R. G. Kingwill
Impact in
- Agronomy and Crop Science top 1%
- Milk Quality and Mastitis in Dairy Cows
- Animal Disease Management and Epidemiology
- Small Animals top 2%
- Animal Behavior and Welfare Studies
Papers in
-
- Milk Quality and Mastitis in Dairy Cows 7
- Animal Disease Management and Epidemiology 1
-
- Diphtheria, Corynebacterium, and Tetanus 2
- Co-authors
- Frank K. Neave (8 shared papers)Frank H. Dodd (8 shared papers)David R. Westgarth (5 shared papers)Caroline Wilson (5 shared papers)W.O. Nelson (1 shared paper)Nirmal Mazumder (1 shared paper)J.D. Leaver (1 shared paper)Richard E. Brown (1 shared paper)
- Journals
- Journal of Dairy Science (4 papers)Veterinary Record (4 papers)Animal Science (1 paper)Journal of Dairy Research (1 paper)British Veterinary Journal (1 paper)
- Partner nations
- CanadaUnited KingdomUnited Arab Emirates
In The Last Decade
R. G. Kingwill
13 papers receiving 575 citations
Peers
Comparison fields: 5 of 61
- Agronomy and Crop Science 601
- Small Animals 172
- Microbiology 123
- Food Science 250
- Animal Science and Zoology 45
Countries citing papers authored by R. G. Kingwill
This map shows the geographic impact of R. G. Kingwill'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 R. G. Kingwill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. G. Kingwill more than expected).
Fields of papers citing papers by R. G. Kingwill
This network shows the impact of papers produced by R. G. Kingwill. 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 R. G. Kingwill. The network helps show where R. G. Kingwill may publish in the future.
Co-authors
The 9 scholars most cited alongside R. G. Kingwill, 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 | 1969 | 275 | |
| 2 | 1970 | 101 | |
| 3 | 1966 | 96 | |
| 4 | 1969 | 95 | |
| 5 | 1977 | 43 | |
| 6 | 1972 | 22 | |
| 7 | 1976 | 17 | |
| 8 | 1973 | 13 | |
| 9 | 1964 | 10 | |
| 10 | 1977 | 6 | |
| 11 | 1960 | 5 | |
| 12 | Antibiotic therapy in mastitis control. | 1970 | 3 |
| 13 | 1980 | 1 |
About R. G. Kingwill
R. G. Kingwill is a scholar working on Agronomy and Crop Science, Endocrinology, Microbiology, Cell Biology and Process Chemistry and Technology, having authored 13 papers that have together received 687 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (7 papers), Diphtheria, Corynebacterium, and Tetanus (2 papers), Genetic and phenotypic traits in livestock (2 papers), Microbial infections and disease research (2 papers), Animal Genetics and Reproduction (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Forensic Entomology and Diptera Studies (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Agronomy and Crop Science (601 citations), Small Animals (172 citations), Microbiology (123 citations), Food Science (250 citations) and Animal Science and Zoology (45 citations). R. G. Kingwill has collaborated with scholars based in Canada, United Kingdom and United Arab Emirates. Frequent co-authors include Frank K. Neave, Frank H. Dodd, David R. Westgarth, Caroline Wilson, W.O. Nelson, Nirmal Mazumder, J.D. Leaver, Richard E. Brown and R. L. Spooner. Their work appears in journals such as Journal of Dairy Science, Veterinary Record, Animal Science, Journal of Dairy Research and British Veterinary Journal.
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.