Jacques Vervoort

12.2k total citations
232 papers, 9.4k citations indexed

About

Jacques Vervoort is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Jacques Vervoort has authored 232 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 25 papers in Plant Science and 24 papers in Biochemistry. Recurrent topics in Jacques Vervoort's work include Metabolomics and Mass Spectrometry Studies (35 papers), Pharmacogenetics and Drug Metabolism (21 papers) and Metabolism and Genetic Disorders (16 papers). Jacques Vervoort is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (35 papers), Pharmacogenetics and Drug Metabolism (21 papers) and Metabolism and Genetic Disorders (16 papers). Jacques Vervoort collaborates with scholars based in Netherlands, United States and United Kingdom. Jacques Vervoort's co-authors include Ivonne M.C.M. Rietjens, Sjef Boeren, Marelle G. Boersma, R.J. Bino, Sofia Moco, Ric C. H. de Vos, Willem J. H. van Berkel, P.J.G.M. de Wit, Lars Ridder and Justin J. J. van der Hooft and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Jacques Vervoort

228 papers receiving 9.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacques Vervoort 4.5k 1.9k 995 821 770 232 9.4k
Yukihiro Goda 3.2k 0.7× 1.8k 0.9× 764 0.8× 370 0.5× 761 1.0× 348 9.3k
Peter J. van Bladeren 4.7k 1.0× 1.1k 0.6× 800 0.8× 760 0.9× 523 0.7× 243 9.8k
Shao‐Nong Chen 3.5k 0.8× 1.4k 0.7× 750 0.8× 268 0.3× 619 0.8× 229 8.2k
Hermann Stuppner 5.3k 1.2× 3.7k 1.9× 1.2k 1.2× 451 0.5× 1.7k 2.2× 358 11.5k
Willem J. H. van Berkel 7.4k 1.6× 2.5k 1.3× 392 0.4× 644 0.8× 756 1.0× 314 12.7k
Eduarda Fernandes 3.0k 0.7× 1.8k 0.9× 2.0k 2.0× 787 1.0× 1.1k 1.4× 262 11.3k
Kunio Yagi 3.3k 0.7× 1.3k 0.7× 840 0.8× 842 1.0× 475 0.6× 321 8.6k
Kazuo Yamasaki 5.8k 1.3× 3.2k 1.6× 707 0.7× 738 0.9× 980 1.3× 374 10.7k
Guido F. Pauli 6.4k 1.4× 2.9k 1.5× 1.4k 1.4× 465 0.6× 1.4k 1.9× 297 14.5k
Mou‐Tuan Huang 5.5k 1.2× 1.3k 0.7× 2.1k 2.1× 662 0.8× 882 1.1× 106 11.3k

Countries citing papers authored by Jacques Vervoort

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Vervoort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Vervoort

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Vervoort. A scholar is included among the top collaborators of Jacques Vervoort 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 Jacques Vervoort. Jacques Vervoort 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.
2.
Diepen, Janna A. van, Maciej Chichlowski, Clive J. Petry, et al.. (2023). Butyrate in Human Milk: Associations with Milk Microbiota, Milk Intake Volume, and Infant Growth. Nutrients. 15(4). 916–916. 7 indexed citations
3.
Boeren, Sjef, et al.. (2023). The hierarchy of sugar catabolization in Lactococcus cremoris. Microbiology Spectrum. 11(6). e0224823–e0224823. 3 indexed citations
4.
Liu, Chen, Jacques Vervoort, Karsten Beekmann, et al.. (2020). Interindividual Differences in Human Intestinal Microbial Conversion of (−)-Epicatechin to Bioactive Phenolic Compounds. Journal of Agricultural and Food Chemistry. 68(48). 14168–14181. 36 indexed citations
5.
Xu, Wei, et al.. (2020). Metabolomics of Milk Reflects a Negative Energy Balance in Cows. Journal of Proteome Research. 19(8). 2942–2949. 53 indexed citations
6.
Xu, Wei, et al.. (2020). Relationship between energy balance and metabolic profiles in plasma and milk of dairy cows in early lactation. Journal of Dairy Science. 103(5). 4795–4805. 46 indexed citations
7.
Prentice, Philippa, Marieke H. Schoemaker, Jacques Vervoort, et al.. (2019). Human Milk Short-Chain Fatty Acid Composition is Associated with Adiposity Outcomes in Infants. Journal of Nutrition. 149(5). 716–722. 73 indexed citations
8.
Prinsloo, Gerhard, Francois Steffens, Jacques Vervoort, & Ivonne M.C.M. Rietjens. (2019). Risk assessment of herbal supplements containing ingredients that are genotoxic and carcinogenic. Critical Reviews in Toxicology. 49(7). 567–579. 13 indexed citations
9.
Hu, Hao, Jinjin Li, Thierry Delatte, et al.. (2018). Modification of chrysanthemum odour and taste with chrysanthemol synthase induces strong dual resistance against cotton aphids. Plant Biotechnology Journal. 16(8). 1434–1445. 31 indexed citations
10.
Janssen, Aafke W. F., Tom Houben, Saeed Katiraei, et al.. (2017). Modulation of the gut microbiota impacts nonalcoholic fatty liver disease: a potential role for bile acids. Journal of Lipid Research. 58(7). 1399–1416. 97 indexed citations
11.
Gastelen, Sanne van, et al.. (2016). Milk metabolome relates enteric methane emission to milk synthesis and energy metabolism pathways. Journal of Dairy Science. 99(8). 6251–6262. 22 indexed citations
12.
Zhang, Lina, Sjef Boeren, Jos A. Hageman, et al.. (2015). Perspective on calf and mammary gland development through changes in the bovine milk proteome over a complete lactation. Journal of Dairy Science. 98(8). 5362–5373. 36 indexed citations
13.
Hil, E.F. Hoek–van den, Jaap Keijer, Annelies Bunschoten, et al.. (2013). Correction: Quercetin Induces Hepatic Lipid Omega-Oxidation and Lowers Serum Lipid Levels in Mice. PLoS ONE. 8(9). 16 indexed citations
14.
İnce, İkbal Agah, Sjef Boeren, Monique M. van Oers, Jacques Vervoort, & Just M. Vlak. (2010). Proteomic analysis of Chilo iridescent virus. Virology. 405(1). 253–258. 36 indexed citations
15.
Kamp, Marc W. van der, Jacques Vervoort, Jules Beekwilder, et al.. (2010). Affinity of Avr2 for tomato cysteine protease Rcr3 correlates with the Avr2‐triggered Cf‐2‐mediated hypersensitive response. Molecular Plant Pathology. 12(1). 21–30. 22 indexed citations
16.
Berg, Hans van den, Jacques Vervoort, Paul van der Saag, et al.. (2008). Influence of Cellular ERα/ERβ Ratio on the ERα-Agonist Induced Proliferation of Human T47D Breast Cancer Cells. Toxicological Sciences. 105(2). 303–311. 106 indexed citations
17.
Moco, Sofia, Jacques Vervoort, Sofia Moco, et al.. (2007). Metabolomics technologies and metabolite identification. TrAC Trends in Analytical Chemistry. 26(9). 855–866. 280 indexed citations
18.
Баскунов, Б. П., Marelle G. Boersma, Sjef Boeren, et al.. (2002). Reductive deamination as a new step in the anaerobic microbial degradation of halogenated anilines. FEMS Microbiology Letters. 209(2). 307–312. 24 indexed citations
19.
Berg, Axel, Jacques Vervoort, & Aart de Kok. (1997). Three‐Dimensional Structure in Solution of the N‐Terminal Lipoyl Domain of the Pyruvate Dehydrogenase Complex from Azotobacter vinelandii. European Journal of Biochemistry. 244(2). 352–360. 39 indexed citations
20.
Kamm, Y.J.L., Arend Heerschap, G. Rosenbusch, et al.. (1996). 5-Fluorouracil metabolite patterns in viable and necrotic tumor areas of murine colon carcinoma determined by in vitro 19F NMR spectroscopy.. Magnetic Resonance Imaging. 36. 445–450. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yukihiro Goda Breakdown of academic impact, for papers by Peter J. van Bladeren Breakdown of academic impact, for papers by Shao‐Nong Chen Breakdown of academic impact, for papers by Hermann Stuppner Breakdown of academic impact, for papers by Willem J. H. van Berkel Breakdown of academic impact, for papers by Eduarda Fernandes Breakdown of academic impact, for papers by Kunio Yagi Breakdown of academic impact, for papers by Kazuo Yamasaki Breakdown of academic impact, for papers by Guido F. Pauli Breakdown of academic impact, for papers by Mou‐Tuan Huang
Rankless by CCL
2026