MF Pyman
- Small Animals top 2%
- Animal Behavior and Welfare Studies 11
- Animal health and immunology 9
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock 16
- Ruminant Nutrition and Digestive Physiology 8
- Animal Science and Zoology top 5%
- Effects of Environmental Stressors on Livestock 7
- Equine top 10%
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- Genetic and phenotypic traits in livestock 12
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- Agriculture and Farm Safety 5
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- Gastrointestinal disorders and treatments 3
MF Pyman
32 papers receiving 404 citations
Peers
Comparison fields: 5 of 60
- Small Animals 234
- Agronomy and Crop Science 230
- Animal Science and Zoology 128
- Equine 16
- Genetics 125
Countries citing papers authored by MF Pyman
This map shows the geographic impact of MF Pyman'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 MF Pyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MF Pyman more than expected).
Fields of papers citing papers by MF Pyman
This network shows the impact of papers produced by MF Pyman. 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 MF Pyman. The network helps show where MF Pyman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside MF Pyman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 6 | |
| 2 | 2021 | 2 | |
| 3 | Retrospective study: investigating the downer cow syndrome. | 2019 | 0 |
| 4 | 2019 | 13 | |
| 5 | 2018 | 3 | |
| 6 | How to improve our approach and outcome to recumbent dairy cows. | 2017 | 0 |
| 7 | 2016 | 2 | |
| 8 | 2016 | 38 | |
| 9 | 2016 | 73 | |
| 10 | 2016 | 9 | |
| 11 | 2016 | 15 | |
| 12 | 2016 | 4 | |
| 13 | 2015 | 8 | |
| 14 | 2015 | 4 | |
| 15 | 2013 | 44 | |
| 16 | 2013 | 7 | |
| 17 | A summary of the recent and current research that shows the contrasting "capacities" of the modern Holstein-Friesian. | 2010 | 1 |
| 18 | Economic modelling of the comparative performance of Jersey x Holstein - Friesian crossbred cows in Victorian Holstein-Friesian herds | 2008 | 1 |
| 19 | 2007 | 47 | |
| 20 | 1997 | 19 |
About MF Pyman
MF Pyman is a scholar working on Small Animals, Agronomy and Crop Science, Animal Science and Zoology, Equine and Genetics, having authored 35 papers that have together received 429 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (16 papers), Genetic and phenotypic traits in livestock (12 papers), Animal Behavior and Welfare Studies (11 papers), Animal health and immunology (9 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Effects of Environmental Stressors on Livestock (7 papers), Agriculture and Farm Safety (5 papers) and Gastrointestinal disorders and treatments (3 papers). The work is most often cited by research in Small Animals (234 citations), Agronomy and Crop Science (230 citations), Animal Science and Zoology (128 citations), Equine (16 citations) and Genetics (125 citations). MF Pyman has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Peter Mansell, DS Beggs, Andrew Fisher, W. J. Wales, Mark A. Stevenson, Bonnie A. Mallard, Joshua W. Aleri, Brad C. Hine, M.J. Auldist and K.L. Macmillan. Their work appears in journals such as Australian Veterinary Journal, Journal of Dairy Science, The Veterinary Journal, New Zealand Veterinary Journal and Agricultural Systems.
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.