C.R. Burke
Impact in
- Agronomy and Crop Science top 0.2%
- Reproductive Physiology in Livestock
- Ruminant Nutrition and Digestive Physiology
- Small Animals top 1%
- Animal health and immunology
Papers in
-
- Reproductive Physiology in Livestock 58
- Ruminant Nutrition and Digestive Physiology 22
- Genetics 40
- Genetic and phenotypic traits in livestock 40
- Genetic Mapping and Diversity in Plants and Animals 5
- Co-authors
- J.R. RocheS. MeierMurray D. MitchellS McDougallK.A. MacdonaldD.P. BerryJ.K. KayC.V.C. Phyn
- Journals
- Journal of Dairy Science (38 papers)New Zealand Veterinary Journal (4 papers)Theriogenology (3 papers)Journal of Animal Science (3 papers)Scientific Reports (1 paper)
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
C.R. Burke
65 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 88
- Agronomy and Crop Science 1.3k
- Small Animals 258
- Animal Science and Zoology 352
- Genetics 864
- Equine 19
Countries citing papers authored by C.R. Burke
This map shows the geographic impact of C.R. Burke'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.R. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.R. Burke more than expected).
Fields of papers citing papers by C.R. Burke
This network shows the impact of papers produced by C.R. Burke. 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.R. Burke. The network helps show where C.R. Burke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C.R. Burke, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 13 | |
| 12 | Genetic parameters of immune response estimated using genetically divergent lines of Holstein-Friesian dairy heifers | 2018 | 1 |
| 13 | 2018 | 24 | |
| 14 | 2016 | 24 | |
| 15 | 2015 | 35 | |
| 16 | 2012 | 3 | |
| 17 | 2012 | 7 | |
| 18 | 2010 | 14 | |
| 19 | 2007 | 259 | |
| 20 | 2007 | 35 |
About C.R. Burke
C.R. Burke is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Small Animals and Reproductive Medicine, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (58 papers), Genetic and phenotypic traits in livestock (40 papers), Ruminant Nutrition and Digestive Physiology (22 papers), Reproductive System and Pregnancy (12 papers), Effects of Environmental Stressors on Livestock (12 papers), Extracellular vesicles in disease (5 papers), Reproductive Biology and Fertility (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Agronomy and Crop Science (1.3k citations), Small Animals (258 citations), Animal Science and Zoology (352 citations), Genetics (864 citations) and Equine (19 citations). C.R. Burke has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include J.R. Roche, S. Meier, Murray D. Mitchell, S McDougall, K.A. Macdonald, D.P. Berry, J.K. Kay, C.V.C. Phyn, Caroline Walker and Axel Heiser. Their work appears in journals such as Journal of Dairy Science, New Zealand Veterinary Journal, Theriogenology, Journal of Animal Science and Scientific Reports.
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.