Lu Gaohua
Bristol-Myers Squibb (United States)(US)
Publications by Year
Research Areas
Thermal Regulation in Medicine, Pharmacogenetics and Drug Metabolism, Thermoregulation and physiological responses, Drug Transport and Resistance Mechanisms, Receptor Mechanisms and Signaling
Most-Cited Works
- → Crosstalk of physiological pH and chemical pKa under the umbrella of physiologically based pharmacokinetic modeling of drug absorption, distribution, metabolism, excretion, and toxicity(2021)171 cited
- → A pregnancy physiologically based pharmacokinetic (p‐PBPK) model for disposition of drugs metabolized by CYP1A2, CYP2D6 and CYP3A4(2012)119 cited
- → Metformin and cimetidine: Physiologically based pharmacokinetic modelling to investigate transporter mediated drug–drug interactions(2016)118 cited
- → Development of a Novel Maternal-Fetal Physiologically Based Pharmacokinetic Model I: Insights into Factors that Determine Fetal Drug Exposure through Simulations and Sensitivity Analyses(2017)98 cited
- → Development of a Multicompartment Permeability‐Limited Lung PBPK Model and Its Application in Predicting Pulmonary Pharmacokinetics of Antituberculosis Drugs(2015)83 cited
- → Development of a permeability-limited model of the human brain and cerebrospinal fluid (CSF) to integrate known physiological and biological knowledge: Estimating time varying CSF drug concentrations and their variability using in vitro data(2016)75 cited
- → Targeted protein degradation in vivo with Proteolysis Targeting Chimeras: Current status and future considerations(2019)73 cited
- → Accounting for Transporters in Renal Clearance: Towards a Mechanistic Kidney Model (Mech KiM)(2013)67 cited
- → Applications of linking PBPK and PD models to predict the impact of genotypic variability, formulation differences, differences in target binding capacity and target site drug concentrations on drug responses and variability(2014)58 cited
- → Predicting Nonlinear Pharmacokinetics of Omeprazole Enantiomers and Racemic Drug Using Physiologically Based Pharmacokinetic Modeling and Simulation: Application to Predict Drug/Genetic Interactions(2014)32 cited