Calistus N. Ngonghala
- Public Health, Environmental and Occupational Health top 2%
- Modeling and Simulation top 0.2%
- Infectious Diseases top 5%
- Genetics top 10%
- Economics and Econometrics top 5%
- Co-authors
- Abba B. GumelEnahoro IboiMatthew H. BondsGideon A. NgwaErin A. MordecaiRuijun ZhaoMiranda I. Teboh-EwungkemSadie J. Ryan
- Topics
- COVID-19 epidemiological studies (26 papers)Mathematical and Theoretical Epidemiology and Ecology Models (19 papers)SARS-CoV-2 and COVID-19 Research (10 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- The LancetPLoS ONEScientific Reports
- Partner nations
- United StatesSouth AfricaCameroon
In The Last Decade
Calistus N. Ngonghala
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Public Health, Environmental and Occupational Health 808
- Modeling and Simulation 717
- Infectious Diseases 539
- Genetics 214
- Economics and Econometrics 157
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 of co-authors of Calistus N. Ngonghala
This figure shows the co-authorship network connecting the top 25 collaborators of Calistus N. Ngonghala. A scholar is included among the top collaborators of Calistus N. Ngonghala 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 Calistus N. Ngonghala. Calistus N. Ngonghala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 43 | |
| 10 | 11 | |
| 11 | 74 | |
| 12 | 126 | |
| 13 | 36 | |
| 14 | 143 | |
| 15 | 11 | |
| 16 | 57 | |
| 17 | 27 | |
| 18 | 34 | |
| 19 | 100 | |
| 20 | 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) and SARS-CoV-2 and COVID-19 Research (10 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.