Benoît Kabamba

1.5k citations
61 papers · 1.2k · h-index 16

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • Tuberculosis Research and Epidemiology
    • Vector-borne infectious diseases

Papers in

    • SARS-CoV-2 and COVID-19 Research 12
    • COVID-19 Clinical Research Studies 8
    • HIV/AIDS Research and Interventions 3
    • Vector-borne infectious diseases 12

Benoît Kabamba

56 papers receiving 1.2k citations

Peers

Benoît Kabamba
Comparison fields: 5 of 81
  • Infectious Diseases 586
  • Parasitology 158
  • Nephrology 106
  • Virology 46
  • Transplantation 30
Replace Amel Omezzine Letaief with:
Amel Omezzine Letaief Tunisia
Morgane Solis France
Anna Grzeszczuk Poland
Beatriz Sánchez Spain
Carla Pagliari Brazil
Julio Mendez United States
Senu K. Apewokin United States
Marcelo Corti Argentina
Esther Benamu United States
Lewellys F. Barker United States
Benoît Kabamba relative to Amel Omezzine Letaief Tunisia Amel Omezzine Letaief's profile →
Citations per field
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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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020219
2 2020182
3 201679
4 200974
5 201253
6 201543
7 201837
8 201636
9 202036
10 200534
11 202030
12 202228
13 201024
14 202124
15 201221
16 201119
17 201116
18 201615
19 200613
20 202113

About Benoît Kabamba

Benoît Kabamba is a scholar working on Infectious Diseases, Parasitology, Hepatology, Epidemiology and Virology, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (12 papers), SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (8 papers), Hepatitis B Virus Studies (7 papers), HIV Research and Treatment (4 papers), Hepatitis C virus research (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Infectious Diseases (586 citations), Parasitology (158 citations), Nephrology (106 citations), Virology (46 citations) and Transplantation (30 citations). Benoît Kabamba has collaborated with scholars based in Belgium, Democratic Republic of the Congo and France. Frequent co-authors include Patrick Goubau, Monique Bodéus, Hector Rodriguez‐Villalobos, Annie R Robert, Sophie Vanwambeke, V. Luyasu, Nada Kanaan, Damien Gruson, Reza Soleimani and Fleur Wolff. Their work appears in journals such as Journal of Clinical Virology, Transplantation, BMC Infectious Diseases, Viruses and Kidney Medicine.

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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