Stéphane De Wit

1.4k citations
38 papers · 734 · h-index 13

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • HIV/AIDS drug development and treatment 10
    • HIV/AIDS Research and Interventions 5
    • Viral Infections and Vectors 2
    • SARS-CoV-2 and COVID-19 Research 2
    • Pneumocystis jirovecii pneumonia detection and treatment 4
    • Virology and Viral Diseases 2

Stéphane De Wit

36 papers receiving 719 citations

Peers

Stéphane De Wit
Comparison fields: 5 of 62
  • Virology 184
  • Infectious Diseases 405
  • Emergency Medicine 112
  • Hepatology 53
  • Modeling and Simulation 15
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Citations per field
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Citations per year

Countries citing papers authored by Stéphane De Wit

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane De Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stéphane De Wit. 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 Stéphane De Wit. The network helps show where Stéphane De Wit may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020178
2 202281
3 202064
4
Operative strategy in laparoscopic splenectomy.
199455
5 201550
6 202039
7 201032
8 199125
9 201021
10 201520
11 201220
12 202315
13 201415
14 202012
15
Use of hydroxyurea in heavily pretreated patients with HIV infection.
199912
16 202011
17 202210
18 20228
19 20218
20 20177

About Stéphane De Wit

Stéphane De Wit is a scholar working on Infectious Diseases, Epidemiology, Virology, Surgery and Immunology, having authored 38 papers that have together received 734 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (10 papers), HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Virology and Viral Diseases (2 papers), Hepatitis C virus research (2 papers), Viral Infections and Vectors (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Virology (184 citations), Infectious Diseases (405 citations), Emergency Medicine (112 citations), Hepatology (53 citations) and Modeling and Simulation (15 citations). Stéphane De Wit has collaborated with scholars based in Belgium, United Kingdom and France. Frequent co-authors include Éric Florence, Mounir Ait‐Khaled, Olayemi Osiyemi, Keith A. Pappa, Christoph Wyen, Jean van Wyk, Brian Wynne, Jonathan Wright, Ruolan Wang and Kimberly Y. Smith. Their work appears in journals such as HIV Medicine, Journal of the International AIDS Society, Clinical Infectious Diseases, AIDS and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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