Catherine Mahony

64 total papers · 2.9k total citations
36 papers, 911 citations indexed

About

Catherine Mahony is a scholar working on Small Animals, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Catherine Mahony has authored 36 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Small Animals, 10 papers in Health, Toxicology and Mutagenesis and 9 papers in Molecular Biology. Recurrent topics in Catherine Mahony's work include Animal testing and alternatives (10 papers), Computational Drug Discovery Methods (9 papers) and Plant Toxicity and Pharmacological Properties (7 papers). Catherine Mahony is often cited by papers focused on Animal testing and alternatives (10 papers), Computational Drug Discovery Methods (9 papers) and Plant Toxicity and Pharmacological Properties (7 papers). Catherine Mahony collaborates with scholars based in United Kingdom, United States and Germany. Catherine Mahony's co-authors include Stefan Pfuhler, Cathy Lester, Elisabet Berggren, Andrew White, M Cronin, Martina Klarić, Michael Schwarz, Derek J. Knight, T.W. Schultz and George P. Daston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Pharmacology & Therapeutics and Food and Chemical Toxicology.

In The Last Decade

Catherine Mahony

35 papers receiving 877 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Catherine Mahony 285 263 253 157 144 36 911
Raja S. Settivari 300 1.1× 159 0.6× 258 1.0× 88 0.6× 46 0.3× 38 1.1k
Paul Brantom 278 1.0× 224 0.9× 335 1.3× 75 0.5× 65 0.5× 38 1.1k
Karen Blackburn 283 1.0× 224 0.9× 366 1.4× 237 1.5× 38 0.3× 32 1.1k
Peter Kasper 427 1.5× 188 0.7× 390 1.5× 69 0.4× 60 0.4× 42 1.1k
Amber K. Goetz 288 1.0× 38 0.1× 277 1.1× 84 0.5× 287 2.0× 16 986
Tewes Tralau 496 1.7× 71 0.3× 317 1.3× 64 0.4× 50 0.3× 55 1.2k
Leon H. Bruner 220 0.8× 531 2.0× 105 0.4× 134 0.9× 63 0.4× 37 1.1k
Susanne Brendler‐Schwaab 359 1.3× 169 0.6× 286 1.1× 20 0.1× 34 0.2× 23 1.1k
Laurent Bodin 212 0.7× 38 0.1× 150 0.6× 30 0.2× 395 2.7× 36 924
Freddy Van Goethem 275 1.0× 191 0.7× 203 0.8× 92 0.6× 53 0.4× 31 933

Countries citing papers authored by Catherine Mahony

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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2026