A.M. Day
- Agronomy and Crop Science top 0.5%
- Reproductive Physiology in Livestock 25
- Ruminant Nutrition and Digestive Physiology 9
- Milk Quality and Mastitis in Dairy Cows 2
- Small Animals top 2%
- Animal Behavior and Welfare Studies 5
- Animal health and immunology 4
- Genetics top 5%
- Genetic and phenotypic traits in livestock 16
- Equine top 5%
- Animal Science and Zoology top 5%
- Effects of Environmental Stressors on Livestock 4
-
- Reproductive Biology and Fertility 2
- Co-authors
- Macmillan KlV.K. TaufaM.W. WoolfordJohn H. WilliamsonP. J. A. CopemanK.L. MacmillanChris MorrisG. W. Asher
- Journals
- New Zealand Veterinary Journal (12 papers)Animal Reproduction Science (5 papers)New Zealand Journal of Agricultural Research (4 papers)
- Partner nations
- New ZealandFranceAustralia
In The Last Decade
A.M. Day
30 papers receiving 725 citations
Peers
Comparison fields: 5 of 57
- Agronomy and Crop Science 771
- Small Animals 144
- Genetics 485
- Equine 18
- Animal Science and Zoology 87
Countries citing papers authored by A.M. Day
This map shows the geographic impact of A.M. Day'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 A.M. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.M. Day more than expected).
Fields of papers citing papers by A.M. Day
This network shows the impact of papers produced by A.M. Day. 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 A.M. Day. The network helps show where A.M. Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A.M. Day, 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 | 2024 | 4 | |
| 2 | 2000 | 39 | |
| 3 | 1998 | 1 | |
| 4 | 1998 | 91 | |
| 5 | 1995 | 100 | |
| 6 | 1993 | 0 | |
| 7 | 1992 | 7 | |
| 8 | 1991 | 1 | |
| 9 | 1990 | 3 | |
| 10 | 1989 | 1 | |
| 11 | 1988 | 106 | |
| 12 | 1988 | 3 | |
| 13 | 1987 | 50 | |
| 14 | 1987 | 7 | |
| 15 | 1987 | 11 | |
| 16 | Ovulation results from cattle herds with high twinning frequency. | 1986 | 10 |
| 17 | Potential for genetic twinning in cattle. | 1986 | 14 |
| 18 | 1986 | 86 | |
| 19 | 1982 | 52 | |
| 20 | 1977 | 29 |
About A.M. Day
A.M. Day is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology, having authored 32 papers that have together received 840 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (25 papers), Genetic and phenotypic traits in livestock (16 papers), Ruminant Nutrition and Digestive Physiology (9 papers), Animal Behavior and Welfare Studies (5 papers), Effects of Environmental Stressors on Livestock (4 papers), Animal health and immunology (4 papers), Milk Quality and Mastitis in Dairy Cows (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Agronomy and Crop Science (771 citations), Small Animals (144 citations) and Genetics (485 citations). A.M. Day has collaborated with scholars based in New Zealand, France and Australia. Frequent co-authors include Macmillan Kl, V.K. Taufa, M.W. Woolford, John H. Williamson, P. J. A. Copeman, K.L. Macmillan, Chris Morris, G. W. Asher, Graham K. Barrell and M. Gibb. Their work appears in journals such as New Zealand Veterinary Journal, Animal Reproduction Science, New Zealand Journal of Agricultural Research, Animal Science and Theriogenology.
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.