Wout Slob

7.7k total citations
140 papers, 5.5k citations indexed

About

Wout Slob is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Plant Science. According to data from OpenAlex, Wout Slob has authored 140 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Health, Toxicology and Mutagenesis, 49 papers in Cancer Research and 22 papers in Plant Science. Recurrent topics in Wout Slob's work include Effects and risks of endocrine disrupting chemicals (55 papers), Carcinogens and Genotoxicity Assessment (48 papers) and Toxic Organic Pollutants Impact (30 papers). Wout Slob is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (55 papers), Carcinogens and Genotoxicity Assessment (48 papers) and Toxic Organic Pollutants Impact (30 papers). Wout Slob collaborates with scholars based in Netherlands, United Kingdom and United States. Wout Slob's co-authors include Tom Aldenberg, Moniek N. Pieters, Aldert H. Piersma, Bas Bokkers, Hilko van der Voet, R. Woodrow Setzer, Leo T.M. van der Ven, Lya G. Soeteman‐Hernández, George E. Johnson and Betty C. Hakkert and has published in prestigious journals such as Journal of Hazardous Materials, Brain Research and Environmental Health Perspectives.

In The Last Decade

Wout Slob

138 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wout Slob Netherlands	45	2.9k	1.5k	753	695	645	140	5.5k
Helmut Greim Germany	48	2.8k 1.0×	1.7k 1.2×	851 1.1×	945 1.4×	1.5k 2.3×	288	8.4k
W. Dekant Germany	50	3.6k 1.2×	2.0k 1.4×	737 1.0×	789 1.1×	2.2k 3.4×	255	8.6k
Jean‐Pierre Cravedi France	45	3.3k 1.1×	891 0.6×	750 1.0×	1.3k 1.8×	1.3k 2.0×	167	7.4k
John R. Bucher United States	41	2.8k 0.9×	1.4k 1.0×	533 0.7×	502 0.7×	1.5k 2.3×	163	7.1k
Michael L. Dourson United States	31	2.0k 0.7×	966 0.7×	509 0.7×	420 0.6×	262 0.4×	111	3.7k
V.J. Feron Netherlands	42	1.8k 0.6×	1.3k 0.9×	884 1.2×	286 0.4×	1.1k 1.6×	159	5.7k
Anne Marie Vinggaard Denmark	55	5.7k 2.0×	1.3k 0.9×	878 1.2×	1.5k 2.1×	1.3k 2.1×	139	8.7k
Douglas C. Wolf United States	42	1.6k 0.6×	1.1k 0.7×	457 0.6×	325 0.5×	1.4k 2.2×	209	5.8k
Rory B. Conolly United States	38	2.1k 0.7×	1.5k 1.0×	472 0.6×	386 0.6×	910 1.4×	135	4.8k
Gunnar Brunborg Norway	41	1.7k 0.6×	1.8k 1.2×	721 1.0×	443 0.6×	1.7k 2.7×	128	5.4k

Countries citing papers authored by Wout Slob

Since Specialization

Citations

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

Fields of papers citing papers by Wout Slob

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wout Slob

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

All Works

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20 of 20 papers shown

Slob, Wout, Martine Bakker, Bas Bokkers, et al.. (2025). The use of canonical dose–response models for benchmark dose analysis of continuous toxicological data. Critical Reviews in Toxicology. 55(4). 437–461.

Braakhuis, Hedwig, Peter T. Theunissen, Wout Slob, Emiel Rorije, & Aldert H. Piersma. (2019). Testing developmental toxicity in a second species: are the differences due to species or replication error?. Regulatory Toxicology and Pharmacology. 107. 104410–104410. 10 indexed citations

Slob, Wout. (2018). Joint project on Benchmark Dose modelling with RIVM. EFSA Supporting Publications. 15(12). 27 indexed citations

Staal, Yvonne C.M., Jeroen Meijer, Eric R. Gremmer, et al.. (2018). Head skeleton malformations in zebrafish (Danio rerio) to assess adverse effects of mixtures of compounds. Archives of Toxicology. 92(12). 3549–3564. 57 indexed citations

Beronius, Anna, Laurent Bodin, Bas Bokkers, et al.. (2017). Evaluating the evidence for non-monotonic dose-response relationships: A systematic literature review and (re-)analysis of in vivo toxicity data in the area of food safety. Toxicology and Applied Pharmacology. 339. 10–23. 26 indexed citations

Soeteman‐Hernández, Lya G., Mick D. Fellows, George E. Johnson, & Wout Slob. (2015). Correlation ofIn VivoVersusIn VitroBenchmark Doses (BMDs) Derived From Micronucleus Test Data: A Proof of Concept Study. Toxicological Sciences. 148(2). 355–367. 23 indexed citations

Slob, Wout. (2014). Benchmark dose and the three Rs. Part I. Getting more information from the same number of animals. Critical Reviews in Toxicology. 44(7). 557–567. 40 indexed citations

Vandebriel, Rob J., Hilda J.I. de Jong, Eric R. Gremmer, et al.. (2012). Statins accelerate the onset of collagen type II-induced arthritis in mice. Arthritis Research & Therapy. 14(2). R90–R90. 19 indexed citations

Dekkers, Arnold & Wout Slob. (2012). Gaussian Quadrature is an efficient method for the back-transformation in estimating the usual intake distribution when assessing dietary exposure. Food and Chemical Toxicology. 50(10). 3853–3861. 7 indexed citations

10.

Benford, D., P. Michael Bolger, Myriam Coulet, et al.. (2010). Special Issue: Application of the Margin of Exposure (MoE) Approach to Substances in Food that are Genotoxic and Carcinogenic.. Food and Chemical Toxicology. 48. 11 indexed citations

11.

Bosgra, Sieto, J.C.H. van Eijkeren, & Wout Slob. (2009). Dose addition and the isobole method as approaches for predicting the cumulative effect of non-interacting chemicals: A critical evaluation. Critical Reviews in Toxicology. 39(5). 418–426. 22 indexed citations

12.

Bosgra, Sieto, J.C.H. van Eijkeren, Marcel J. van der Schans, Jan P. Langenberg, & Wout Slob. (2009). Toxicodynamic analysis of the combined cholinesterase inhibition by paraoxon and methamidophos in human whole blood. Toxicology and Applied Pharmacology. 236(1). 9–15. 13 indexed citations

13.

Bosgra, Sieto, J.C.H. van Eijkeren, Marcel J. van der Schans, Jan P. Langenberg, & Wout Slob. (2009). Toxicodynamic analysis of the inhibition of isolated human acetylcholinesterase by combinations of methamidophos and methomyl in vitro. Toxicology and Applied Pharmacology. 236(1). 1–8. 8 indexed citations

14.

Piersma, Aldert H., Gemma Janer, Gerrit Wolterink, et al.. (2007). Quantitative Extrapolation of In Vitro Whole Embryo Culture Embryotoxicity Data to Developmental Toxicity In Vivo Using the Benchmark Dose Approach. Toxicological Sciences. 101(1). 91–100. 38 indexed citations

15.

Janer, Gemma, Betty C. Hakkert, Wout Slob, Theo Vermeire, & Aldert H. Piersma. (2007). A retrospective analysis of the two-generation study: What is the added value of the second generation?. Reproductive Toxicology. 24(1). 97–102. 46 indexed citations

16.

Ven, Leo T.M. van der, Ton van de Kuil, Aart Verhoef, et al.. (2007). A 28-day oral dose toxicity study enhanced to detect endocrine effects of a purified technical pentabromodiphenyl ether (pentaBDE) mixture in Wistar rats. Toxicology. 245(1-2). 109–122. 73 indexed citations

17.

Slob, Wout. (2006). Probabilistic dietary exposure assessment taking into account variability in both amount and frequency of consumption. Food and Chemical Toxicology. 44(7). 933–951. 49 indexed citations

18.

Edler, Lutz, Kenneth A. Poirier, Michael L. Dourson, et al.. (2002). Mathematical modelling and quantitative methods. Food and Chemical Toxicology. 40(2-3). 283–326. 82 indexed citations

19.

Pieters, Moniek N., et al.. (2002). Risk Assessment of Deoxynivalenol in Food: Concentration Limits, Exposure and Effects. Advances in experimental medicine and biology. 504. 235–248. 52 indexed citations

20.

Slob, Wout, et al.. (1996). Conversion Factors Estimating Indicative Chronic No-Observed-Adverse-Effect Levels from Short-Term Toxicity Data. Regulatory Toxicology and Pharmacology. 23(3). 249–255. 54 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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