C. K. Boyd
Impact in
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 6
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- Reproductive Physiology in Livestock 5
- Co-authors
- M.C. Lucy (8 shared papers)Christina Bracken (3 shared papers)Yasuhiro Kobayashi (3 shared papers)W. R. Lamberson (1 shared paper)D. H. Keisler (1 shared paper)Carol S. Okamura (1 shared paper)R.J. Collier (2 shared papers)Gary S. Johnson (1 shared paper)
- Journals
- Domestic Animal Endocrinology (2 papers)Journal of Animal Science (2 papers)Journal of Dairy Science (2 papers)Endocrinology (1 paper)Journal of Molecular Endocrinology (1 paper)
- Partner nations
- United States
In The Last Decade
C. K. Boyd
11 papers receiving 388 citations
Peers
Comparison fields: 5 of 38
- Agronomy and Crop Science 233
- Endocrinology, Diabetes and Metabolism 212
- Small Animals 74
- Genetics 165
- Animal Science and Zoology 56
Countries citing papers authored by C. K. Boyd
This map shows the geographic impact of C. K. Boyd'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 C. K. Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. K. Boyd more than expected).
Fields of papers citing papers by C. K. Boyd
This network shows the impact of papers produced by C. K. Boyd. 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 C. K. Boyd. The network helps show where C. K. Boyd may publish in the future.
Co-authors
The 18 scholars most cited alongside C. K. Boyd, 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 | 1999 | 106 | |
| 2 | Ovarian follicular growth in sows. | 2001 | 94 |
| 3 | 1998 | 54 | |
| 4 | 1998 | 30 | |
| 5 | 1999 | 26 | |
| 6 | 1996 | 26 | |
| 7 | 2002 | 24 | |
| 8 | 2000 | 22 | |
| 9 | 1995 | 21 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 1 |
About C. K. Boyd
C. K. Boyd is a scholar working on Endocrinology, Diabetes and Metabolism, Agronomy and Crop Science, Genetics, Small Animals and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 405 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Reproductive Physiology in Livestock (5 papers), Genetic and phenotypic traits in livestock (3 papers), Animal Behavior and Welfare Studies (2 papers), Birth, Development, and Health (2 papers), Cancer-related molecular mechanisms research (2 papers), Effects of Environmental Stressors on Livestock (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Agronomy and Crop Science (233 citations), Endocrinology, Diabetes and Metabolism (212 citations), Small Animals (74 citations), Genetics (165 citations) and Animal Science and Zoology (56 citations). C. K. Boyd has collaborated with scholars based in United States. Frequent co-authors include M.C. Lucy, Christina Bracken, Yasuhiro Kobayashi, W. R. Lamberson, D. H. Keisler, Carol S. Okamura, R.J. Collier, Gary S. Johnson, H. Shibuya and William O. Herring. Their work appears in journals such as Domestic Animal Endocrinology, Journal of Animal Science, Journal of Dairy Science, Endocrinology and Journal of Molecular 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.