S. De Wit
Impact in
- Emergency Medicine top 0.5%
- HIV-related health complications and treatments
- Virology top 2%
- HIV Research and Treatment
Papers in
-
- HIV/AIDS drug development and treatment 4
- HIV/AIDS Research and Interventions 2
- Tuberculosis Research and Epidemiology 1
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Jens Lundgren (2 shared papers)Caroline Sabin (2 shared papers)Matthew Law (2 shared papers)Antonella d’Arminio Monforte (2 shared papers)Peter Reiss (2 shared papers)Christian Pradier (2 shared papers)S Mateu (1 shared paper)Nina Friis‐Møller (1 shared paper)
- Journals
- Journal of the International AIDS Society (1 paper)European Journal of Epidemiology (1 paper)Biomedicine & Pharmacotherapy (1 paper)AIDS (1 paper)Antiviral Therapy (1 paper)
- Partner nations
- BelgiumDenmarkSwitzerland
In The Last Decade
S. De Wit
6 papers receiving 841 citations
S. De Wit's Hit Papers
Peers
Comparison fields: 5 of 61
- Emergency Medicine 674
- Virology 234
- Infectious Diseases 343
- Endocrinology, Diabetes and Metabolism 58
- Epidemiology 84
Countries citing papers authored by S. De Wit
This map shows the geographic impact of S. 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 S. 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 S. De Wit more than expected).
Fields of papers citing papers by S. De Wit
This network shows the impact of papers produced by S. 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 S. De Wit. The network helps show where S. De Wit may publish in the future.
Co-authors
The 25 scholars most cited alongside S. 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 | 799 |
| 2 | 1987 | 21 | |
| 3 | 2015 | 16 | |
| 4 | 2000 | 16 | |
| 5 | 2018 | 15 | |
| 6 | 2008 | 1 |
About S. De Wit
S. De Wit is a scholar working on Infectious Diseases, Virology, Emergency Medicine, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 6 papers that have together received 868 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), HIV/AIDS Research and Interventions (2 papers), HIV Research and Treatment (2 papers), HIV-related health complications and treatments (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), T-cell and Retrovirus Studies (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Emergency Medicine (674 citations), Virology (234 citations), Infectious Diseases (343 citations), Endocrinology, Diabetes and Metabolism (58 citations) and Epidemiology (84 citations). S. De Wit has collaborated with scholars based in Belgium, Denmark and Switzerland. Frequent co-authors include Jens Lundgren, Caroline Sabin, Matthew Law, Antonella d’Arminio Monforte, Peter Reiss, Christian Pradier, S Mateu, Nina Friis‐Møller, Andrew Phillips and Rainer Weber. Their work appears in journals such as Journal of the International AIDS Society, European Journal of Epidemiology, Biomedicine & Pharmacotherapy, AIDS and Antiviral Therapy.
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.