M. L. Day
Impact in
- Agronomy and Crop Science top 0.05%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Animal Science and Zoology top 0.5%
- Effects of Environmental Stressors on Livestock
Papers in
-
- Reproductive Physiology in Livestock 98
- Ruminant Nutrition and Digestive Physiology 29
- Genetics 74
- Genetic and phenotypic traits in livestock 71
- Co-authors
- J. E. KinderM. L. MussardKazuhiko ImakawaL.H. AndersonChristopher R. BurkeG. A. BridgesD.E. GrumC. L. Gasser
- Journals
- Journal of Animal Science (45 papers)Theriogenology (22 papers)Biology of Reproduction (12 papers)Animal Reproduction Science (9 papers)Domestic Animal Endocrinology (7 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
M. L. Day
129 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 123
- Agronomy and Crop Science 3.1k
- Animal Science and Zoology 1.1k
- Genetics 2.7k
- Small Animals 265
- Reproductive Medicine 270
Countries citing papers authored by M. L. Day
This map shows the geographic impact of M. L. 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 M. L. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. L. Day more than expected).
Fields of papers citing papers by M. L. Day
This network shows the impact of papers produced by M. L. 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 M. L. Day. The network helps show where M. L. Day may publish in the future.
Co-authors
The 25 scholars most cited alongside M. L. 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 | 2018 | 32 | |
| 2 | 2017 | 2 | |
| 3 | State of the art of GnRH - based timed AI in beef cattle | 2015 | 16 |
| 4 | 2013 | 30 | |
| 5 | 2012 | 47 | |
| 6 | 2012 | 3 | |
| 7 | 2010 | 60 | |
| 8 | 2006 | 9 | |
| 9 | 2005 | 14 | |
| 10 | 2004 | 12 | |
| 11 | 2003 | 60 | |
| 12 | 2001 | 26 | |
| 13 | 1998 | 5 | |
| 14 | 1998 | 23 | |
| 15 | 1998 | 35 | |
| 16 | 1991 | 4 | |
| 17 | 1990 | 13 | |
| 18 | 1990 | 11 | |
| 19 | 1990 | 25 | |
| 20 | 1988 | 52 |
About M. L. Day
M. L. Day is a scholar working on Agronomy and Crop Science, Genetics, Small Animals, Animal Science and Zoology and Reproductive Medicine, having authored 132 papers that have together received 3.9k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (98 papers), Genetic and phenotypic traits in livestock (71 papers), Ruminant Nutrition and Digestive Physiology (29 papers), Effects of Environmental Stressors on Livestock (22 papers), Animal Behavior and Welfare Studies (16 papers), Reproductive Biology and Fertility (13 papers), Cellular and Composite Structures (9 papers) and Sperm and Testicular Function (5 papers). The work is most often cited by research in Agronomy and Crop Science (3.1k citations), Animal Science and Zoology (1.1k citations), Genetics (2.7k citations), Small Animals (265 citations) and Reproductive Medicine (270 citations). M. L. Day has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include J. E. Kinder, M. L. Mussard, Kazuhiko Imakawa, L.H. Anderson, Christopher R. Burke, G. A. Bridges, D.E. Grum, C. L. Gasser, D. D. Zalesky and R. J. Kittok. Their work appears in journals such as Journal of Animal Science, Theriogenology, Biology of Reproduction, Animal Reproduction Science and Domestic Animal Endocrinology.
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.