Justin Masumu
- Infectious Diseases top 5%
- Viral Infections and Vectors 14
- Viral Infections and Outbreaks Research 11
- Parasitology top 10%
- Modeling and Simulation top 5%
- Virology top 10%
- Epidemiology top 10%
- Trypanosoma species research and implications 14
- Hepatitis B Virus Studies 5
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- Research on Leishmaniasis Studies 12
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- Animal Disease Management and Epidemiology 7
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- Vector-Borne Animal Diseases 7
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- Insect symbiosis and bacterial influences 4
- Co-authors
- Peter Van den BosscheJanusz T. PawęskaAlan C. KempJ. J. Muyembe‐TamfumJean Marie KayembeSabue MulanguS. GeertsTanguy Marcotty
- Journals
- PLoS ONE (3 papers)Scientific Reports (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- Democratic Republic of the CongoBelgiumSouth Africa
In The Last Decade
Justin Masumu
36 papers receiving 544 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 295
- Parasitology 64
- Modeling and Simulation 43
- Virology 44
- Epidemiology 254
Countries citing papers authored by Justin Masumu
This map shows the geographic impact of Justin Masumu'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 Justin Masumu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Masumu more than expected).
Fields of papers citing papers by Justin Masumu
This network shows the impact of papers produced by Justin Masumu. 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 Justin Masumu. The network helps show where Justin Masumu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Justin Masumu, 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 | 2024 | 1 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 3 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 9 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 15 | |
| 10 | 2016 | 13 | |
| 11 | 2014 | 18 | |
| 12 | Vector competence of Glossina austeni and Glossina brevipalpis for Trypanosoma congolense in KwaZulu-Natal, South Africa : original research | 2012 | 1 |
| 13 | Ebola virus outbreaks in Africa : past and present : proceeding | 2012 | 4 |
| 14 | 2012 | 20 | |
| 15 | 2012 | 118 | |
| 16 | 2012 | 74 | |
| 17 | 2009 | 14 | |
| 18 | 2009 | 11 | |
| 19 | 2009 | 4 | |
| 20 | 2006 | 16 |
About Justin Masumu
Justin Masumu is a scholar working on Infectious Diseases, Virology and Parasitology, having authored 38 papers that have together received 568 indexed citations. Recurring topics across this work include Viral Infections and Vectors (14 papers), Trypanosoma species research and implications (14 papers), Research on Leishmaniasis Studies (12 papers), Viral Infections and Outbreaks Research (11 papers), Animal Disease Management and Epidemiology (7 papers), Vector-Borne Animal Diseases (7 papers), Hepatitis B Virus Studies (5 papers) and Insect symbiosis and bacterial influences (4 papers). The work is most often cited by research in Infectious Diseases (295 citations), Parasitology (64 citations) and Modeling and Simulation (43 citations). Justin Masumu has collaborated with scholars based in Democratic Republic of the Congo, Belgium and South Africa. Frequent co-authors include Peter Van den Bossche, Janusz T. Pawęska, Alan C. Kemp, J. J. Muyembe‐Tamfum, Jean Marie Kayembe, Sabue Mulangu, S. Geerts, Tanguy Marcotty, V. Delespaux and Dirk Geysen. Their work appears in journals such as PLoS ONE, Scientific Reports 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.