Jean Jacques Muyembe
- Infectious Diseases top 10%
- Epidemiology
- Hepatology top 10%
- Modeling and Simulation top 5%
- Virology top 10%
- Co-authors
- Patrick KayembéDalau Mukadi NkambaNathan WolfeJoseph Nelson Siewe FodjoUbald TamouféRobert ColebundersJoseph N. FairWim Van Damme
- Topics
- COVID-19 epidemiological studies (3 papers)Vibrio bacteria research studies (3 papers)HIV Research and Treatment (2 papers)
- Partner nations
- Democratic Republic of the CongoUnited StatesBelgium
In The Last Decade
Jean Jacques Muyembe
19 papers receiving 372 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 132
- Epidemiology 130
- Hepatology 78
- Modeling and Simulation 65
- Virology 64
Countries citing papers authored by Jean Jacques Muyembe
This map shows the geographic impact of Jean Jacques Muyembe'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 Jean Jacques Muyembe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Jacques Muyembe more than expected).
Fields of papers citing papers by Jean Jacques Muyembe
This network shows the impact of papers produced by Jean Jacques Muyembe. 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 Jean Jacques Muyembe. The network helps show where Jean Jacques Muyembe may publish in the future.
Co-authorship network of co-authors of Jean Jacques Muyembe
This figure shows the co-authorship network connecting the top 25 collaborators of Jean Jacques Muyembe. A scholar is included among the top collaborators of Jean Jacques Muyembe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean Jacques Muyembe. Jean Jacques Muyembe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 55 | |
| 3 | 19 | |
| 4 | 13 | |
| 5 | 21 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | Molecular Analysis of Influenza A(H3N2) and A(H1N1)pdm09 Viruses circulating in the Democratic Republic of Congo, 2014. | 4 |
| 10 | 6 | |
| 11 | 34 | |
| 12 | 55 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 21 | |
| 16 | 26 | |
| 17 | 32 | |
| 18 | 33 | |
| 19 | 19 |
About Jean Jacques Muyembe
Jean Jacques Muyembe is a scholar working on Modeling and Simulation, Endocrinology and Infectious Diseases, having authored 19 papers that have together received 382 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Vibrio bacteria research studies (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Modeling and Simulation (65 citations), Virology (64 citations) and Hepatology (78 citations). Jean Jacques Muyembe has collaborated with scholars based in Democratic Republic of the Congo, United States and Belgium. Frequent co-authors include Patrick Kayembé, Dalau Mukadi Nkamba, Nathan Wolfe, Joseph Nelson Siewe Fodjo, Ubald Tamoufé, Robert Colebunders, Joseph N. Fair, Wim Van Damme, Hypolite Muhindo Mavoko and Cyrille F. Djoko. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology 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.