Nathan Y. Shehu
- Infectious Diseases top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Emergency Medical Services top 10%
- Neurology
- Co-authors
- Slobodan PaesslerCheng HuangKenneth I. OnyedibeDaniel EgahAdebola OlayinkaJoseph Anejo-OkopiAugustine EbonyiTomoko Makishima
- Topics
- Viral Infections and Outbreaks Research (8 papers)Viral Infections and Vectors (7 papers)Mosquito-borne diseases and control (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaVaccineBMC Cancer
- Partner nations
- NigeriaUnited StatesUnited Kingdom
In The Last Decade
Nathan Y. Shehu
30 papers receiving 322 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 225
- Epidemiology 80
- Public Health, Environmental and Occupational Health 55
- Emergency Medical Services 45
- Neurology 29
Countries citing papers authored by Nathan Y. Shehu
This map shows the geographic impact of Nathan Y. Shehu'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 Nathan Y. Shehu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Y. Shehu more than expected).
Fields of papers citing papers by Nathan Y. Shehu
This network shows the impact of papers produced by Nathan Y. Shehu. 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 Nathan Y. Shehu. The network helps show where Nathan Y. Shehu may publish in the future.
Co-authorship network of co-authors of Nathan Y. Shehu
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Y. Shehu. A scholar is included among the top collaborators of Nathan Y. Shehu 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 Nathan Y. Shehu. Nathan Y. Shehu 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 | 1 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 40 | |
| 9 | 17 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 22 | |
| 13 | 89 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | Review Article: Health Care Environment: A War-zone | 1 |
| 17 | Pattern of opportunistic infections in HIV Patients who fail first line antiretroviral therapy in Jos, Nigeria | 1 |
| 18 | Epidemiological and clinical description of Lassa fever in Jos, Nigeria | 2 |
| 19 | HIV Associated Deep Vein Thrombosis: Case Reports from Jos, Nigeria | 1 |
| 20 | 1 |
About Nathan Y. Shehu
Nathan Y. Shehu is a scholar working on Infectious Diseases, Modeling and Simulation and Virology, having authored 34 papers that have together received 332 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (8 papers), Viral Infections and Vectors (7 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Infectious Diseases (225 citations), Emergency Medical Services (45 citations) and General Dentistry (8 citations). Nathan Y. Shehu has collaborated with scholars based in Nigeria, United States and United Kingdom. Frequent co-authors include Slobodan Paessler, Cheng Huang, Kenneth I. Onyedibe, Daniel Egah, Adebola Olayinka, Joseph Anejo-Okopi, Augustine Ebonyi, Tomoko Makishima, Didier Pittet and Daniela Pires. Their work appears in journals such as SHILAP Revista de lepidopterología, Vaccine and BMC Cancer.
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.