Mark Nanyingi
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Viral Infections and Vectors 7
- Viral Infections and Outbreaks Research 4
-
- Zoonotic diseases and public health 2
- Malaria Research and Control 2
- Co-authors
- Samuel M. Thumbi (5 shared papers)M. Kariuki Njenga (2 shared papers)Peninah Munyua (2 shared papers)James Mucunu Mbaria (3 shared papers)Eric Osoro (3 shared papers)Gerald Muchemi (4 shared papers)Stephen G. Kiama (3 shared papers)Bernard Bett (2 shared papers)
- Journals
- PLoS ONE (3 papers)Infection Ecology & Epidemiology (2 papers)Zoonoses and Public Health (1 paper)Journal of Ethnobiology and Ethnomedicine (1 paper)Frontiers in Veterinary Science (1 paper)
- Partner nations
- KenyaUnited StatesUnited Kingdom
In The Last Decade
Mark Nanyingi
21 papers receiving 752 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 300
- Modeling and Simulation 64
- Parasitology 59
- Forestry 34
- Agronomy and Crop Science 65
Countries citing papers authored by Mark Nanyingi
This map shows the geographic impact of Mark Nanyingi'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 Mark Nanyingi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Nanyingi more than expected).
Fields of papers citing papers by Mark Nanyingi
This network shows the impact of papers produced by Mark Nanyingi. 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 Mark Nanyingi. The network helps show where Mark Nanyingi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Nanyingi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 157 | |
| 2 | 2008 | 128 | |
| 3 | 2016 | 119 | |
| 4 | 2020 | 109 | |
| 5 | 2009 | 44 | |
| 6 | 2008 | 30 | |
| 7 | 2021 | 28 | |
| 8 | 2009 | 26 | |
| 9 | 2017 | 22 | |
| 10 | 2017 | 21 | |
| 11 | 2016 | 21 | |
| 12 | 2021 | 16 | |
| 13 | 2018 | 16 | |
| 14 | 2016 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2012 | 6 | |
| 18 | 2023 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2022 | 1 |
About Mark Nanyingi
Mark Nanyingi is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Plant Science, Ecology, Evolution, Behavior and Systematics and Food Science, having authored 24 papers that have together received 783 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), Viral Infections and Outbreaks Research (4 papers), Ethnobotanical and Medicinal Plants Studies (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Zoonotic diseases and public health (2 papers), COVID-19 epidemiological studies (2 papers), Vector-Borne Animal Diseases (2 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Infectious Diseases (300 citations), Modeling and Simulation (64 citations), Parasitology (59 citations), Forestry (34 citations) and Agronomy and Crop Science (65 citations). Mark Nanyingi has collaborated with scholars based in Kenya, United States and United Kingdom. Frequent co-authors include Samuel M. Thumbi, M. Kariuki Njenga, Peninah Munyua, James Mucunu Mbaria, Eric Osoro, Gerald Muchemi, Stephen G. Kiama, Bernard Bett, William Ogara and Austine Bitek. Their work appears in journals such as PLoS ONE, Infection Ecology & Epidemiology, Zoonoses and Public Health, Journal of Ethnobiology and Ethnomedicine and Frontiers in Veterinary Science.
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.