S. De Wit

1.9k total citations · 1 hit paper
6 papers, 869 citations indexed

About

S. De Wit is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, S. De Wit has authored 6 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 2 papers in Virology and 2 papers in Epidemiology. Recurrent topics in S. De Wit's work include HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (2 papers) and HIV/AIDS Research and Interventions (2 papers). S. De Wit is often cited by papers focused on HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (2 papers) and HIV/AIDS Research and Interventions (2 papers). S. De Wit collaborates with scholars based in Belgium, Denmark and Australia. S. De Wit's 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 and has published in prestigious journals such as AIDS, Biomedicine & Pharmacotherapy and European Journal of Epidemiology.

In The Last Decade

S. De Wit

6 papers receiving 839 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cardiovascular disease risk factors in HIV patients – association with antiretroviral therapy. Results from the DAD study

2003 802 citations Nina Friis‐Møller, Rainer Weber et al. AIDS profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. De Wit Belgium	5	741	577	368	122	113	6	869
S Mateu Denmark	4	1.1k 1.6×	851 1.5×	585 1.6×	139 1.1×	162 1.4×	5	1.3k
Beverly Alston‐Smith United States	13	610 0.8×	421 0.7×	281 0.8×	329 2.7×	104 0.9×	23	1.0k
Marisa Tungsiripat United States	11	449 0.6×	306 0.5×	247 0.7×	96 0.8×	44 0.4×	14	576
Jesús Santos Spain	16	365 0.5×	563 1.0×	380 1.0×	226 1.9×	49 0.4×	55	875
J Gerstoft Denmark	9	352 0.5×	314 0.5×	217 0.6×	104 0.9×	46 0.4×	19	544
Henning Drechsler United States	14	532 0.7×	614 1.1×	382 1.0×	267 2.2×	73 0.6×	25	1.0k
Belinda Ha United States	15	801 1.1×	901 1.6×	637 1.7×	172 1.4×	37 0.3×	35	1.3k
Daria Pocaterra Italy	12	335 0.5×	257 0.4×	151 0.4×	47 0.4×	96 0.8×	21	438
Jules Levin United States	4	467 0.6×	255 0.4×	143 0.4×	83 0.7×	126 1.1×	8	568
F. Raffi France	6	304 0.4×	316 0.5×	139 0.4×	161 1.3×	53 0.5×	16	530

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 of co-authors of S. De Wit

This figure shows the co-authorship network connecting the top 25 collaborators of S. De Wit. A scholar is included among the top collaborators of S. De Wit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. De Wit. S. De Wit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Muylle, Inge, et al.. (2018). Meropenem-clavulanate for drug-resistant tuberculosis: a follow-up of relapse-free cases. The International Journal of Tuberculosis and Lung Disease. 22(1). 34–39. 14 indexed citations

2.

Kamara, David A, Colette Smith, Lene Ryom, et al.. (2015). Longitudinal Analysis of the Associations between Antiretroviral Therapy, Viraemia and Immunosuppression with Lipid Levels: The D:A:D Study. Antiviral Therapy. 21(6). 495–506. 15 indexed citations

3.

Wit, S. De, Marc Delforge, Kabamba Kabeya, Coca Necsoi, & Nathan Clumeck. (2008). Darunavir in patients who failed on fos-amprenavir: efficacy at week 48. Journal of the International AIDS Society. 11(Suppl 1). P48–P48. 1 indexed citations

4.

Friis‐Møller, Nina, Rainer Weber, Peter Reiss, et al.. (2003). Cardiovascular disease risk factors in HIV patients – association with antiretroviral therapy. Results from the DAD study. AIDS. 17(8). 1179–1193. 802 indexed citations breakdown →

5.

Clumeck, Nathan & S. De Wit. (2000). Update on highly active antiretroviral therapy: progress and strategies. Biomedicine & Pharmacotherapy. 54(1). 7–12. 16 indexed citations

6.

Perre, Philippe Van de, Nathan Clumeck, Marc Steens, et al.. (1987). Seroepidemiological study on sexually transmitted diseases and hepatitis B in African promiscuous heterosexuals in relation to HTLV-III infection. European Journal of Epidemiology. 3(1). 14–18. 21 indexed citations

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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