Eric Katagirya
Impact in
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
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- Antibiotic Resistance in Bacteria 5
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- SARS-CoV-2 and COVID-19 Research 3
- SARS-CoV-2 detection and testing 3
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Savannah Mwesigwa (7 shared papers)Misaki Wayengera (2 shared papers)Edgar Kigozi (2 shared papers)Robert L. Lukande (1 shared paper)Bernard S. Bagaya (1 shared paper)Moses Lutaakome Joloba (2 shared papers)David Patrick Kateete (2 shared papers)Gerald Mboowa (1 shared paper)
- Journals
- Infection Genetics and Evolution (2 papers)Heliyon (2 papers)Frontiers in Genetics (1 paper)Briefings in Bioinformatics (1 paper)Science (1 paper)
- Partner nations
- UgandaUnited StatesBotswana
In The Last Decade
Eric Katagirya
18 papers receiving 235 citations
Peers
Comparison fields: 5 of 62
- Applied Microbiology and Biotechnology 14
- Infectious Diseases 87
- Modeling and Simulation 20
- Molecular Medicine 21
- Virology 14
Countries citing papers authored by Eric Katagirya
This map shows the geographic impact of Eric Katagirya'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 Eric Katagirya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Katagirya more than expected).
Fields of papers citing papers by Eric Katagirya
This network shows the impact of papers produced by Eric Katagirya. 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 Eric Katagirya. The network helps show where Eric Katagirya may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Katagirya, 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 | 2022 | 114 | |
| 2 | 2018 | 37 | |
| 3 | 2021 | 17 | |
| 4 | 2018 | 15 | |
| 5 | 2021 | 13 | |
| 6 | 2024 | 8 | |
| 7 | 2021 | 6 | |
| 8 | 2018 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2026 | 0 |
About Eric Katagirya
Eric Katagirya is a scholar working on Molecular Medicine, Infectious Diseases, Animal Science and Zoology, Immunology and Virology, having authored 19 papers that have together received 243 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Animal Virus Infections Studies (3 papers), Genomics and Phylogenetic Studies (2 papers), Tuberculosis Research and Epidemiology (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (14 citations), Infectious Diseases (87 citations), Modeling and Simulation (20 citations), Molecular Medicine (21 citations) and Virology (14 citations). Eric Katagirya has collaborated with scholars based in Uganda, United States and Botswana. Frequent co-authors include Savannah Mwesigwa, Misaki Wayengera, Edgar Kigozi, Robert L. Lukande, Bernard S. Bagaya, Moses Lutaakome Joloba, David Patrick Kateete, Gerald Mboowa, Ronald Olum and Harriet Mpairwe. Their work appears in journals such as Infection Genetics and Evolution, Heliyon, Frontiers in Genetics, Briefings in Bioinformatics and Science.
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.