Testimony Olumade
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
Papers in
-
- SARS-CoV-2 and COVID-19 Research 2
- Viral Infections and Outbreaks Research 2
- COVID-19 Clinical Research Studies 2
- Co-authors
- Judith U. Oguzie (6 shared papers)Uwem E. George (2 shared papers)Olusola Ogunsanya (3 shared papers)Christian Happi (4 shared papers)Jonathan L. Heeney (2 shared papers)Bamidele Mutiu (1 shared paper)Abimbola Bowale (1 shared paper)Chika Onwuamah (1 shared paper)
- Journals
- Scientific Reports (1 paper)Journal of the National Medical Association (1 paper)Journal of Medical Virology (1 paper)Microbiology Spectrum (1 paper)PeerJ (1 paper)
- Partner nations
- NigeriaUnited StatesUnited Kingdom
In The Last Decade
Testimony Olumade
9 papers receiving 94 citations
Peers
Comparison fields: 5 of 46
- Modeling and Simulation 19
- Infectious Diseases 67
- Endocrinology 8
- Neurology 19
- Applied Microbiology and Biotechnology 2
Countries citing papers authored by Testimony Olumade
This map shows the geographic impact of Testimony Olumade'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 Testimony Olumade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Testimony Olumade more than expected).
Fields of papers citing papers by Testimony Olumade
This network shows the impact of papers produced by Testimony Olumade. 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 Testimony Olumade. The network helps show where Testimony Olumade may publish in the future.
Co-authors
The 24 scholars most cited alongside Testimony Olumade, 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 | 2020 | 30 | |
| 2 | 2021 | 22 | |
| 3 | 2020 | 20 | |
| 4 | 2022 | 11 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 2 | |
| 8 | 2019 | 1 | |
| 9 | 2022 | 1 |
About Testimony Olumade
Testimony Olumade is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Endocrinology and Genetics, having authored 9 papers that have together received 97 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Hepatitis B Virus Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Escherichia coli research studies (2 papers), Vibrio bacteria research studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Modeling and Simulation (19 citations), Infectious Diseases (67 citations), Endocrinology (8 citations), Neurology (19 citations) and Applied Microbiology and Biotechnology (2 citations). Testimony Olumade has collaborated with scholars based in Nigeria, United States and United Kingdom. Frequent co-authors include Judith U. Oguzie, Uwem E. George, Olusola Ogunsanya, Christian Happi, Jonathan L. Heeney, Bamidele Mutiu, Abimbola Bowale, Chika Onwuamah, Anise N. Happi and Kazeem Akano. Their work appears in journals such as Scientific Reports, Journal of the National Medical Association, Journal of Medical Virology, Microbiology Spectrum and PeerJ.
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.