Benoît Kabamba‐Mukadi
About
In The Last Decade
Benoît Kabamba‐Mukadi
25 papers receiving 656 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Infectious Diseases 487
- Biomedical Engineering 232
- Molecular Biology 141
- Epidemiology 96
- Radiology, Nuclear Medicine and Imaging 95
Countries citing papers authored by Benoît Kabamba‐Mukadi
This map shows the geographic impact of Benoît Kabamba‐Mukadi'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 Benoît Kabamba‐Mukadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Kabamba‐Mukadi more than expected).
Fields of papers citing papers by Benoît Kabamba‐Mukadi
This network shows the impact of papers produced by Benoît Kabamba‐Mukadi. 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 Benoît Kabamba‐Mukadi. The network helps show where Benoît Kabamba‐Mukadi may publish in the future.
Co-authorship network of co-authors of Benoît Kabamba‐Mukadi
This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Kabamba‐Mukadi. A scholar is included among the top collaborators of Benoît Kabamba‐Mukadi 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 Benoît Kabamba‐Mukadi. Benoît Kabamba‐Mukadi 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 | 1 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 44 | |
| 9 | 6 | |
| 10 | Low performance of rapid antigen detection test as frontline testing for COVID-19 diagnosis breakdown → | 408 |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 19 | |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 34 | |
| 19 | 10 | |
| 20 | 0 |
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.