Mayowa M. Ojo
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 10%
- Virology top 5%
- Genetics
- Co-authors
- Olumuyiwa James PeterFestus Abiodun OguntoluEmile Franc Doungmo GoufoHasan S. PanigoroAfeez AbidemiIlyas KhanRashid JanKottakkaran Sooppy Nisar
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (16 papers)COVID-19 epidemiological studies (15 papers)Evolution and Genetic Dynamics (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiological PsychiatryPhysica A Statistical Mechanics and its Applications
- Partner nations
- NigeriaSouth AfricaUnited States
In The Last Decade
Mayowa M. Ojo
21 papers receiving 628 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Modeling and Simulation 394
- Public Health, Environmental and Occupational Health 353
- Infectious Diseases 187
- Virology 149
- Genetics 124
Countries citing papers authored by Mayowa M. Ojo
This map shows the geographic impact of Mayowa M. Ojo'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 Mayowa M. Ojo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayowa M. Ojo more than expected).
Fields of papers citing papers by Mayowa M. Ojo
This network shows the impact of papers produced by Mayowa M. Ojo. 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 Mayowa M. Ojo. The network helps show where Mayowa M. Ojo may publish in the future.
Co-authorship network of co-authors of Mayowa M. Ojo
This figure shows the co-authorship network connecting the top 25 collaborators of Mayowa M. Ojo. A scholar is included among the top collaborators of Mayowa M. Ojo 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 Mayowa M. Ojo. Mayowa M. Ojo 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 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 38 | |
| 8 | 59 | |
| 9 | 30 | |
| 10 | 31 | |
| 11 | 52 | |
| 12 | 3 | |
| 13 | 54 | |
| 14 | 15 | |
| 15 | 29 | |
| 16 | Fractional order mathematical model of monkeypox transmission dynamicsbreakdown → | 114 |
| 17 | 38 | |
| 18 | 25 | |
| 19 | 13 | |
| 20 | 5 |
About Mayowa M. Ojo
Mayowa M. Ojo is a scholar working on Modeling and Simulation, Virology and Endocrinology, having authored 28 papers that have together received 650 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), COVID-19 epidemiological studies (15 papers) and Evolution and Genetic Dynamics (5 papers). The work is most often cited by research in Modeling and Simulation (394 citations), Virology (149 citations) and Public Health, Environmental and Occupational Health (353 citations). Mayowa M. Ojo has collaborated with scholars based in Nigeria, South Africa and United States. Frequent co-authors include Olumuyiwa James Peter, Festus Abiodun Oguntolu, Emile Franc Doungmo Goufo, Hasan S. Panigoro, Afeez Abidemi, Ilyas Khan, Rashid Jan, Kottakkaran Sooppy Nisar, Abdullahi Yusuf and Nitu Kumari. Their work appears in journals such as SHILAP Revista de lepidopterología, Biological Psychiatry and Physica A Statistical Mechanics and its Applications.
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.