Annet Kisakye
- Health top 5%
- Vaccine Coverage and Hesitancy 6
- Hepatology top 5%
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 9
- SARS-CoV-2 and COVID-19 Research 4
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 3
- Animal Science and Zoology top 10%
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- Viral Infections and Immunology Research 7
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- Virology and Viral Diseases 5
- Pneumonia and Respiratory Infections 4
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- Global Maternal and Child Health 4
- Co-authors
- Issa MakumbiMapaseka SeheriJason M. MwendaJun XingMiriam NanyunjaStella ChungongBarnabas BakamutumahoJoseph Francis Wamala
- Cited by
- HealthHepatologyInfectious Diseases
- Journals
- PLoS ONE (2 papers)Clinical Infectious Diseases (2 papers)The Journal of Infectious Diseases (1 paper)
- Partner nations
- UgandaUnited StatesRepublic of the Congo
In The Last Decade
Annet Kisakye
23 papers receiving 544 citations
Peers
Comparison fields: 5 of 91
- Health 134
- Hepatology 120
- Infectious Diseases 274
- Modeling and Simulation 39
- Animal Science and Zoology 58
Countries citing papers authored by Annet Kisakye
This map shows the geographic impact of Annet Kisakye'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 Annet Kisakye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annet Kisakye more than expected).
Fields of papers citing papers by Annet Kisakye
This network shows the impact of papers produced by Annet Kisakye. 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 Annet Kisakye. The network helps show where Annet Kisakye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Annet Kisakye, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 75 | |
| 13 | 2018 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2013 | 15 | |
| 16 | 2011 | 27 | |
| 17 | 2011 | 5 | |
| 18 | 2010 | 5 | |
| 19 | 2010 | 159 | |
| 20 | 2010 | 163 |
About Annet Kisakye
Annet Kisakye is a scholar working on Infectious Diseases, Health and Modeling and Simulation, having authored 25 papers that have together received 557 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Immunology Research (7 papers), Vaccine Coverage and Hesitancy (6 papers), Virology and Viral Diseases (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Pneumonia and Respiratory Infections (4 papers), Global Maternal and Child Health (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Health (134 citations), Hepatology (120 citations) and Infectious Diseases (274 citations). Annet Kisakye has collaborated with scholars based in Uganda, United States and Republic of the Congo. Frequent co-authors include Issa Makumbi, Mapaseka Seheri, Jason M. Mwenda, Jun Xing, Miriam Nanyunja, Stella Chungong, Barnabas Bakamutumaho, Joseph Francis Wamala, Julius J. Lutwama and Fernando da Silveira. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and The Journal of Infectious Diseases.
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.