Markus Hofmeyr
- Ecology top 2%
- Infectious Diseases top 5%
- Small Animals top 1%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Matt W. HaywardGraham I. H. KerleyJohn O’BrienGuy A. BalmePhilipp HenschelPeter BussPaul C. CrossAnita L. Michel
- Topics
- Wildlife Ecology and Conservation (14 papers)Animal Disease Management and Epidemiology (10 papers)Tuberculosis Research and Epidemiology (6 papers)
- Partner nations
- South AfricaUnited StatesBotswana
In The Last Decade
Markus Hofmeyr
44 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Ecology 1.1k
- Infectious Diseases 389
- Small Animals 369
- Genetics 352
- Ecology, Evolution, Behavior and Systematics 304
Countries citing papers authored by Markus Hofmeyr
This map shows the geographic impact of Markus Hofmeyr'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 Markus Hofmeyr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Hofmeyr more than expected).
Fields of papers citing papers by Markus Hofmeyr
This network shows the impact of papers produced by Markus Hofmeyr. 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 Markus Hofmeyr. The network helps show where Markus Hofmeyr may publish in the future.
Co-authorship network of co-authors of Markus Hofmeyr
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Hofmeyr. A scholar is included among the top collaborators of Markus Hofmeyr 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 Markus Hofmeyr. Markus Hofmeyr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 17 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 27 | |
| 7 | 12 | |
| 8 | 26 | |
| 9 | 20 | |
| 10 | 83 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | Prey preferences of the leopard (Panthera pardus)breakdown → | 471 |
| 15 | 132 | |
| 16 | 232 | |
| 17 | Integrating association data and disease dynamics in a social ungulate: Bovine tuberculosis in African buffalo in the Kruger National Park | 104 |
| 18 | 8 | |
| 19 | Rectal prolapse associated with a healed pelvic fracture in a pregnant free-ranging African black rhinoceros (Diceros bicornis). Part 2: surgery and necropsy. | 6 |
| 20 | 4 |
About Markus Hofmeyr
Markus Hofmeyr is a scholar working on Small Animals, Equine and Agronomy and Crop Science, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (14 papers), Animal Disease Management and Epidemiology (10 papers) and Tuberculosis Research and Epidemiology (6 papers). The work is most often cited by research in Small Animals (369 citations), Ecology (1.1k citations) and Ecological Modeling (133 citations). Markus Hofmeyr has collaborated with scholars based in South Africa, United States and Botswana. Frequent co-authors include Matt W. Hayward, Graham I. H. Kerley, John O’Brien, Guy A. Balme, Philipp Henschel, Peter Buss, Paul C. Cross, Anita L. Michel, R G Bengis and D. Cooper. Their work appears in journals such as PLoS ONE, Journal of Applied Ecology and Emerging infectious diseases.
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.