Benoît Kebela Ilunga

23 papers receiving 898 citations

Peers

Benoît Kebela Ilunga
Comparison fields: 5 of 88
  • Modeling and Simulation 148
  • Infectious Diseases 457
  • Endocrinology 125
  • Emergency Medical Services 116
  • Virology 63
Replace Corien Swaan with:
Corien Swaan Netherlands
Vital Mondonge Democratic Republic of the Congo
Sunday Omilabu Nigeria
Jean‐Jacques Muyembe Tamfum Democratic Republic of the Congo
Abdulhafeez Turkestani Saudi Arabia
Nina Marano United States
Mamunur Rahman Malik Egypt
Steve Ahuka‐Mundeke Democratic Republic of the Congo
Annie D. Fine United States
Lilian Bulage Uganda
Benoît Kebela Ilunga relative to Corien Swaan Netherlands Corien Swaan's profile →
Citations per field
00.5×3.7×
Corien Swaan · 1×
Citations per year

Countries citing papers authored by Benoît Kebela Ilunga

Since Specialization
Citations

This map shows the geographic impact of Benoît Kebela Ilunga'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 Kebela Ilunga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Kebela Ilunga more than expected).

Fields of papers citing papers by Benoît Kebela Ilunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoît Kebela Ilunga. 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 Kebela Ilunga. The network helps show where Benoît Kebela Ilunga may publish in the future.

Co-authors

The 25 scholars most cited alongside Benoît Kebela Ilunga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoît Kebela Ilunga Line = papers co-authored together Benoît Kebela Ilunga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014218
2 2015173
3 201198
4 201577
5 201551
6 201642
7 201838
8 201926
9 201426
10 201224
11 201221
12 201321
13 201520
14 201518
15 200916
16 201515
17 201014
18 201813
19 20188
20 20227

About Benoît Kebela Ilunga

Benoît Kebela Ilunga is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Emergency Medical Services and Modeling and Simulation, having authored 24 papers that have together received 938 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (10 papers), Virology and Viral Diseases (5 papers), Disaster Response and Management (4 papers), Zoonotic diseases and public health (4 papers), COVID-19 epidemiological studies (4 papers), Vibrio bacteria research studies (3 papers), Viral Infections and Vectors (3 papers) and Poxvirus research and outbreaks (2 papers). The work is most often cited by research in Modeling and Simulation (148 citations), Infectious Diseases (457 citations), Endocrinology (125 citations), Emergency Medical Services (116 citations) and Virology (63 citations). Benoît Kebela Ilunga has collaborated with scholars based in Democratic Republic of the Congo, United States and France. Frequent co-authors include Jean‐Jacques Muyembe Tamfum, Jimmy Kapetshi, Renaud Piarroux, Martine Piarroux, Patrick Giraudoux, Bertrand Súdre, Sylvie Briand, Vital Mondonge, Christopher Dye and Gary Kobinger. Their work appears in journals such as The Journal of Infectious Diseases, Emerging infectious diseases, Vaccine, Influenza and Other Respiratory Viruses and International 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.

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