J. M. Ndung'u
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Parasitology top 5%
- Insect Science top 10%
- Infectious Diseases
- Co-authors
- Z. K. NjiruR.C.A. ThompsonJohnson O. OumaAndrew S. J. MikoszaJohn EnyaruEnock MatovuW. GibsonIan Robertson
- Topics
- Trypanosoma species research and implications (11 papers)Research on Leishmaniasis Studies (5 papers)Insect symbiosis and bacterial influences (2 papers)
- Partner nations
- KenyaUnited KingdomAustralia
In The Last Decade
J. M. Ndung'u
15 papers receiving 448 citations
Peers
Comparison fields: 5 of 54
- Epidemiology 345
- Public Health, Environmental and Occupational Health 233
- Parasitology 108
- Insect Science 91
- Infectious Diseases 76
Countries citing papers authored by J. M. Ndung'u
This map shows the geographic impact of J. M. Ndung'u'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 J. M. Ndung'u with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. M. Ndung'u more than expected).
Fields of papers citing papers by J. M. Ndung'u
This network shows the impact of papers produced by J. M. Ndung'u. 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 J. M. Ndung'u. The network helps show where J. M. Ndung'u may publish in the future.
Co-authorship network of co-authors of J. M. Ndung'u
This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Ndung'u. A scholar is included among the top collaborators of J. M. Ndung'u 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 J. M. Ndung'u. J. M. Ndung'u is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 178 | |
| 3 | 75 | |
| 4 | 35 | |
| 5 | 14 | |
| 6 | 68 | |
| 7 | 28 | |
| 8 | Haematological and serological changes during acute Trypanosoma evansi infection in dromedary camels (Camelus dromedarius). | 2 |
| 9 | 4 | |
| 10 | In vivo tests for the detection of resistance to trypanocidal drugs: Tests in mice and in ruminants | 2 |
| 11 | Area-wide appraisal of drug resistance in trypanosomes infecting cattle in East and Southern Africa | 12 |
| 12 | 2 | |
| 13 | 15 | |
| 14 | Treatment Failure in Camel Trypanosomosis in Uaso Region of Kenya | 2 |
| 15 | 20 |
About J. M. Ndung'u
J. M. Ndung'u is a scholar working on Horticulture, Epidemiology and Parasitology, having authored 15 papers that have together received 484 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (11 papers), Research on Leishmaniasis Studies (5 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Parasitology (108 citations), Epidemiology (345 citations) and Small Animals (67 citations). J. M. Ndung'u has collaborated with scholars based in Kenya, United Kingdom and Australia. Frequent co-authors include Z. K. Njiru, R.C.A. Thompson, Johnson O. Ouma, Andrew S. J. Mikosza, John Enyaru, Enock Matovu, W. Gibson, Ian Robertson, C.C. Constantine and Simon Reid. Their work appears in journals such as International Journal for Parasitology, Veterinary Parasitology and 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.