Stephan De Wit
Impact in
- Virology top 1%
- HIV Research and Treatment
- Emergency Medicine top 0.5%
- HIV-related health complications and treatments
Papers in
-
- HIV/AIDS drug development and treatment 4
- HIV/AIDS Research and Interventions 3
- Viral gastroenteritis research and epidemiology 1
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- HIV-related health complications and treatments 3
- Co-authors
- Caroline Anne Sabin (3 shared papers)PETER C. REISS (3 shared papers)Christian Pradier (3 shared papers)Jens Dilling Lundgren (3 shared papers)Antonella d’Arminio Monforte (3 shared papers)Matthew G. Law (3 shared papers)Wafaa M. El-Sadr (2 shared papers)S Mateu (1 shared paper)
In The Last Decade
Stephan De Wit
12 papers receiving 1.6k citations
Stephan De Wit's Hit Papers
Peers
Comparison fields: 5 of 74
- Virology 497
- Emergency Medicine 858
- Infectious Diseases 827
- Hepatology 64
- Epidemiology 201
Countries citing papers authored by Stephan De Wit
This map shows the geographic impact of Stephan 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 Stephan 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 Stephan De Wit more than expected).
Fields of papers citing papers by Stephan De Wit
This network shows the impact of papers produced by Stephan 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 Stephan De Wit. The network helps show where Stephan De Wit may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan De Wit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cardiovascular disease risk factors in HIV patients – association with antiretroviral therapy. Results from the DAD study Hit paper breakdown → | 2003 | 858 |
| 2 | 8th Conference on Retroviruses and Opportunistic Infections. Hit paper breakdown → | 2000 | 613 |
| 3 | 1987 | 24 | |
| 4 | 2015 | 22 | |
| 5 | 2014 | 22 | |
| 6 | 2018 | 20 | |
| 7 | 2024 | 19 | |
| 8 | 2024 | 19 | |
| 9 | 2000 | 18 | |
| 10 | 2011 | 14 | |
| 11 | 2018 | 7 | |
| 12 | 2024 | 2 | |
| 13 | 2015 | 0 |
About Stephan De Wit
Stephan De Wit is a scholar working on Infectious Diseases, Emergency Medicine, Virology, Immunology and Biotechnology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), HIV-related health complications and treatments (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV Research and Treatment (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), T-cell and Retrovirus Studies (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Virology (497 citations), Emergency Medicine (858 citations), Infectious Diseases (827 citations), Hepatology (64 citations) and Epidemiology (201 citations). Stephan De Wit has collaborated with scholars based in Belgium, France and Denmark. Frequent co-authors include Caroline Anne Sabin, PETER C. REISS, Christian Pradier, Jens Dilling Lundgren, Antonella d’Arminio Monforte, Matthew G. Law, Wafaa M. El-Sadr, S Mateu, Ole Kirk and Andrew N. Phillips. Their work appears in journals such as Clinical Infectious Diseases, Biomedicine & Pharmacotherapy, Antiviral Therapy, EClinicalMedicine and European Journal of Epidemiology.
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.