Sayoki Mfinanga
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 66
- HIV/AIDS Research and Interventions 19
- Epidemiology top 1%
- Mycobacterium research and diagnosis 30
- Pneumocystis jirovecii pneumonia detection and treatment 25
- Pneumonia and Respiratory Infections 14
- Virology top 5%
- Emergency Medicine top 2%
- Modeling and Simulation top 5%
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- Diagnosis and treatment of tuberculosis 25
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- Global Maternal and Child Health 11
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- HIV/AIDS Impact and Responses 10
- Co-authors
- Peter MwabaBernard NgowiAlimuddin ZumlaOdd MørkveNathan KapataFrancine NtoumiEsther NgadayaTimothy D. McHugh
- Journals
- PLoS ONE (13 papers)International Journal of Infectious Diseases (9 papers)BMC Infectious Diseases (6 papers)
- Partner nations
- TanzaniaUnited KingdomUnited States
In The Last Decade
Sayoki Mfinanga
142 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Infectious Diseases 2.5k
- Epidemiology 1.9k
- Virology 217
- Emergency Medicine 232
- Modeling and Simulation 95
Countries citing papers authored by Sayoki Mfinanga
This map shows the geographic impact of Sayoki Mfinanga'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 Sayoki Mfinanga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayoki Mfinanga more than expected).
Fields of papers citing papers by Sayoki Mfinanga
This network shows the impact of papers produced by Sayoki Mfinanga. 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 Sayoki Mfinanga. The network helps show where Sayoki Mfinanga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sayoki Mfinanga, 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 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 33 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 15 | |
| 15 | 2019 | 49 | |
| 16 | 2018 | 8 | |
| 17 | 2015 | 2 | |
| 18 | 2013 | 59 | |
| 19 | 2012 | 12 | |
| 20 | 2009 | 9 |
About Sayoki Mfinanga
Sayoki Mfinanga is a scholar working on Infectious Diseases, Epidemiology, Virology, Organizational Behavior and Human Resource Management and Health, having authored 159 papers that have together received 4.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (66 papers), Mycobacterium research and diagnosis (30 papers), Diagnosis and treatment of tuberculosis (25 papers), Pneumocystis jirovecii pneumonia detection and treatment (25 papers), HIV/AIDS Research and Interventions (19 papers), Pneumonia and Respiratory Infections (14 papers), Global Maternal and Child Health (11 papers) and HIV/AIDS Impact and Responses (10 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Epidemiology (1.9k citations), Virology (217 citations), Emergency Medicine (232 citations) and Modeling and Simulation (95 citations). Sayoki Mfinanga has collaborated with scholars based in Tanzania, United Kingdom and United States. Frequent co-authors include Peter Mwaba, Bernard Ngowi, Alimuddin Zumla, Odd Mørkve, Nathan Kapata, Francine Ntoumi, Esther Ngadaya, Timothy D. McHugh, Jeremiah Chakaya and Simon Tiberi. Their work appears in journals such as PLoS ONE, International Journal of Infectious Diseases, BMC Infectious Diseases, The International Journal of Tuberculosis and Lung Disease and BMC Public Health.
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.