Benoît Kabamba

1.2k citations
30 papers · 540 · h-index 10

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral Infections and Vectors
    • Vector-borne infectious diseases

Papers in

    • COVID-19 Clinical Research Studies 5
    • SARS-CoV-2 and COVID-19 Research 4
    • Viral Infections and Vectors 3
    • Hepatitis B Virus Studies 6

Benoît Kabamba

25 papers receiving 532 citations

Peers

Benoît Kabamba
Comparison fields: 5 of 71
  • Infectious Diseases 314
  • Parasitology 114
  • Hepatology 67
  • Epidemiology 91
  • Transplantation 7
Replace Ralph Huits with:
Ralph Huits Belgium
Scott J. Thaler United States
Alfons Jiménez Spain
Elisabeth Daghofer Austria
Dürdal Us Türkiye
Nadine Lübke Germany
N Bannert Germany
Lucila Marquez United States
Marcello Trizzino Italy
Naomi K. Boatright United States
Benoît Kabamba relative to Ralph Huits Belgium Ralph Huits's profile →
Citations per field
00.5×
Ralph Huits · 1×
Citations per year

Countries citing papers authored by Benoît Kabamba

Since Specialization
Citations

This map shows the geographic impact of Benoît Kabamba'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 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 more than expected).

Fields of papers citing papers by Benoît Kabamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoît Kabamba, 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 Kabamba Line = papers co-authored together Benoît Kabamba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020201
2 201250
3 201541
4 201835
5 201634
6 202033
7 202225
8 201222
9 201615
10 202210
11 20229
12 20219
13 20248
14 20178
15 20208
16 20176
17 20206
18 20225
19 20173
20 20213

About Benoît Kabamba

Benoît Kabamba is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Parasitology and Molecular Biology, having authored 30 papers that have together received 540 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Vector-borne infectious diseases (6 papers), Hepatitis C virus research (5 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Viral Infections and Vectors (3 papers), Vector-Borne Animal Diseases (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Infectious Diseases (314 citations), Parasitology (114 citations), Hepatology (67 citations), Epidemiology (91 citations) and Transplantation (7 citations). Benoît Kabamba has collaborated with scholars based in Belgium, Democratic Republic of the Congo and United States. Frequent co-authors include Annie Robert, Sophie Vanwambeke, V. Luyasu, Hector Rodriguez‐Villalobos, Isabel Montesinos, Olivier Vandenberg, Vincenzo Carbone, Fleur Wolff, Reza Soleimani and Hafid Dahma. Their work appears in journals such as Kidney Medicine, Journal of Medical Virology, Viruses, Journal of Clinical Virology and Journal of Proteome Research.

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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