Chuku Okorie
- Infectious Diseases top 2%
- Neurology top 5%
- Clinical Psychology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- Adekunle SanyaoluAleksandra MarinkovicJasmine MangatPriyank DesaiRisha PatidarInderbir PaddaKokab YounisJennifer A. Locke
- Topics
- COVID-19 Clinical Research Studies (11 papers)SARS-CoV-2 and COVID-19 Research (7 papers)Mosquito-borne diseases and control (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAmerican Journal of Tropical Medicine and Hygiene
- Partner nations
- NigeriaUnited StatesDominica
In The Last Decade
Chuku Okorie
31 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Infectious Diseases 803
- Neurology 309
- Clinical Psychology 231
- Public Health, Environmental and Occupational Health 222
- Epidemiology 205
Countries citing papers authored by Chuku Okorie
This map shows the geographic impact of Chuku Okorie'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 Chuku Okorie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuku Okorie more than expected).
Fields of papers citing papers by Chuku Okorie
This network shows the impact of papers produced by Chuku Okorie. 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 Chuku Okorie. The network helps show where Chuku Okorie may publish in the future.
Co-authorship network of co-authors of Chuku Okorie
This figure shows the co-authorship network connecting the top 25 collaborators of Chuku Okorie. A scholar is included among the top collaborators of Chuku Okorie 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 Chuku Okorie. Chuku Okorie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 93 | |
| 12 | 24 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | 87 | |
| 16 | 0 | |
| 17 | Comorbidity and its Impact on Patients with COVID-19breakdown → | 951 |
| 18 | 14 | |
| 19 | Childhood and Adolescent Obesity in the United States: A Public Health Concernbreakdown → | 295 |
| 20 | 26 |
About Chuku Okorie
Chuku Okorie is a scholar working on Infectious Diseases, Health and Modeling and Simulation, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Infectious Diseases (803 citations), Modeling and Simulation (159 citations) and Neurology (309 citations). Chuku Okorie has collaborated with scholars based in Nigeria, United States and Dominica. Frequent co-authors include Adekunle Sanyaolu, Aleksandra Marinkovic, Jasmine Mangat, Priyank Desai, Risha Patidar, Inderbir Padda, Kokab Younis, Jennifer A. Locke, Saif Rehman and Xiaohua Qi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Tropical Medicine and Hygiene.
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.