Ilja C.W. Arts

12.0k total citations · 2 hit papers
126 papers, 8.3k citations indexed

About

Ilja C.W. Arts is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Ilja C.W. Arts has authored 126 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 32 papers in Pathology and Forensic Medicine and 31 papers in Physiology. Recurrent topics in Ilja C.W. Arts's work include Phytochemicals and Antioxidant Activities (22 papers), Diet and metabolism studies (20 papers) and Phytoestrogen effects and research (20 papers). Ilja C.W. Arts is often cited by papers focused on Phytochemicals and Antioxidant Activities (22 papers), Diet and metabolism studies (20 papers) and Phytoestrogen effects and research (20 papers). Ilja C.W. Arts collaborates with scholars based in Netherlands, United States and Germany. Ilja C.W. Arts's co-authors include P.C.H. Hollman, John Penders, Edith J. M. Feskens, I.E.J. Milder, Daan Kromhout, Jaap Keijer, David Barnett, Vincent C. J. de Boer, Dini P. Venema and Aloys L.A. Sesink and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Ilja C.W. Arts

124 papers receiving 7.9k citations

Hit Papers

Polyphenols and disease r... 2005 2026 2012 2019 2005 2021 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Ilja C.W. Arts 2.9k 2.4k 2.0k 1.1k 1.1k 126 8.3k
Gunter Kuhnle 2.2k 0.8× 2.3k 1.0× 1.5k 0.8× 1.1k 1.0× 623 0.6× 122 7.9k
Joshua D. Lambert 3.4k 1.2× 2.3k 1.0× 4.4k 2.2× 827 0.7× 789 0.7× 135 9.6k
Susanne M. Henning 2.5k 0.9× 2.8k 1.2× 1.9k 1.0× 2.7k 2.5× 1.4k 1.3× 181 9.7k
William Mullen 4.3k 1.5× 3.2k 1.3× 1.7k 0.9× 1.3k 1.2× 1.7k 1.5× 168 10.4k
Mireia Urpí-Sardà 2.0k 0.7× 2.5k 1.1× 1.4k 0.7× 1.2k 1.1× 463 0.4× 101 6.8k
Shengmin Sang 4.1k 1.4× 3.5k 1.5× 3.7k 1.9× 1.2k 1.1× 2.0k 1.9× 242 12.6k
Patrizia Riso 2.9k 1.0× 2.3k 1.0× 707 0.4× 1.5k 1.4× 776 0.7× 182 7.6k
Ock K. Chun 3.3k 1.2× 1.6k 0.7× 869 0.4× 1.4k 1.3× 1.8k 1.7× 150 8.4k
Juan Duarte 2.3k 0.8× 3.5k 1.5× 770 0.4× 1.0k 0.9× 826 0.8× 190 9.6k
Patricia I. Oteiza 2.4k 0.8× 2.9k 1.2× 1.0k 0.5× 3.0k 2.7× 1.8k 1.7× 171 10.2k

Countries citing papers authored by Ilja C.W. Arts

Since Specialization
Citations

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

Fields of papers citing papers by Ilja C.W. Arts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ilja C.W. Arts. 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 Ilja C.W. Arts. The network helps show where Ilja C.W. Arts may publish in the future.

Co-authorship network of co-authors of Ilja C.W. Arts

This figure shows the co-authorship network connecting the top 25 collaborators of Ilja C.W. Arts. A scholar is included among the top collaborators of Ilja C.W. Arts 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 Ilja C.W. Arts. Ilja C.W. Arts 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.
Arts, Ilja C.W., et al.. (2025). The Matrix of Mitochondrial Imaging: Exploring Spatial Dimensions. Biomolecules. 15(2). 229–229. 1 indexed citations
4.
Barnett, David, Carel Thijs, Monique Mommers, et al.. (2025). Why do babies cry? Exploring the role of the gut microbiota in infantile colic, constipation, and cramps in the KOALA birth cohort study. Gut Microbes. 17(1). 2485326–2485326. 1 indexed citations
5.
Barnett, David, Fangjie Gu, Carel Thijs, et al.. (2023). Human milk oligosaccharides, antimicrobial drugs, and the gut microbiota of term neonates: observations from the KOALA birth cohort study. Gut Microbes. 15(1). 2164152–2164152. 27 indexed citations
6.
Westerhuis, Johan A., et al.. (2023). Analysis of high-dimensional metabolomics data with complex temporal dynamics using RM-ASCA+. PLoS Computational Biology. 19(6). e1011221–e1011221. 8 indexed citations
7.
Verdonschot, Job A.J., Kasper Derks, Han G. Brunner, et al.. (2023). Allele-specific expression analysis for complex genetic phenotypes applied to a unique dilated cardiomyopathy cohort. Scientific Reports. 13(1). 564–564. 3 indexed citations
9.
Trouwborst, Inez, Kelly M. Jardon, Els Siebelink, et al.. (2023). Cardiometabolic health improvements upon dietary intervention are driven by tissue-specific insulin resistance phenotype: A precision nutrition trial. Cell Metabolism. 35(1). 71–83.e5. 45 indexed citations
10.
Barnett, David, Ilja C.W. Arts, & John Penders. (2021). microViz: an R package for microbiome data visualization and statistics. The Journal of Open Source Software. 6(63). 3201–3201. 259 indexed citations breakdown →
11.
Vogelzangs, Nicole, Carla Kallen, Marleen M. J. van Greevenbroek, et al.. (2020). Metabolic profiling of tissue-specific insulin resistance in human obesity: results from the Diogenes study and the Maastricht Study. International Journal of Obesity. 44(6). 1376–1386. 48 indexed citations
12.
Kolk, Birgitta W. van der, Marianthi Kalafati, Michiel Adriaens, et al.. (2019). Subcutaneous Adipose Tissue and Systemic Inflammation Are Associated With Peripheral but Not Hepatic Insulin Resistance in Humans. Diabetes. 68(12). 2247–2258. 45 indexed citations
13.
Borewicz, Klaudyna, María Suárez‐Diez, Christine Hechler, et al.. (2019). The effect of prebiotic fortified infant formulas on microbiota composition and dynamics in early life. Scientific Reports. 9(1). 2434–2434. 71 indexed citations
14.
Lenz, Michael, Joerg Liebmann, Gökhan Ertaylan, et al.. (2019). Characterization of disease-specific cellular abundance profiles of chronic inflammatory skin conditions from deconvolution of biopsy samples. BMC Medical Genomics. 12(1). 121–121. 20 indexed citations
15.
Kolk, Birgitta W. van der, Nicole Vogelzangs, Johan W. E. Jocken, et al.. (2018). Plasma lipid profiling of tissue-specific insulin resistance in human obesity. International Journal of Obesity. 43(5). 989–998. 39 indexed citations
16.
Ertaylan, Gökhan, Charlotte Le Cornet, Eline H. van Roekel, et al.. (2017). A Comparative Study on the WCRF International/University of Bristol Methodology for Systematic Reviews of Mechanisms Underpinning Exposure–Cancer Associations. Cancer Epidemiology Biomarkers & Prevention. 26(11). 1583–1594. 8 indexed citations
17.
García-Larsen, Vanessa, S Chinn, Ilja C.W. Arts, Hugo Amigo, & Roberto J. Rona. (2007). Atopy, wheeze and bronchial responsiveness in young chilean adults. Do dietary antioxidants matter?. Allergy. 62(6). 714–715. 13 indexed citations
18.
Arts, Ilja C.W., et al.. (2003). Plant Foods versus Compounds in Carcinogenesis; Observational versus Experimental Human Studies. International Journal for Vitamin and Nutrition Research. 73(2). 70–78. 3 indexed citations
19.
Arts, Ilja C.W., Aloys L.A. Sesink, & P.C.H. Hollman. (2002). Lactase phlorizin hydrolase (LPH) is involved in the absorption of quercetin-3-glucoside. Free Radical Research. 36. 93–94. 1 indexed citations
20.
Tabak, C, Ilja C.W. Arts, Henriëtte A. Smit, Dick Heederik, & Daan Kromhout. (2001). Chronic Obstructive Pulmonary Disease and Intake of Catechins, Flavonols, and Flavones. American Journal of Respiratory and Critical Care Medicine. 164(1). 61–64. 196 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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