C.V.C. Phyn
- Agronomy and Crop Science top 0.5%
- Reproductive Physiology in Livestock 46
- Ruminant Nutrition and Digestive Physiology 19
- Milk Quality and Mastitis in Dairy Cows 6
- Small Animals top 1%
- Animal health and immunology 12
- Animal Behavior and Welfare Studies 8
- Animal Science and Zoology top 1%
- Effects of Environmental Stressors on Livestock 11
- Genetics top 5%
- Genetic and phenotypic traits in livestock 28
- Genetic Mapping and Diversity in Plants and Animals 5
C.V.C. Phyn
54 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Agronomy and Crop Science 802
- Small Animals 342
- Animal Science and Zoology 377
- Genetics 527
- Nutrition and Dietetics 71
Countries citing papers authored by C.V.C. Phyn
This map shows the geographic impact of C.V.C. Phyn'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.V.C. Phyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.V.C. Phyn more than expected).
Fields of papers citing papers by C.V.C. Phyn
This network shows the impact of papers produced by C.V.C. Phyn. 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.V.C. Phyn. The network helps show where C.V.C. Phyn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C.V.C. Phyn, 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 | 2023 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 32 | |
| 12 | 2019 | 28 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 4 | |
| 16 | 2017 | 38 | |
| 17 | Genetic parameters of cow functional survival and correlations with predictor conformation and farmer-opinion traits with recommendations for genetic evaluation | 2017 | 1 |
| 18 | 2013 | 11 | |
| 19 | 2010 | 14 | |
| 20 | 2006 | 97 |
About C.V.C. Phyn
C.V.C. Phyn is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (46 papers), Genetic and phenotypic traits in livestock (28 papers), Ruminant Nutrition and Digestive Physiology (19 papers), Animal health and immunology (12 papers), Effects of Environmental Stressors on Livestock (11 papers), Animal Behavior and Welfare Studies (8 papers), Milk Quality and Mastitis in Dairy Cows (6 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 (802 citations), Small Animals (342 citations) and Animal Science and Zoology (377 citations). C.V.C. Phyn has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include J.R. Roche, J.K. Kay, S McDougall, Tim Carpenter, Christopher Compton, C. Heuer, Peter T. Thomsen, C.R. Burke, Sally-Anne Turner and Stephen R. Davis. Their work appears in journals such as Journal of Dairy Science, Animal Production Science, The Veterinary Journal, animal and Journal of Cellular Physiology.
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.