Akaninyene Otu
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 6
- Virology top 5%
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research 4
- Health top 10%
- Vaccine Coverage and Hesitancy 3
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- Hepatitis B Virus Studies 3
- Fungal Infections and Studies 3
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
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- COVID-19 Pandemic Impacts 3
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- Animal Disease Management and Epidemiology 3
- Co-authors
- Bassey EbensoSanni YayaRonald LabontéChinwe Lucia OchuJohn WalleyJosep MercaderEmmanuel EffaR J Russell
- Partner nations
- NigeriaUnited KingdomCanada
In The Last Decade
Akaninyene Otu
39 papers receiving 715 citations
Peers
Comparison fields: 5 of 144
- Modeling and Simulation 110
- Virology 93
- Infectious Diseases 196
- Health 71
- Epidemiology 177
Countries citing papers authored by Akaninyene Otu
This map shows the geographic impact of Akaninyene Otu'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 Akaninyene Otu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akaninyene Otu more than expected).
Fields of papers citing papers by Akaninyene Otu
This network shows the impact of papers produced by Akaninyene Otu. 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 Akaninyene Otu. The network helps show where Akaninyene Otu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akaninyene Otu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 17 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 28 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 41 | |
| 10 | 2020 | 55 | |
| 11 | 2020 | 54 | |
| 12 | 2018 | 23 | |
| 13 | 2017 | 4 | |
| 14 | 2017 | 36 | |
| 15 | 2017 | 10 | |
| 16 | 2015 | 5 | |
| 17 | 2015 | 14 | |
| 18 | 2014 | 9 | |
| 19 | Awareness and Utilization of Haemoglobin A1C Estimation As A Glycaemic Monitoring Tool In Persons With Diabetes By Medical Practitioners In Calabar, Nigeria: A Clinical Practice Audit | 2013 | 1 |
| 20 | 1988 | 4 |
About Akaninyene Otu
Akaninyene Otu is a scholar working on Modeling and Simulation, Infectious Diseases and Virology, having authored 39 papers that have together received 753 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), COVID-19 Pandemic Impacts (3 papers), Hepatitis B Virus Studies (3 papers), Vaccine Coverage and Hesitancy (3 papers), Animal Disease Management and Epidemiology (3 papers) and Fungal Infections and Studies (3 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Virology (93 citations) and Infectious Diseases (196 citations). Akaninyene Otu has collaborated with scholars based in Nigeria, United Kingdom and Canada. Frequent co-authors include Bassey Ebenso, Sanni Yaya, Ronald Labonté, Chinwe Lucia Ochu, John Walley, Josep Mercader, Emmanuel Effa, R J Russell, Russ White and Soter Ameh. Their work appears in journals such as Nature Medicine, Frontiers in Nutrition, The Lancet Microbe, Cancer and International Journal of STD & AIDS.
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.