Kevin P. Cross

Columbus Center — United States

Computer Science · Physical Sciences

25h-index1.9kcitations80works6.52yr avg
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Research Topics

Computational Drug Discovery Methods(38), Carcinogens and Genotoxicity Assessment(25), Analytical Chemistry and Chromatography(12), Animal testing and alternatives(11), Effects and risks of endocrine disrupting chemicals(7)

Publications80 total

P31-33 Classification based risk assessment in the safety evaluation of Extractables & Leachables
Toxicology Letters·2025Open Access
An in silico protocol for endocrine activity assessment: Integrating predictions, experimental evidence, and expert reviews across estrogen, androgen, thyroid, and steroidogenesis modalities
Computational Toxicology·2025· 2 cited
Risk (Re)assessment of N-Methyl-N-nitrosophenethylamine for use in computing risk levels of N-Nitrosamine drug substance related impurities
Regulatory Toxicology and Pharmacology·2025
Novel (Q)SAR models for prediction of reversible and time-dependent inhibition of cytochrome P450 enzymes
Frontiers in Pharmacology·2025· 4 citedOpen Access
IARC Workshop on the Key Characteristics of Carcinogens: Assessment of End Points for Evaluating Mechanistic Evidence of Carcinogenic Hazards
Environmental Health Perspectives·2025· 8 citedOpen Access
Quantitative Structure–Activity Relationship Models to Predict Cardiac Adverse Effects
Chemical Research in Toxicology·2024Open Access
P05-18 Chemical classification and predictive models for the assessment of extractables and leachables
Toxicology Letters·2024
Developing a pragmatic consensus procedure supporting the ICH S1B(R1) weight of evidence carcinogenicity assessment
Frontiers in Toxicology·2024· 7 citedOpen Access
Medical device report analyses from MAUDE: Device and patient outcomes, adverse events, and sex-based differential effects
Regulatory Toxicology and Pharmacology·2024· 6 cited
Mechanisms of Nitrosamine Mutagenicity and Their Relationship to Rodent Carcinogenic Potency
Chemical Research in Toxicology·2024· 43 cited
In Silico Toxicology
2024· 1 cited
<i>In Silico</i>Assessment of Biomolecule Reactivity with Leachables
PDA Journal of Pharmaceutical Science and Technology·2023
Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project
SAR and QSAR in environmental research·2023· 19 citedOpen Access
In silico approaches in carcinogenicity hazard assessment: case study of pregabalin, a nongenotoxic mouse carcinogen
Frontiers in Toxicology·2023· 7 citedOpen Access
List of contributors
Elsevier eBooks·2023
Use of in silico protocols to evaluate drug safety
Elsevier eBooks·2023· 1 cited
Photometry of Type II Supernova SN 2023ixf with a Worldwide Citizen Science Network
Research Notes of the AAS·2023· 16 citedOpen Access
Analysis of chemical structures and mutations detected by Salmonella TA98 and TA100
Mutation research. Fundamental and molecular mechanisms of mutagenesis·2023· 10 citedOpen Access
AI Segmentation of Vestibular Schwannomas with Radiomic Analysis and Clinical Correlates
2023· 2 citedOpen Access
In Silico Toxicology
2023
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Frequent Co-authors

Glenn J. Myatt(23), Naomi L. Kruhlak(10), Scott A. Miller(10), Alexander Amberg(9), Lisa Beilke(9), Joel P. Bercu(9), Lidiya Stavitskaya(9), Angela White(9), Lennart T. Anger(8), Dave Bower(8), Laura Custer(8), Susanne Glowienke(8), Masamitsu Honma(8), Candice Johnson(8), Robert A. Jolly(8), Joerg Wichard(8), David Woolley(8), Catrin Hasselgren(8), Romualdo Benigni(7), James Harvey(7)