T. Hove
- Parasitology top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Infectious Diseases top 10%
- Small Animals top 5%
- Animal Science and Zoology top 10%
- Co-authors
- Samson MukaratirwaAbdalla A. LatifA. PerminPeter LindG. K. KanhaiJ. P. DubeyChris FogginPious V. Makaya
- Topics
- Vector-borne infectious diseases (13 papers)Vector-Borne Animal Diseases (12 papers)Viral Infections and Vectors (10 papers)
- Partner nations
- ZimbabweSouth AfricaKenya
In The Last Decade
T. Hove
23 papers receiving 416 citations
Peers
Comparison fields: 5 of 46
- Parasitology 315
- Ecology, Evolution, Behavior and Systematics 149
- Infectious Diseases 135
- Small Animals 84
- Animal Science and Zoology 84
Countries citing papers authored by T. Hove
This map shows the geographic impact of T. Hove'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 T. Hove with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hove more than expected).
Fields of papers citing papers by T. Hove
This network shows the impact of papers produced by T. Hove. 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 T. Hove. The network helps show where T. Hove may publish in the future.
Co-authorship network of co-authors of T. Hove
This figure shows the co-authorship network connecting the top 25 collaborators of T. Hove. A scholar is included among the top collaborators of T. Hove 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 T. Hove. T. Hove is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Indigenous and scientific knowledge regarding ticks and tick-borne diseases in wildlife-livestock interface areas in Zimbabwe. [017] | 1 |
| 2 | 74 | |
| 3 | 10 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 32 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 29 | |
| 10 | Detection of antibodies to the Ehrlichia ruminantium MAP1-B antigen in goat sera from three communal land areas of Zimbabwe by an indirect enzyme-linked immunosorbent assay. | 13 |
| 11 | 91 | |
| 12 | 18 | |
| 13 | Exposure of cattle immunized with different stocks of Theileria parva to buffalo-associated Theileria challenge on two game parks in Zimbabwe. | 4 |
| 14 | Epidemiological observations of Zimbabwean theileriosis: disease incidence and pathogenicity in susceptible cattle during Rhipicephalus appendiculatus nymphal and adult seasonal activity. | 9 |
| 15 | 19 | |
| 16 | 12 | |
| 17 | 7 | |
| 18 | 16 | |
| 19 | 10 | |
| 20 | 31 |
About T. Hove
T. Hove is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics and Small Animals, having authored 23 papers that have together received 456 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (13 papers), Vector-Borne Animal Diseases (12 papers) and Viral Infections and Vectors (10 papers). The work is most often cited by research in Parasitology (315 citations), Small Animals (84 citations) and Animal Science and Zoology (84 citations). T. Hove has collaborated with scholars based in Zimbabwe, South Africa and Kenya. Frequent co-authors include Samson Mukaratirwa, Abdalla A. Latif, A. Permin, Peter Lind, G. K. Kanhai, J. P. Dubey, Chris Foggin, Pious V. Makaya, Davies M. Pfukenyi and Eve Miguel. Their work appears in journals such as Annals of the New York Academy of Sciences, Parasitology and Journal of 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.