Philip J. Eppard
Impact in
- Agronomy and Crop Science top 1%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Animal Science and Zoology top 5%
- Effects of Environmental Stressors on Livestock
Papers in
-
- Reproductive Physiology in Livestock 6
- Ruminant Nutrition and Digestive Physiology 5
- Genetics 3
- Genetic and phenotypic traits in livestock 2
- Animal Genetics and Reproduction 1
- Co-authors
- Dale E. Bauman (5 shared papers)M. J. DeGeeter (2 shared papers)Gregory M. Lanza (2 shared papers)Stuart N. McCutcheon (2 shared papers)Hollis N. Erb (1 shared paper)R.M. Akers (1 shared paper)Charles R. Curtis (1 shared paper)Joel Bitman (1 shared paper)
- Journals
- Journal of Dairy Science (4 papers)Crop Science (1 paper)Journal of Animal Science (1 paper)
- Partner nations
- United StatesUruguayNew Zealand
In The Last Decade
Philip J. Eppard
7 papers receiving 652 citations
Peers
Comparison fields: 5 of 52
- Agronomy and Crop Science 525
- Animal Science and Zoology 139
- Genetics 348
- Endocrinology, Diabetes and Metabolism 160
- Small Animals 27
Countries citing papers authored by Philip J. Eppard
This map shows the geographic impact of Philip J. Eppard'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 Philip J. Eppard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Eppard more than expected).
Fields of papers citing papers by Philip J. Eppard
This network shows the impact of papers produced by Philip J. Eppard. 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 Philip J. Eppard. The network helps show where Philip J. Eppard may publish in the future.
Co-authors
The 14 scholars most cited alongside Philip J. Eppard, 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 | 1985 | 295 | |
| 2 | 1985 | 125 | |
| 3 | 1985 | 96 | |
| 4 | 1985 | 68 | |
| 5 | 1987 | 65 | |
| 6 | 2005 | 61 | |
| 7 | 1995 | 4 |
About Philip J. Eppard
Philip J. Eppard is a scholar working on Agronomy and Crop Science, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Animal Science and Zoology, having authored 7 papers that have together received 714 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Genetic and phenotypic traits in livestock (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Effects of Environmental Stressors on Livestock (1 paper), Genetically Modified Organisms Research (1 paper), Animal Genetics and Reproduction (1 paper) and Insect Resistance and Genetics (1 paper). The work is most often cited by research in Agronomy and Crop Science (525 citations), Animal Science and Zoology (139 citations), Genetics (348 citations), Endocrinology, Diabetes and Metabolism (160 citations) and Small Animals (27 citations). Philip J. Eppard has collaborated with scholars based in United States, Uruguay and New Zealand. Frequent co-authors include Dale E. Bauman, M. J. DeGeeter, Gregory M. Lanza, Stuart N. McCutcheon, Hollis N. Erb, R.M. Akers, Charles R. Curtis, Joel Bitman, William A. House and Sharon A. Berberich. Their work appears in journals such as Journal of Dairy Science, Crop Science and Journal of Animal Science.
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.