Wim Verreth

904 total citations
9 papers, 756 citations indexed

About

Wim Verreth is a scholar working on Molecular Biology, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Wim Verreth has authored 9 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Clinical Biochemistry. Recurrent topics in Wim Verreth's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Paraoxonase enzyme and polymorphisms (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Wim Verreth is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Paraoxonase enzyme and polymorphisms (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Wim Verreth collaborates with scholars based in Belgium, United Kingdom and United States. Wim Verreth's co-authors include Paul Holvoet, Bharti Mackness, Mike Mackness, Rozenn Quarck, Ann Mertens, Jean‐Luc Balligand, Ewa Ninio, Peter Verhamme, John K. Bielicki and Marie‐Christine Herregods and has published in prestigious journals such as Circulation, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Wim Verreth

9 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Verreth Belgium 9 197 180 162 153 153 9 756
Fedra Luciano‐Mateo Spain 17 112 0.6× 141 0.8× 250 1.5× 115 0.8× 78 0.5× 35 676
Lucas Opazo-Ríos Spain 12 122 0.6× 155 0.9× 347 2.1× 111 0.7× 200 1.3× 20 1.0k
Tomoko Matsuo Japan 8 159 0.8× 67 0.4× 253 1.6× 93 0.6× 130 0.8× 8 671
J Miyagawa Japan 7 93 0.5× 455 2.5× 224 1.4× 318 2.1× 308 2.0× 10 1.1k
Elizabeth Carreón‐Torres Mexico 17 86 0.4× 111 0.6× 144 0.9× 162 1.1× 223 1.5× 47 656
Subhrojit Sen India 15 165 0.8× 109 0.6× 431 2.7× 70 0.5× 312 2.0× 20 1.1k
Anik Girard-Globa France 20 180 0.9× 103 0.6× 139 0.9× 330 2.2× 359 2.3× 54 936
J Hilgertová Czechia 15 159 0.8× 73 0.4× 161 1.0× 133 0.9× 262 1.7× 47 700
Mai‐Ann Duess United States 7 94 0.5× 154 0.9× 329 2.0× 61 0.4× 66 0.4× 8 798
Kazuo Kotani Japan 15 38 0.2× 87 0.5× 163 1.0× 247 1.6× 146 1.0× 26 761

Countries citing papers authored by Wim Verreth

Since Specialization
Citations

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

Fields of papers citing papers by Wim Verreth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim Verreth. 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 Wim Verreth. The network helps show where Wim Verreth may publish in the future.

Co-authorship network of co-authors of Wim Verreth

This figure shows the co-authorship network connecting the top 25 collaborators of Wim Verreth. A scholar is included among the top collaborators of Wim Verreth 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 Wim Verreth. Wim Verreth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bergh, An Van den, Annelies Vanderper, Peter Vangheluwe, et al.. (2007). Dyslipidaemia in type II diabetic mice does not aggravate contractile impairment but increases ventricular stiffness. Cardiovascular Research. 77(2). 371–379. 64 indexed citations
2.
Guns, Pieter‐Jan, Tim Van Assche, Wim Verreth, et al.. (2007). Paraoxonase 1 gene transfer lowers vascular oxidative stress and improves vasomotor function in apolipoprotein E‐deficient mice with pre‐existing atherosclerosis. British Journal of Pharmacology. 153(3). 508–516. 45 indexed citations
3.
Verreth, Wim, Dieuwke De Keyzer, Benjamine Geeraert, et al.. (2007). Rosuvastatin restores superoxide dismutase expression and inhibits accumulation of oxidized LDL in the aortic arch of obese dyslipidemic mice. British Journal of Pharmacology. 151(3). 347–355. 40 indexed citations
4.
Desjardins, Fanny, Belaïd Sekkali, Wim Verreth, et al.. (2007). Rosuvastatin increases vascular endothelial PPARγ expression and corrects blood pressure variability in obese dyslipidaemic mice. European Heart Journal. 29(1). 128–137. 42 indexed citations
5.
Taleb, Soraya, Olivier Herbin, Hafid Ait‐Oufella, et al.. (2007). Defective Leptin/Leptin Receptor Signaling Improves Regulatory T Cell Immune Response and Protects Mice From Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 27(12). 2691–2698. 129 indexed citations
6.
Mackness, Bharti, Rozenn Quarck, Wim Verreth, Mike Mackness, & Paul Holvoet. (2006). Human Paraoxonase-1 Overexpression Inhibits Atherosclerosis in a Mouse Model of Metabolic Syndrome. Arteriosclerosis Thrombosis and Vascular Biology. 26(7). 1545–1550. 151 indexed citations
7.
Verreth, Wim, Javier Gáname, Ann Mertens, et al.. (2006). Peroxisome Proliferator-Activated Receptor-α,γ-Agonist Improves Insulin Sensitivity and Prevents Loss of Left Ventricular Function in Obese Dyslipidemic Mice. Arteriosclerosis Thrombosis and Vascular Biology. 26(4). 922–928. 29 indexed citations
8.
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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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