Pious V. Makaya
- Agronomy and Crop Science top 5%
- Small Animals top 5%
- Food Science top 10%
- Infectious Diseases
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Davies M. PfukenyiLisa ThomannIsabelle BrodardEve MiguelŽeljko CvetnićVladimira HinićAlexandre CaronChris Foggin
- Topics
- Salmonella and Campylobacter epidemiology (8 papers)Animal Disease Management and Epidemiology (6 papers)Identification and Quantification in Food (4 papers)
- Partner nations
- ZimbabweSouth AfricaFrance
In The Last Decade
Pious V. Makaya
21 papers receiving 410 citations
Peers
Comparison fields: 5 of 54
- Agronomy and Crop Science 142
- Small Animals 128
- Food Science 114
- Infectious Diseases 111
- Ecology, Evolution, Behavior and Systematics 96
Countries citing papers authored by Pious V. Makaya
This map shows the geographic impact of Pious V. Makaya'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 Pious V. Makaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pious V. Makaya more than expected).
Fields of papers citing papers by Pious V. Makaya
This network shows the impact of papers produced by Pious V. Makaya. 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 Pious V. Makaya. The network helps show where Pious V. Makaya may publish in the future.
Co-authorship network of co-authors of Pious V. Makaya
This figure shows the co-authorship network connecting the top 25 collaborators of Pious V. Makaya. A scholar is included among the top collaborators of Pious V. Makaya 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 Pious V. Makaya. Pious V. Makaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | Seroprevalence of foot-and-mouth disease in goats from Matabeleland South Province of Zimbabwe | 2 |
| 9 | 74 | |
| 10 | 3 | |
| 11 | 83 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 7 | |
| 16 | 125 | |
| 17 | 25 | |
| 18 | 19 | |
| 19 | 9 | |
| 20 | Distribution and antibiotic resistance patterns of common mastitis pathogens (gram-positive cocci) in selected dairy herds of three dairy farming sectors in Zimbabwe | 1 |
About Pious V. Makaya
Pious V. Makaya is a scholar working on Agronomy and Crop Science, Virology and Parasitology, having authored 22 papers that have together received 422 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (8 papers), Animal Disease Management and Epidemiology (6 papers) and Identification and Quantification in Food (4 papers). The work is most often cited by research in Small Animals (128 citations), Agronomy and Crop Science (142 citations) and Virology (53 citations). Pious V. Makaya has collaborated with scholars based in Zimbabwe, South Africa and France. Frequent co-authors include Davies M. Pfukenyi, Lisa Thomann, Isabelle Brodard, Eve Miguel, Željko Cvetnić, Vladimira Hinić, Alexandre Caron, Chris Foggin, Carlos Abril and Michel De Garine-Wichatitsky. Their work appears in journals such as PLoS ONE, International Journal of Food Microbiology and Journal of Microbiological Methods.
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.