S. De Wit

1.9k citations
6 papers · 869 indexed · 1 hit paper · h-index 5

Impact in

Papers in

    • HIV Research and Treatment 2
    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 2
    • Tuberculosis Research and Epidemiology 1

S. De Wit

6 papers receiving 839 citations

Hit Papers

Cardiovascular disease risk factors in HIV patients – association with antiretroviral therapy. Results from the DAD study 2003 · 802 citations
8022003202620102018250500750

Peers

S. De Wit
Comparison fields: 5 of 70
  • Virology 368
  • Emergency Medicine 741
  • Infectious Diseases 577
  • Endocrinology, Diabetes and Metabolism 111
  • Epidemiology 122
Replace S Mateu with:
S Mateu Denmark
Marisa Tungsiripat United States
Jules Levin United States
Jesús Santos Spain
J Gerstoft Denmark
Belinda Ha United States
Daria Pocaterra Italy
H C Bucher Switzerland
Beverly Alston‐Smith United States
F. Raffi France
S. De Wit relative to S Mateu Denmark S Mateu's profile →
Citations per field
00.5×1.5×
S Mateu · 1×
Citations per year

Countries citing papers authored by S. De Wit

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with S. De Wit Line = papers co-authored together S. De Wit links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201814
2 201515
3 20081
4
Cardiovascular disease risk factors in HIV patients – association with antiretroviral therapy. Results from the DAD study
Hit paper breakdown →
2003802
5 200016
6 198721

About S. De Wit

S. De Wit is a scholar working on Virology, Infectious Diseases, Emergency Medicine, Hepatology and Agronomy and Crop Science, having authored 6 papers that have together received 869 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), HIV-related health complications and treatments (2 papers), Antibiotics Pharmacokinetics and Efficacy (1 paper), T-cell and Retrovirus Studies (1 paper), Tuberculosis Research and Epidemiology (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Virology (368 citations), Emergency Medicine (741 citations), Infectious Diseases (577 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Epidemiology (122 citations). S. De Wit has collaborated with scholars based in Belgium, Denmark and Australia. Frequent co-authors include Peter Reiss, Matthew Law, Caroline Sabin, Antonella d’Arminio Monforte, Christian Pradier, Jens Lundgren, Andrew Phillips, Nina Friis‐Møller, S Mateu and Rodolphe Thiébaut. Their work appears in journals such as The International Journal of Tuberculosis and Lung Disease, AIDS, Journal of the International AIDS Society, Biomedicine & Pharmacotherapy 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.

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