Kayode Oshinubi
- Modeling and Simulation top 1%
- Public Health, Environmental and Occupational Health top 10%
- Virology top 5%
- Infectious Diseases top 10%
- Molecular Biology
- Co-authors
- Olumuyiwa James PeterFestus Abiodun OguntoluJacques DemongeotMusa RabiuNitu KumariMustapha RachdiEmmanuel AddaiAdesoye Idowu Abioye
- Topics
- COVID-19 epidemiological studies (23 papers)Mathematical and Theoretical Epidemiology and Ecology Models (12 papers)Fractional Differential Equations Solutions (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaVirusesFrontiers in Public Health
- Partner nations
- FranceNigeriaUnited States
In The Last Decade
Kayode Oshinubi
35 papers receiving 620 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 318
- Public Health, Environmental and Occupational Health 234
- Virology 208
- Infectious Diseases 134
- Molecular Biology 119
Countries citing papers authored by Kayode Oshinubi
This map shows the geographic impact of Kayode Oshinubi'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 Kayode Oshinubi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayode Oshinubi more than expected).
Fields of papers citing papers by Kayode Oshinubi
This network shows the impact of papers produced by Kayode Oshinubi. 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 Kayode Oshinubi. The network helps show where Kayode Oshinubi may publish in the future.
Co-authorship network of co-authors of Kayode Oshinubi
This figure shows the co-authorship network connecting the top 25 collaborators of Kayode Oshinubi. A scholar is included among the top collaborators of Kayode Oshinubi 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 Kayode Oshinubi. Kayode Oshinubi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 26 | |
| 8 | 11 | |
| 9 | 30 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 34 | |
| 13 | 7 | |
| 14 | 21 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | Transmission dynamics of Monkeypox virus: a mathematical modelling approachbreakdown → | 191 |
| 19 | 4 | |
| 20 | 65 |
About Kayode Oshinubi
Kayode Oshinubi is a scholar working on Modeling and Simulation, Virology and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 644 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (23 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and Fractional Differential Equations Solutions (6 papers). The work is most often cited by research in Modeling and Simulation (318 citations), Virology (208 citations) and Public Health, Environmental and Occupational Health (234 citations). Kayode Oshinubi has collaborated with scholars based in France, Nigeria and United States. Frequent co-authors include Olumuyiwa James Peter, Festus Abiodun Oguntolu, Jacques Demongeot, Musa Rabiu, Nitu Kumari, Mustapha Rachdi, Emmanuel Addai, Adesoye Idowu Abioye, Abdullahi Ibrahim and Hammed Abiodun Ogunseye. Their work appears in journals such as SHILAP Revista de lepidopterología, Viruses and Frontiers in Public Health.
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.