Get started
Author

Kristin Herrmann

Observed name: K. Herrmann
ORCID: 0000-0003-3733-7144
Observed ORCID: 0000-0003-3733-7144
OpenAlex ID: A5103060596
Genotoxicity assessment: opportunities, challenges and perspectives for quantitative evaluations of dose–response data
2023 · Jakob Menz, Mario E. Götz, et al. · Archives of Toxicology · 92
PDF
Methyleugenol DNA adducts in human liver are associated with SULT1A1 copy number variations and expression levels
2017 · Roman Tremmel, Kristin Herrmann, et al. · Archives of Toxicology · 42
Alkenylbenzenes in Foods: Aspects Impeding the Evaluation of Adverse Health Effects
2021 · Andreas Eisenreich, Mario E. Götz, et al. · Foods · 38
PDF
Use of transcriptomics in hazard identification and next generation risk assessment: A case study with clothianidin
2022 · Heike Sprenger, Katrin Kreuzer, et al. · Food and Chemical Toxicology · 18
PDF
Matrine and Oxymatrine: evaluating the gene mutation potential using in silico tools and the bacterial reverse mutation assay (Ames test)
2023 · Benjamin Christian Fischer, Yemurai Musengi, et al. · Mutagenesis · 15
PDF
(Q) SAR tools for the prediction of mutagenic properties: Are they ready for application in pesticide regulation?
2020 · Kristin Herrmann, Andrea Holzwarth, et al. · Pest Management Science · 15
PDF
Pobody’s Nerfect: (Q)SAR works well for predicting bacterial mutagenicity of pesticides and their metabolites, but predictions for clastogenicity in vitro have room for improvement
2024 · Benjamin Christian Fischer, Daniel Harrison Foil, et al. · Computational Toxicology · 6
Comparative Chemical Space Analysis of Pesticides and Substances with Genotoxicity Data
2025 · Daniel H. Foil, Jeannette König, et al. · Chemical Research in Toxicology · 4
PDF
Extension of the EFSA Pesticides Genotoxicity Database
2025 · Daniel H. Foil, Asya Kadic, et al. · EFSA Supporting Publications · 4
How the methodology determines the outcome of the in vitro micronucleus assay (OECD TG 487): a comparison of the MicroFlow and the microscopic evaluation approach highlights the impact of cytotoxicity/cytostasis metrics in V79 cells for matrine
2026 · Benjamin Christian Fischer, Yemurai Musengi, et al. · Archives of Toxicology · 3
PDF
Quantitative evaluation of genotoxicity data for risk assessment and regulatory decision-making: Time for a paradigm shift
2026 · Benjamin Sachse, Sebastian Schmeisser, et al. · Environment International · 2
P08-04 Mutagenicity testing of alkenylbenzenes: need for refined approaches due to sulfotransferase-mediated bioactivation
2022 · M.E. Goetz, A. Eisenreich, et al. · Toxicology Letters · 1
Benchmark Dose Analysis of Ames Test Data: Identifying Appropriate Benchmark Response Values and Modeling Approaches
2026 · Daniel H. Foil, C. Tobias Willenbockel, et al. · ChemRxiv
Repurposing Regulatory Toxicology Safety Data to Identify Potential Pro-Longevity Substances
2025 · Satomi Miwa, Olena Kucheryavenko, et al. · bioRxiv (Cold Spring Harbor Laboratory)
Using multiple in silico models to improve robustness of predictions for bacterial mutagenicity
2021 · J. König, C. Kneuer, et al. · Toxicology Letters
Applicability of in-silico tools to predict mutagenic activity of pesticides
2019 · Falko Frenzel, Kristin Herrmann, et al.
(Q)SAR tools for the prediction of mutagenic properties – Are they ready for application in pesticide regulation?
2019 · Kristin Herrmann, Andrea Holzwarth, et al.
Natural and process-related carcinogens in food: Macromolecular adducts in animal models and human blood and tissue samples
2015 · H. Glatt, W. Meinl, et al. · Toxicology Letters
Works count: 18
Citation count: 240
H-index: 6
I10-index: 6
Year
Topic
Type