Catriona M. MacPhail
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Small Animals top 2%
- Hepatology top 10%
- Epidemiology
- Co-authors
- Eric MonnetHoward B. SeimMichael R. LappinDavid C. TwedtPeter ArmstrongDennis J. MeyerSteven SmithCynthia R. L. Webster
- Topics
- Veterinary Oncology Research (8 papers)Liver Disease and Transplantation (5 papers)Veterinary Medicine and Surgery (5 papers)
- Cited by
- Small AnimalsEquineHepatology
- Journals
- CirculationJournal of the American Veterinary Medical AssociationAmerican Journal of Veterinary Research
- Partner nations
- United StatesNew ZealandCanada
In The Last Decade
Catriona M. MacPhail
34 papers receiving 664 citations
Peers
Comparison fields: 5 of 86
- Surgery 319
- Pulmonary and Respiratory Medicine 311
- Small Animals 197
- Hepatology 102
- Epidemiology 96
Countries citing papers authored by Catriona M. MacPhail
This map shows the geographic impact of Catriona M. MacPhail'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 Catriona M. MacPhail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catriona M. MacPhail more than expected).
Fields of papers citing papers by Catriona M. MacPhail
This network shows the impact of papers produced by Catriona M. MacPhail. 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 Catriona M. MacPhail. The network helps show where Catriona M. MacPhail may publish in the future.
Co-authorship network of co-authors of Catriona M. MacPhail
This figure shows the co-authorship network connecting the top 25 collaborators of Catriona M. MacPhail. A scholar is included among the top collaborators of Catriona M. MacPhail 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 Catriona M. MacPhail. Catriona M. MacPhail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 9 | |
| 4 | 13 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 16 | |
| 13 | 19 | |
| 14 | 56 | |
| 15 | 66 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 17 | |
| 19 | 83 | |
| 20 | 38 |
About Catriona M. MacPhail
Catriona M. MacPhail is a scholar working on Equine, Small Animals and Hepatology, having authored 35 papers that have together received 732 indexed citations. Recurring topics across this work include Veterinary Oncology Research (8 papers), Liver Disease and Transplantation (5 papers) and Veterinary Medicine and Surgery (5 papers). The work is most often cited by research in Small Animals (197 citations), Equine (40 citations) and Hepatology (102 citations). Catriona M. MacPhail has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include Eric Monnet, Howard B. Seim, Michael R. Lappin, David C. Twedt, Peter Armstrong, Dennis J. Meyer, Steven Smith, Cynthia R. L. Webster, Simon T. Kudnig and Robert Wrigley. Their work appears in journals such as Circulation, Journal of the American Veterinary Medical Association and American Journal of Veterinary Research.
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.