Cornelis E. C. A. Hop

Drug Discovery Laboratory (Norway) — Norway

Pharmacology, Toxicology and Pharmaceutics · Life Sciences

48h-index7.1kcitations249works5.92yr avg
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Research Topics

Pharmacogenetics and Drug Metabolism(68), Drug Transport and Resistance Mechanisms(51), Mass Spectrometry Techniques and Applications(50), Analytical Chemistry and Chromatography(45), Computational Drug Discovery Methods(25)

Publications249 total

Total drug’s last stand on phospholipidosis: Unbound drug rules!
Drug Metabolism and Disposition·2025
Beyond single-dose human mass balance study: minimizing subject confinement and enabling true steady-state assessment with a novel multiple-dose design proposal
Drug Metabolism and Disposition·2025
Property-Based Prediction Uncovers Intestinal Excretion as an Elimination Route of Small-Molecule Drugs
Journal of Medicinal Chemistry·2025· 3 cited
Elucidating Molecular Mechanisms of Drug-Induced Hepatotoxicity of Lapatinib
Journal of Medicinal Chemistry·2025· 3 cited
Transporter expressions as part of required scaling factor to support in vitro in vivo extrapolation for blood-brain barrier drug permeability
European Journal of Pharmaceutical Sciences·2025· 2 citedOpen Access
Tissue distribution and retention drives efficacy of rapidly clearing VHL-based PROTACs
Communications Medicine·2024· 13 citedOpen Access
Survey of Pharmaceutical Industry’s Best Practices around In Vitro Transporter Assessment and Implications for Drug Development: Considerations from the International Consortium for Innovation and Quality for Pharmaceutical Development Transporter Working Group
Drug Metabolism and Disposition·2024· 7 citedOpen Access
Using the Dynamic Well-Stirred Model to Extrapolate Hepatic Clearance of Organic Anion-Transporting Polypeptide Transporter Substrates without Assuming Albumin-Mediated Hepatic Drug Uptake
Drug Metabolism and Disposition·2024· 8 citedOpen Access
Introducing the Dynamic Well-Stirred Model for Predicting Hepatic Clearance and Extraction Ratio
Journal of Pharmaceutical Sciences·2024· 17 citedOpen Access
Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation and Quality Consortium Perspective on Use Cases and Best Practices
Clinical Pharmacology & Therapeutics·2023· 58 citedOpen Access
Data from Intratumoral Payload Concentration Correlates with the Activity of Antibody–Drug Conjugates
2023Open Access
Data from Intratumoral Payload Concentration Correlates with the Activity of Antibody–Drug Conjugates
2023Open Access
Supplementary Table 1. Supplementary Figures 1 and 2. from Intratumoral Payload Concentration Correlates with the Activity of Antibody–Drug Conjugates
2023Open Access
Supplementary Table 1. Supplementary Figures 1 and 2. from Intratumoral Payload Concentration Correlates with the Activity of Antibody–Drug Conjugates
2023Open Access
Supplementary Figure 1 from Antitumor Activity of Targeted and Cytotoxic Agents in Murine Subcutaneous Tumor Models Correlates with Clinical Response
2023Open Access
Supplementary Figure Legend from Antitumor Activity of Targeted and Cytotoxic Agents in Murine Subcutaneous Tumor Models Correlates with Clinical Response
2023Open Access
Supplementary Figure Legend from Antitumor Activity of Targeted and Cytotoxic Agents in Murine Subcutaneous Tumor Models Correlates with Clinical Response
2023Open Access
Supplementary Table 2 from Antitumor Activity of Targeted and Cytotoxic Agents in Murine Subcutaneous Tumor Models Correlates with Clinical Response
2023Open Access
Supplementary Table 2 from Antitumor Activity of Targeted and Cytotoxic Agents in Murine Subcutaneous Tumor Models Correlates with Clinical Response
2023Open Access
Data from Antitumor Activity of Targeted and Cytotoxic Agents in Murine Subcutaneous Tumor Models Correlates with Clinical Response
2023Open Access
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Frequent Co-authors

Jashvant D. Unadkat(10), Laurent Salphati(8), Yurong Lai(7), Bhagwat Prasad(6), Raymond Evers(6), Xiaoyan Chu(6), S. Cyrus Khojasteh(6), Harvey Wong(5), Guangqing Xiao(5), W. Griffith Humphreys(5), John R. Soglia(4), Sabrina X. Zhao(4), Mingxiang Liao(4), Jason Halladay(4), Young G. Shin(4), Anshul Gupta(3), Amit S. Kalgutkar(3), Hank La(3), Anita Mathias(3), Jane R. Kenny(3)