Evans Atoni
Impact in
- Infectious Diseases top 5%
- Viral Infections and Vectors
- SARS-CoV-2 detection and testing
- Insect Science top 5%
- Insect symbiosis and bacterial influences
Papers in
-
- Viral Infections and Vectors 14
- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 1
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- Mosquito-borne diseases and control 15
- Malaria Research and Control 2
- Co-authors
- Zhiming Yuan (17 shared papers)Han Xia (15 shared papers)Lu Zhao (12 shared papers)Yujuan Wang (3 shared papers)Oscar Omondi Donde (2 shared papers)Paul T. Yillia (1 shared paper)Bernard Agwanda (3 shared papers)Chenyan Shi (3 shared papers)
In The Last Decade
Evans Atoni
18 papers receiving 474 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 297
- Insect Science 192
- Public Health, Environmental and Occupational Health 318
- Modeling and Simulation 25
- Parasitology 17
Countries citing papers authored by Evans Atoni
This map shows the geographic impact of Evans Atoni'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 Evans Atoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evans Atoni more than expected).
Fields of papers citing papers by Evans Atoni
This network shows the impact of papers produced by Evans Atoni. 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 Evans Atoni. The network helps show where Evans Atoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Evans Atoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2018 | 59 | |
| 3 | 2018 | 56 | |
| 4 | 2020 | 50 | |
| 5 | 2019 | 44 | |
| 6 | 2018 | 41 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 20 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2018 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2019 | 2 | |
| 18 | 2018 | 1 |
About Evans Atoni
Evans Atoni is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Insect Science, Ecology, Evolution, Behavior and Systematics and Plant Science, having authored 18 papers that have together received 480 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (15 papers), Viral Infections and Vectors (14 papers), Insect symbiosis and bacterial influences (9 papers), Vector-Borne Animal Diseases (3 papers), Malaria Research and Control (2 papers), COVID-19 Clinical Research Studies (2 papers), COVID-19 diagnosis using AI (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (297 citations), Insect Science (192 citations), Public Health, Environmental and Occupational Health (318 citations), Modeling and Simulation (25 citations) and Parasitology (17 citations). Evans Atoni has collaborated with scholars based in China, Kenya and Belgium. Frequent co-authors include Zhiming Yuan, Han Xia, Lu Zhao, Yujuan Wang, Oscar Omondi Donde, Paul T. Yillia, Bernard Agwanda, Chenyan Shi, Bo Zhang and Xiaomin Hu. Their work appears in journals such as Frontiers in Microbiology, Viruses, Scientific Data, Insects and Reviews in Medical Virology.
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.