Léopold Lubula
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 6
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- Viral Infections and Outbreaks Research 5
- Viral Infections and Vectors 2
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- Zoonotic diseases and public health 4
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- Influenza Virus Research Studies 5
- Respiratory viral infections research 2
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- Dengue and Mosquito Control Research 1
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- Child Nutrition and Water Access 1
- Co-authors
- Benoît Kebela IlungaPia D. M. MacDonaldStefano TempiaMathias MossokoKristen StolkaHugo Kavunga‐MemboEdith NkwembeJean‐Jacques Muyembe Tamfum
- Journals
- BMC Public Health (1 paper)PLoS neglected tropical diseases (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- Democratic Republic of the CongoUnited StatesSouth Africa
In The Last Decade
Léopold Lubula
9 papers receiving 90 citations
Peers
Comparison fields: 5 of 46
- Modeling and Simulation 18
- Infectious Diseases 48
- Health 9
- Public Health, Environmental and Occupational Health 31
- Epidemiology 34
Countries citing papers authored by Léopold Lubula
This map shows the geographic impact of Léopold Lubula'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 Léopold Lubula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léopold Lubula more than expected).
Fields of papers citing papers by Léopold Lubula
This network shows the impact of papers produced by Léopold Lubula. 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 Léopold Lubula. The network helps show where Léopold Lubula may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Léopold Lubula, 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 | 2022 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 26 | |
| 9 | 2018 | 8 | |
| 10 | Prioritization of Zoonotic Diseases in theDemocratic Republic of the Congo, 2016 | 2018 | 1 |
| 11 | 2018 | 13 |
About Léopold Lubula
Léopold Lubula is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 93 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Influenza Virus Research Studies (5 papers), Viral Infections and Outbreaks Research (5 papers), Zoonotic diseases and public health (4 papers), Respiratory viral infections research (2 papers), Viral Infections and Vectors (2 papers), Dengue and Mosquito Control Research (1 paper) and Child Nutrition and Water Access (1 paper). The work is most often cited by research in Modeling and Simulation (18 citations), Infectious Diseases (48 citations) and Health (9 citations). Léopold Lubula has collaborated with scholars based in Democratic Republic of the Congo, United States and South Africa. Frequent co-authors include Benoît Kebela Ilunga, Pia D. M. MacDonald, Stefano Tempia, Mathias Mossoko, Kristen Stolka, Hugo Kavunga‐Membo, Edith Nkwembe, Jean‐Jacques Muyembe Tamfum, Jennifer Hemingway‐Foday and Emile Okitolonda Wemakoy. Their work appears in journals such as BMC Public Health, PLoS neglected tropical diseases and Frontiers in 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.