M.A. Pass
Impact in
- Equine top 0.5%
- Veterinary Equine Medical Research
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
-
- Drug-Induced Hepatotoxicity and Protection 9
-
- Plant Toxicity and Pharmacological Properties 6
- Co-authors
- C. C. Pollitt (3 shared papers)Sandra Pollitt (3 shared papers)Roger M. Batt (1 shared paper)Rajesh Odedra (1 shared paper)K. R. French (2 shared papers)W. Majak (5 shared papers)C. C. Pollitt (1 shared paper)Alister D. Muir (3 shared papers)
- Journals
- Australian Veterinary Journal (6 papers)Journal of Veterinary Pharmacology and Therapeutics (4 papers)Toxicology Letters (4 papers)Toxicology and Applied Pharmacology (3 papers)Journal of Small Animal Practice (2 papers)
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
M.A. Pass
33 papers receiving 683 citations
Peers
Comparison fields: 5 of 83
- Equine 234
- Endocrinology 113
- Agronomy and Crop Science 183
- Small Animals 73
- Pharmacology 71
Countries citing papers authored by M.A. Pass
This map shows the geographic impact of M.A. Pass'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 M.A. Pass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Pass more than expected).
Fields of papers citing papers by M.A. Pass
This network shows the impact of papers produced by M.A. Pass. 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 M.A. Pass. The network helps show where M.A. Pass may publish in the future.
Co-authors
The 25 scholars most cited alongside M.A. Pass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 141 | |
| 2 | 1998 | 95 | |
| 3 | 1998 | 76 | |
| 4 | 2000 | 58 | |
| 5 | 1992 | 28 | |
| 6 | 2000 | 28 | |
| 7 | 1984 | 26 | |
| 8 | 1998 | 26 | |
| 9 | 1979 | 25 | |
| 10 | 1984 | 23 | |
| 11 | 1983 | 22 | |
| 12 | 1985 | 22 | |
| 13 | 1986 | 22 | |
| 14 | 1978 | 21 | |
| 15 | 1984 | 20 | |
| 16 | 1971 | 17 | |
| 17 | 1979 | 13 | |
| 18 | 1988 | 12 | |
| 19 | 1978 | 12 | |
| 20 | 1990 | 9 |
About M.A. Pass
M.A. Pass is a scholar working on Pharmacology, Molecular Biology, Oncology, Agronomy and Crop Science and Plant Science, having authored 33 papers that have together received 757 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (9 papers), Plant Toxicity and Pharmacological Properties (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Metabolism and Genetic Disorders (4 papers), Reproductive Physiology in Livestock (4 papers), Veterinary Equine Medical Research (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Veterinary Orthopedics and Neurology (2 papers). The work is most often cited by research in Equine (234 citations), Endocrinology (113 citations), Agronomy and Crop Science (183 citations), Small Animals (73 citations) and Pharmacology (71 citations). M.A. Pass has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include C. C. Pollitt, Sandra Pollitt, Roger M. Batt, Rajesh Odedra, K. R. French, W. Majak, C. C. Pollitt, Alister D. Muir, Garold S. Yost and A. A. Seawright. Their work appears in journals such as Australian Veterinary Journal, Journal of Veterinary Pharmacology and Therapeutics, Toxicology Letters, Toxicology and Applied Pharmacology and Journal of Small Animal Practice.
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.