Wouter H. J. Vaes

3.6k total citations
74 papers, 3.0k citations indexed

About

Wouter H. J. Vaes is a scholar working on Molecular Biology, Analytical Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Wouter H. J. Vaes has authored 74 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Analytical Chemistry and 15 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Wouter H. J. Vaes's work include Analytical chemistry methods development (14 papers), Analytical Chemistry and Chromatography (11 papers) and Pharmacogenetics and Drug Metabolism (11 papers). Wouter H. J. Vaes is often cited by papers focused on Analytical chemistry methods development (14 papers), Analytical Chemistry and Chromatography (11 papers) and Pharmacogenetics and Drug Metabolism (11 papers). Wouter H. J. Vaes collaborates with scholars based in Netherlands, United States and United Kingdom. Wouter H. J. Vaes's co-authors include Joop L. M. Hermens, Eñaut Urrestarazu Ramos, Henk J. M. Verhaar, Philipp Mayer, Robin van den Berg, Martijn Vermeulen, Willem Seinen, Johannes Tolls, Andreas P. Freidig and Rik Kraaij and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Analytical Chemistry.

In The Last Decade

Wouter H. J. Vaes

74 papers receiving 2.9k citations

Peers

Wouter H. J. Vaes
Agata Kot‐Wasik Poland
Xiu‐Sheng Miao Canada
Rebekka Gulde Switzerland
Reza Aalizadeh Greece
Francesco Barbato Italy
Henk J. M. Verhaar Netherlands
William M. Meylan United States
Antonius Kettrup Germany
Junho Jeon South Korea
James Barker United Kingdom
Agata Kot‐Wasik Poland
Wouter H. J. Vaes
Citations per year, relative to Wouter H. J. Vaes Wouter H. J. Vaes (= 1×) peers Agata Kot‐Wasik

Countries citing papers authored by Wouter H. J. Vaes

Since Specialization
Citations

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

Fields of papers citing papers by Wouter H. J. Vaes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter H. J. Vaes. 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 Wouter H. J. Vaes. The network helps show where Wouter H. J. Vaes may publish in the future.

Co-authorship network of co-authors of Wouter H. J. Vaes

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

All Works

20 of 20 papers shown
1.
Dubbeld, Jeroen, Bart van Hoek, Aswin Menke, et al.. (2023). Novel Explanted Human Liver Model to Assess Hepatic Extraction, Biliary Excretion and Transporter Function. Clinical Pharmacology & Therapeutics. 114(1). 137–147. 7 indexed citations
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Wulkersdorfer, Beatrix, Peter Matzneller, Claudia Eder, et al.. (2022). Microdosing as a Potential Tool to Enhance Clinical Development of Novel Antibiotics: A Tissue and Plasma PK Feasibility Study with Ciprofloxacin. Clinical Pharmacokinetics. 61(5). 697–707. 6 indexed citations
4.
Zhu, Andy Z. X., Paresh P. Chothe, S. K. Chowdhury, et al.. (2021). Evaluation of Normothermic Machine Perfusion of Porcine Livers as a Novel Preclinical Model to Predict Biliary Clearance and Transporter-Mediated Drug-Drug Interactions Using Statins. Drug Metabolism and Disposition. 49(9). 780–789. 5 indexed citations
5.
Wang, Xiaomin, et al.. (2021). Quantification of azacitidine incorporation into human DNA/RNA by accelerator mass spectrometry as direct measure of target engagement. Journal of Pharmaceutical and Biomedical Analysis. 202. 114152–114152. 1 indexed citations
6.
Mooij, Miriam G., Esther van Duijn, Catherijne A. J. Knibbe, et al.. (2017). Successful Use of [14C]Paracetamol Microdosing to Elucidate Developmental Changes in Drug Metabolism. Clinical Pharmacokinetics. 56(10). 1185–1195. 19 indexed citations
7.
Nohynek, Gerhard J., Julie A. Skare, W.J.A. Meuling, et al.. (2015). Human systemic exposure to [14C]-paraphenylenediamine-containing oxidative hair dyes: Absorption, kinetics, metabolism, excretion and safety assessment. Food and Chemical Toxicology. 81. 71–80. 12 indexed citations
8.
Bosgra, Sieto, Maria L.H. Vlaming, & Wouter H. J. Vaes. (2015). To Apply Microdosing or Not? Recommendations to Single Out Compounds with Non-Linear Pharmacokinetics. Clinical Pharmacokinetics. 55(1). 1–15. 21 indexed citations
9.
Pasman, Wilrike J., H. Hendriks, Elwin Verheij, et al.. (2014). Dietary Medium Chain Fatty Acid Supplementation Leads to Reduced VLDL Lipolysis and Uptake Rates in Comparison to Linoleic Acid Supplementation. PLoS ONE. 9(7). e100376–e100376. 30 indexed citations
10.
Demmelmair, Hans, et al.. (2013). Folate Catabolites in Spot Urine as Non-Invasive Biomarkers of Folate Status during Habitual Intake and Folic Acid Supplementation. PLoS ONE. 8(2). e56194–e56194. 10 indexed citations
11.
Schrieks, Ilse C., Robin van den Berg, Aafje Sierksma, et al.. (2012). Effect of Red Wine Consumption on Biomarkers of Oxidative Stress. Alcohol and Alcoholism. 48(2). 153–159. 44 indexed citations
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Bobeldijk, I., et al.. (2005). Determination of kava lactones in food supplements by liquid chromatography–atmospheric pressure chemical ionisation tandem mass spectrometry. Journal of Chromatography A. 1067(1-2). 107–114. 15 indexed citations
14.
Berg, Robin van den, Trinette van Vliet, Wendy M.R. Broekmans, et al.. (2001). A Vegetable/Fruit Concentrate with High Antioxidant Capacity Has No Effect on Biomarkers of Antioxidant Status in Male Smokers. Journal of Nutrition. 131(6). 1714–1722. 106 indexed citations
15.
Escher, Beate I., et al.. (2001). Determination of liposome/water partition coefficients of organic acids and bases by solid-phase microextraction. The Analyst. 127(1). 42–48. 41 indexed citations
16.
Vaes, Wouter H. J., et al.. (2000). Validation of Negligible Depletion Solid-Phase Microextraction as a Tool to Determine Tissue/Blood Partition Coefficients for Semivolatile and Nonvolatile Organic Chemicals. Toxicology and Applied Pharmacology. 166(2). 138–144. 24 indexed citations
17.
Sinks, Glendon D., et al.. (1999). Bioavailability, Biodegradation, and Acclimation of Tetrahymena pyriformis to 1-Octanol. Ecotoxicology and Environmental Safety. 44(1). 86–91. 5 indexed citations
18.
Ramos, Eñaut Urrestarazu, Wouter H. J. Vaes, Philipp Mayer, & Joop L. M. Hermens. (1999). Algal growth inhibition of Chlorella pyrenoidosa by polar narcotic pollutants: toxic cell concentrations and QSAR modeling. Aquatic Toxicology. 46(1). 1–10. 28 indexed citations
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Sessink, P.J.M., Wouter H. J. Vaes, Petra H.H. van den Broek, J. Noordhoek, & R.P. Bos. (1995). Determination of cyclophosphamide metabolites by gas chromatography and thermionic specific detection Interindividual differences in hepatic biotransformation of cyclophosphamide in man in vitro. Journal of Chromatography B. 673. 205–212. 1 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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