Daniel Mukadi‐Bamuleka
- Infectious Diseases top 2%
- Epidemiology
- Molecular Biology
- Neurology top 10%
- Virology top 5%
- Co-authors
- Jean‐Jacques Muyembé‐TamfumJanet Dı́azLori E. DoddMichael A. ProschanAntoine TshombaSabué MulanguOlivier Tshiani MbayaRebecca F. Grais
- Topics
- Viral Infections and Outbreaks Research (19 papers)COVID-19 epidemiological studies (9 papers)Viral Infections and Vectors (7 papers)
- Journals
- NatureNew England Journal of MedicineSHILAP Revista de lepidopterología
- Partner nations
- Democratic Republic of the CongoUnited StatesBelgium
In The Last Decade
Daniel Mukadi‐Bamuleka
19 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Infectious Diseases 928
- Epidemiology 235
- Molecular Biology 222
- Neurology 174
- Virology 153
Countries citing papers authored by Daniel Mukadi‐Bamuleka
This map shows the geographic impact of Daniel Mukadi‐Bamuleka'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 Daniel Mukadi‐Bamuleka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mukadi‐Bamuleka more than expected).
Fields of papers citing papers by Daniel Mukadi‐Bamuleka
This network shows the impact of papers produced by Daniel Mukadi‐Bamuleka. 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 Daniel Mukadi‐Bamuleka. The network helps show where Daniel Mukadi‐Bamuleka may publish in the future.
Co-authorship network of co-authors of Daniel Mukadi‐Bamuleka
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mukadi‐Bamuleka. A scholar is included among the top collaborators of Daniel Mukadi‐Bamuleka 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 Daniel Mukadi‐Bamuleka. Daniel Mukadi‐Bamuleka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | A Randomized, Controlled Trial of Ebola Virus Disease Therapeuticsbreakdown → | 993 |
| 18 | 13 | |
| 19 | 30 | |
| 20 | 135 |
About Daniel Mukadi‐Bamuleka
Daniel Mukadi‐Bamuleka is a scholar working on Modeling and Simulation, Infectious Diseases and Emergency Medical Services, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (19 papers), COVID-19 epidemiological studies (9 papers) and Viral Infections and Vectors (7 papers). The work is most often cited by research in Infectious Diseases (928 citations), Virology (153 citations) and Modeling and Simulation (70 citations). Daniel Mukadi‐Bamuleka has collaborated with scholars based in Democratic Republic of the Congo, United States and Belgium. Frequent co-authors include Jean‐Jacques Muyembé‐Tamfum, Janet Dı́az, Lori E. Dodd, Michael A. Proschan, Antoine Tshomba, Sabué Mulangu, Olivier Tshiani Mbaya, Rebecca F. Grais, Richard T. Davey and Adam C. Levine. Their work appears in journals such as Nature, New England Journal of Medicine and SHILAP Revista de lepidopterología.
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.