Markus Frericks

585 total citations
23 papers, 336 citations indexed

About

Markus Frericks is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Markus Frericks has authored 23 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 7 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Markus Frericks's work include Effects and risks of endocrine disrupting chemicals (7 papers), Computational Drug Discovery Methods (6 papers) and Pesticide Exposure and Toxicity (4 papers). Markus Frericks is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (7 papers), Computational Drug Discovery Methods (6 papers) and Pesticide Exposure and Toxicity (4 papers). Markus Frericks collaborates with scholars based in Germany, United States and United Kingdom. Markus Frericks's co-authors include Charlotte Esser, Vladimir Temchura, Lyle D. Burgoon, Wolfgang Nacken, Timothy R. Zacharewski, Felix M. Kluxen, Marc Majora, Susanne Stutte, M Cronin and Steven J. Enoch and has published in prestigious journals such as The Science of The Total Environment, European Journal of Immunology and Toxicology and Applied Pharmacology.

In The Last Decade

Markus Frericks

21 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Frericks Germany	10	116	104	97	48	32	23	336
Todd J. Zurlinden United States	12	105 0.9×	32 0.3×	145 1.5×	30 0.6×	32 1.0×	22	387
Iris Camacho United States	8	163 1.4×	169 1.6×	108 1.1×	86 1.8×	10 0.3×	10	380
Frédéric Schorsch France	12	64 0.6×	36 0.3×	61 0.6×	61 1.3×	25 0.8×	25	289
Nathalie Zucchini-Pascal France	11	93 0.8×	26 0.3×	141 1.5×	83 1.7×	28 0.9×	16	374
Caroline Pinto United States	9	229 2.0×	18 0.2×	74 0.8×	30 0.6×	27 0.8×	12	364
Karma C. Fussell Germany	12	129 1.1×	17 0.2×	128 1.3×	89 1.9×	15 0.5×	22	365
Linda B. Steppan United States	8	287 2.5×	407 3.9×	123 1.3×	141 2.9×	12 0.4×	9	708
Matt Moeser United States	6	153 1.3×	23 0.2×	93 1.0×	29 0.6×	73 2.3×	7	316
Danila Cuomo Italy	10	133 1.1×	17 0.2×	122 1.3×	64 1.3×	9 0.3×	16	370
Anthony F. Trombino United States	9	154 1.3×	194 1.9×	169 1.7×	146 3.0×	8 0.3×	18	491

Countries citing papers authored by Markus Frericks

Since Specialization

Citations

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

Fields of papers citing papers by Markus Frericks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Frericks

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Frericks. A scholar is included among the top collaborators of Markus Frericks 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 Markus Frericks. Markus Frericks 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

Kemeny, Margaret E., Colin M. North, Felix M. Kluxen, et al.. (2025). Validation of OECD QSAR Toolbox profilers for genotoxicity assessment of pesticides using the MultiCase genotoxicity database. Computational Toxicology. 34. 100356–100356. 1 indexed citations

Johnson, Candice, Sue Marty, Marlene T. Kim, et al.. (2025). An in silico protocol for endocrine activity assessment: Integrating predictions, experimental evidence, and expert reviews across estrogen, androgen, thyroid, and steroidogenesis modalities. Computational Toxicology. 35. 100364–100364.

Enoch, Steven J., et al.. (2025). Matched molecular pairs-driven read-across for the prediction of genotoxicity of plant protection product residues. Regulatory Toxicology and Pharmacology. 163. 105915–105915.

Burgoon, Lyle D., et al.. (2024). The database makes the poison: How the selection of datasets in QSAR models impacts toxicant prediction of higher tier endpoints. Regulatory Toxicology and Pharmacology. 151. 105663–105663. 6 indexed citations

Cronin, M, Katharine Briggs, Steven J. Enoch, et al.. (2023). Making in silico predictive models for toxicology FAIR. Regulatory Toxicology and Pharmacology. 140. 105385–105385. 17 indexed citations

Stork, Conrad, et al.. (2023). Computational prediction of the metabolites of agrochemicals formed in rats. The Science of The Total Environment. 895. 165039–165039. 4 indexed citations

Enoch, Steven J., et al.. (2022). Sub-structure-based category formation for the prioritisation of genotoxicity hazard assessment for pesticide residues: Sulphonyl ureas. Regulatory Toxicology and Pharmacology. 129. 105115–105115. 10 indexed citations

Enoch, Steven J., et al.. (2022). Sub-structure-based category formation for the prioritisation of genotoxicity hazard assessment for pesticide residues (part 2): Triazoles. Regulatory Toxicology and Pharmacology. 134. 105237–105237. 5 indexed citations

Kluxen, Felix M., et al.. (2022). Understanding and overcoming the technical challenges in using in silico predictions in regulatory decisions of complex toxicological endpoints – A pesticide perspective for regulatory toxicologists with a focus on machine learning models. Regulatory Toxicology and Pharmacology. 137. 105311–105311. 9 indexed citations

10.

Johnson, Candice, Lennart T. Anger, Romualdo Benigni, et al.. (2021). Evaluating confidence in toxicity assessments based on experimental data and in silico predictions. Computational Toxicology. 21. 100204–100204. 10 indexed citations

11.

Loccisano, Anne E., et al.. (2021). Afidopyropen: Challenges and impact of a toxicokinetic study designed to identify a point of inflection from dose-proportionality. Regulatory Toxicology and Pharmacology. 124. 104962–104962. 2 indexed citations

12.

Frericks, Markus, Michael Eichenlaub, Steffen Schneider, et al.. (2021). Ontogeny of renal, hepatic, and placental expression of ATP-binding cassette and solute carrier transporters in the rat and the rabbit. Reproductive Toxicology. 107. 1–9. 1 indexed citations

13.

Loccisano, Anne E., et al.. (2020). Use of toxicokinetic data for afidopyropen to determine the dose levels in developmental toxicity studies. Regulatory Toxicology and Pharmacology. 113. 104644–104644. 4 indexed citations

14.

Frericks, Markus, et al.. (2018). Uterine adenocarcinoma in the rat induced by afidopyropen. An analysis of the lesion's induction, progression and its relevance to humans. Regulatory Toxicology and Pharmacology. 95. 29–51. 6 indexed citations

15.

Frericks, Markus & Charlotte Esser. (2008). A toolbox of novel murine house-keeping genes identified by meta-analysis of large scale gene expression profiles. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1779(12). 830–837. 35 indexed citations

16.

Frericks, Markus, Lyle D. Burgoon, Timothy R. Zacharewski, & Charlotte Esser. (2008). Promoter analysis of TCDD-inducible genes in a thymic epithelial cell line indicates the potential for cell-specific transcription factor crosstalk in the AhR response. Toxicology and Applied Pharmacology. 232(2). 268–279. 33 indexed citations

17.

Frericks, Markus, et al.. (2007). Microarray analysis of the AHR system: Tissue-specific flexibility in signal and target genes. Toxicology and Applied Pharmacology. 220(3). 320–332. 103 indexed citations

18.

Frericks, Markus, Vladimir Temchura, Marc Majora, Susanne Stutte, & Charlotte Esser. (2006). Transcriptional signatures of immune cells in aryl hydrocarbon receptor (AHR)-proficient and AHR-deficient mice. Biological Chemistry. 387(9). 1219–26. 23 indexed citations

19.

Temchura, Vladimir, Markus Frericks, Wolfgang Nacken, & Charlotte Esser. (2005). Role of the aryl hydrocarbon receptor in thymocyte emigration in vivo. European Journal of Immunology. 35(9). 2738–2747. 37 indexed citations

20.

Majora, Marc, Markus Frericks, Vladimir Temchura, Gaby Reichmann, & Charlotte Esser. (2005). Detection of a novel population of fetal thymocytes characterized by preferential emigration and a TCRγδ+ T cell fate after dioxin exposure. International Immunopharmacology. 5(12). 1659–1674. 9 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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