Patrick Semanda
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 detection and testing 1
- Viral Infections and Outbreaks Research 1
-
- Animal Virus Infections Studies 2
- Co-authors
- Aine Niamh O’Toole (1 shared paper)Susan Ndidde Nabadda (1 shared paper)My V. T. Phan (1 shared paper)Isaac Ssewanyana (1 shared paper)Pontiano Kaleebu (1 shared paper)Matthew L. Cotten (1 shared paper)Hellen Nansumba (1 shared paper)Daniel Lule Bugembe (1 shared paper)
- Journals
- Science (2 papers)Nature Microbiology (1 paper)Tropical Medicine and Infectious Disease (1 paper)
- Partner nations
- South AfricaKenyaUganda
In The Last Decade
Patrick Semanda
4 papers receiving 331 citations
Peers
Comparison fields: 5 of 46
- Modeling and Simulation 70
- Infectious Diseases 244
- Animal Science and Zoology 29
- Health 20
- Molecular Biology 80
Countries citing papers authored by Patrick Semanda
This map shows the geographic impact of Patrick Semanda'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 Patrick Semanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Semanda more than expected).
Fields of papers citing papers by Patrick Semanda
This network shows the impact of papers produced by Patrick Semanda. 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 Patrick Semanda. The network helps show where Patrick Semanda may publish in the future.
Co-authors
The 9 scholars most cited alongside Patrick Semanda, 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 | 2021 | 150 | |
| 2 | 2022 | 114 | |
| 3 | 2021 | 68 | |
| 4 | 2025 | 3 |
About Patrick Semanda
Patrick Semanda is a scholar working on Infectious Diseases, Animal Science and Zoology, Modeling and Simulation, Molecular Biology and Insect Science, having authored 4 papers that have together received 335 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (2 papers), vaccines and immunoinformatics approaches (2 papers), COVID-19 Clinical Research Studies (1 paper), COVID-19 epidemiological studies (1 paper), SARS-CoV-2 detection and testing (1 paper), Viral Infections and Outbreaks Research (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Modeling and Simulation (70 citations), Infectious Diseases (244 citations), Animal Science and Zoology (29 citations), Health (20 citations) and Molecular Biology (80 citations). Patrick Semanda has collaborated with scholars based in South Africa, Kenya and Uganda. Frequent co-authors include Aine Niamh O’Toole, Susan Ndidde Nabadda, My V. T. Phan, Isaac Ssewanyana, Pontiano Kaleebu, Matthew L. Cotten, Hellen Nansumba, Daniel Lule Bugembe and Andrew Rambaut. Their work appears in journals such as Science, Nature Microbiology and Tropical Medicine and Infectious Disease.
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.