Calistus N. Ngonghala
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 26
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research 10
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- Mathematical and Theoretical Epidemiology and Ecology Models 19
- Mosquito-borne diseases and control 9
- Malaria Research and Control 8
- Health top 5%
- Vaccine Coverage and Hesitancy 5
- Parasitology top 10%
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- Evolution and Genetic Dynamics 9
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- Mycobacterium research and diagnosis 5
- Co-authors
- Abba B. GumelEnahoro IboiMatthew H. BondsGideon A. NgwaErin A. MordecaiRuijun ZhaoMiranda I. Teboh-EwungkemSadie J. Ryan
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesSouth AfricaCameroon
In The Last Decade
Calistus N. Ngonghala
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Modeling and Simulation 717
- Infectious Diseases 539
- Public Health, Environmental and Occupational Health 808
- Health 130
- Parasitology 68
Countries citing papers authored by Calistus N. Ngonghala
This map shows the geographic impact of Calistus N. Ngonghala'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 Calistus N. Ngonghala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Calistus N. Ngonghala more than expected).
Fields of papers citing papers by Calistus N. Ngonghala
This network shows the impact of papers produced by Calistus N. Ngonghala. 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 Calistus N. Ngonghala. The network helps show where Calistus N. Ngonghala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Calistus N. Ngonghala, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 43 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 74 | |
| 12 | 2020 | 126 | |
| 13 | 2020 | 36 | |
| 14 | 2018 | 143 | |
| 15 | 2015 | 11 | |
| 16 | 2014 | 57 | |
| 17 | 2014 | 27 | |
| 18 | 2013 | 34 | |
| 19 | 2012 | 100 | |
| 20 | 2011 | 87 |
About Calistus N. Ngonghala
Calistus N. Ngonghala is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (26 papers), Mathematical and Theoretical Epidemiology and Ecology Models (19 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Mosquito-borne diseases and control (9 papers), Evolution and Genetic Dynamics (9 papers), Malaria Research and Control (8 papers), Mycobacterium research and diagnosis (5 papers) and Vaccine Coverage and Hesitancy (5 papers). The work is most often cited by research in Modeling and Simulation (717 citations), Infectious Diseases (539 citations) and Public Health, Environmental and Occupational Health (808 citations). Calistus N. Ngonghala has collaborated with scholars based in United States, South Africa and Cameroon. Frequent co-authors include Abba B. Gumel, Enahoro Iboi, Matthew H. Bonds, Gideon A. Ngwa, Erin A. Mordecai, Ruijun Zhao, Miranda I. Teboh-Ewungkem, Sadie J. Ryan, Blanka Tesla and Courtney C. Murdock. Their work appears in journals such as The Lancet, PLoS ONE and Scientific Reports.
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.