Topics
- Animal testing and alternatives (10 papers)Computational Drug Discovery Methods (8 papers)Effects and risks of endocrine disrupting chemicals (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Pharmacology & TherapeuticsFood and Chemical Toxicology
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Catherine Mahony
35 papers receiving 884 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 289
- Small Animals 266
- Health, Toxicology and Mutagenesis 255
- Computational Theory and Mathematics 156
- Pharmacology 144
Countries citing papers authored by Catherine Mahony
This map shows the geographic impact of Catherine Mahony'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 Catherine Mahony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Mahony more than expected).
Fields of papers citing papers by Catherine Mahony
This network shows the impact of papers produced by Catherine Mahony. 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 Catherine Mahony. The network helps show where Catherine Mahony may publish in the future.
Co-authorship network of co-authors of Catherine Mahony
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Mahony. A scholar is included among the top collaborators of Catherine Mahony 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 Catherine Mahony. Catherine Mahony is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 32 | |
| 7 | 107 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 17 | |
| 12 | 42 | |
| 13 | 24 | |
| 14 | 18 | |
| 15 | 71 | |
| 16 | 146 | |
| 17 | 45 | |
| 18 | 12 | |
| 19 | 24 | |
| 20 | 5 |
About Catherine Mahony
Catherine Mahony is a scholar working on Small Animals, Health, Toxicology and Mutagenesis and Dermatology, having authored 36 papers that have together received 922 indexed citations. Recurring topics across this work include Animal testing and alternatives (10 papers), Computational Drug Discovery Methods (8 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). The work is most often cited by research in Chemical Health and Safety (27 citations), Small Animals (266 citations) and Health, Toxicology and Mutagenesis (255 citations). Catherine Mahony has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stefan Pfuhler, Cathy Lester, M Cronin, Elisabet Berggren, Andrew White, Martina Klarić, Michael Schwarz, Derek J. Knight, George P. Daston and Patric Amcoff. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Pharmacology & Therapeutics and Food and Chemical Toxicology.
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.