Benoît Kabamba

1.2k citations
29 papers · 517 indexed · 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 7
    • SARS-CoV-2 and COVID-19 Research 7
    • Viral Infections and Vectors 5
    • SARS-CoV-2 detection and testing 4
    • Hepatitis B Virus Studies 7

Benoît Kabamba

25 papers receiving 509 citations

Peers

Benoît Kabamba
Comparison fields: 5 of 74
  • Infectious Diseases 370
  • Parasitology 109
  • Hepatology 81
  • Transplantation 9
  • Neurology 47
Replace Eva Heger with:
Eva Heger Germany
Ralph Huits Belgium
Micha Löbermann Germany
Jaye P. Brodsky United States
Nadine Lübke Germany
Elisabeth Daghofer Austria
Floriana Bonura Italy
Ayça Arzu Sayıner Türkiye
Barbara Falkensammer Austria
Dürdal Us Türkiye
Benoît Kabamba relative to Eva Heger Germany Eva Heger's profile →
Citations per field
00.5×7.3×
Eva Heger · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020198
2 201248
3 201539
4 202033
5 201833
6 201632
7 202223
8 201219
9 201614
10 202210
11 20229
12 20219
13 20178
14 20208
15 20206
16 20176
17 20244
18 20224
19 20213
20 20173

About Benoît Kabamba

Benoît Kabamba is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Parasitology and Neurology, having authored 29 papers that have together received 517 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Hepatitis C virus research (6 papers), Vector-borne infectious diseases (6 papers), Viral Infections and Vectors (5 papers), Long-Term Effects of COVID-19 (4 papers) and SARS-CoV-2 detection and testing (4 papers). The work is most often cited by research in Infectious Diseases (370 citations), Parasitology (109 citations), Hepatology (81 citations), Transplantation (9 citations) and Neurology (47 citations). Benoît Kabamba has collaborated with scholars based in Belgium, Democratic Republic of the Congo and United States. Frequent co-authors include V. Luyasu, Annie Robert, Sophie Vanwambeke, Hector Rodriguez‐Villalobos, Fleur Wolff, Olivier Vandenberg, Damien Gruson, Sigi Van den Wijngaert, Reza Soleimani and Béatrice Gulbis. Their work appears in journals such as Journal of Medical Virology, Viruses, Kidney Medicine, Journal of Clinical Virology and Clinical Kidney Journal.

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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