G. K. Kanhai
- Parasitology top 1%
- Ecology, Evolution, Behavior and Systematics top 5%
- Infectious Diseases top 10%
- Immunology
- Insect Science top 10%
- Topics
- Vector-Borne Animal Diseases (25 papers)Vector-borne infectious diseases (22 papers)Viral Infections and Vectors (17 papers)
- Partner nations
- KenyaZimbabweUnited States
In The Last Decade
G. K. Kanhai
31 papers receiving 431 citations
Peers
Comparison fields: 5 of 52
- Parasitology 364
- Ecology, Evolution, Behavior and Systematics 271
- Infectious Diseases 166
- Immunology 128
- Insect Science 80
Countries citing papers authored by G. K. Kanhai
This map shows the geographic impact of G. K. Kanhai'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 G. K. Kanhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. K. Kanhai more than expected).
Fields of papers citing papers by G. K. Kanhai
This network shows the impact of papers produced by G. K. Kanhai. 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 G. K. Kanhai. The network helps show where G. K. Kanhai may publish in the future.
Co-authorship network of co-authors of G. K. Kanhai
This figure shows the co-authorship network connecting the top 25 collaborators of G. K. Kanhai. A scholar is included among the top collaborators of G. K. Kanhai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. K. Kanhai. G. K. Kanhai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | Exposure of cattle immunized with different stocks of Theileria parva to buffalo-associated Theileria challenge on two game parks in Zimbabwe. | 4 |
| 3 | Epidemiological observations of Zimbabwean theileriosis: disease incidence and pathogenicity in susceptible cattle during Rhipicephalus appendiculatus nymphal and adult seasonal activity. | 9 |
| 4 | 7 | |
| 5 | 16 | |
| 6 | 10 | |
| 7 | 31 | |
| 8 | An East Coast fever immunization field trial at Kasoba, Malawi. | 6 |
| 9 | 3 | |
| 10 | Isolation of a Theileria species from Eland (Taurotragus oryx) infective for cattle. | 15 |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 7 | |
| 14 | 39 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 2 |
About G. K. Kanhai
G. K. Kanhai is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 32 papers that have together received 501 indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (25 papers), Vector-borne infectious diseases (22 papers) and Viral Infections and Vectors (17 papers). The work is most often cited by research in Parasitology (364 citations), Ecology, Evolution, Behavior and Systematics (271 citations) and Infectious Diseases (166 citations). G. K. Kanhai has collaborated with scholars based in Kenya, Zimbabwe and United States. Frequent co-authors include D.A. Stagg, C.G.D. Brown, R.E. Purnell, R.C. Payne, A.D. Irvin, A. S. Young, T. Hove, Abdalla A. Latif, T. T. Dolan and C.G.D. Brown. Their work appears in journals such as Nature, Annals of the New York Academy of Sciences and International Journal for Parasitology.
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.