Clinical Pharmacology & Therapeutics

Papers
(The H4-Index of Clinical Pharmacology & Therapeutics is 37. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Issue Information383
Return to SENDer: The Submitted Electronic Data for Nonclinical Cardiovascular Studies is Not Facilitating Transparency, Translation or Innovation236
Exploring the Association Between Intra‐Patient Variability in Trough Concentration of Pazopanib and Clinical Outcomes in Renal Cell Carcinoma and Soft Tissue Sarcoma Patients157
In this Issue112
95
Opportunities and Challenges of Disease Progression Modeling in Drug Development – An IQ Perspective87
The Broader Context of Liquid Biopsy in Absorption, Distribution, Metabolism, and Elimination74
FDA Adverse Event Reporting System Essentials: A Reflection on Study Conception74
Progress in Clinical Pharmacology in China: A Randomized Controlled Study to Advance Genotype‐Guided Precision Medicine72
Reply to “Interpretation of Pharmacovigilance Disproportionality Analyses”71
Reply to “Questioning Bayesian Inference‐Based Models for Estimating Culprit Drugs for Adverse Drug Reactions”66
Model‐Informed Selection of the Recommended Phase 2 Dosage for Anti‐TIGIT Immunotherapy Leveraging co‐Expressed PD‐1 Inhibitor Target Engagement65
Integrated Evidence Planning for Enhancing Patient Care: Harnessing the Power of Real‐World Evidence64
Liquid Biopsies or Therapeutic Drug Monitoring for CYP Activity Profile Determination63
Enhancing External Control Arm Analyses through Data Calibration and Hybrid Designs62
Pharmacogenomic Prescribing Guidelines: Are They Always Useful?61
Correction to: Pharmacokinetics, Pharmacodynamics, and Safety of Vadadustat in Healthy Volunteers and Patients with Chronic Kidney Disease60
The Efficacy, Effectiveness, and Efficiency of Integrated QTc Assessment: Rationalizing Approaches to New Drug Modalities59
Promoting Clinical Trial Diversity: A Highlight of Select US FDA Initiatives56
Machine Learning‐Led Optimization of Combination Therapy: Confronting the Public Health Threat of Extensively Drug Resistant Gram‐Negative Bacteria55
Protecting the Kidney: The Unexpected Logic of Inhibiting a Glucose Transporter54
A Randomized Trial Comparing Standard of Care to Bayesian Warfarin Dose Individualization53
Promise of Quantitative Proteomics in the Qualification of New Approach Methodologies52
Repeated Intake of Grapefruit Juice Inhibits CYP2B6 , CYP2C9 , CYP2C1951
Advances in Clinical Therapies for Huntington's Disease and the Promise of Multi‐Targeted/Functional Drugs Based on Clinicaltrials.gov50
Drug‐Induced QT Prolongation: Associations Between Risk Classifications in a Swedish Clinical Decision Support System and Clinical Outcomes48
US Food and Drug Administration's Advancing Real‐World Evidence Program: Initial Experience48
Comprehensive Evaluation of OATP‐ and BCRP‐Mediated Drug–Drug Interactions of Methotrexate Using Physiologically‐Based Pharmacokinetic Modeling45
Infection Risk Associated with High‐Efficacy Disease‐Modifying Agents in Multiple Sclerosis: A Retrospective Cohort Study44
More Than Pharmacokinetics: Transporters in Clinical Pharmacology43
Factors Influencing Medication Adherence in Heart Failure Patients—A Survey Among Cardiac Healthcare Providers41
Using Machine Learning to Determine a Suitable Patient Population for Anakinra for the Treatment of COVID‐19 Under the Emergency Use Authorization40
ICH S7B In Vitro Assays Do Not Address Mechanisms of QTC Prolongation for Peptides and Proteins – Data in Support of Not Needing Dedicated QTC Studies40
Denosumab Offers Relatively Lower Initial Protection Against Osteoporotic Vertebral Fractures in Treatment‐Naive Patients Compared With Zoledronate39
Why Pediatric CAR ‐T Therapies Still Lag Behind: Insights from Six Treatments Centrally Approved in Europe38
38
Using Machine Learning to Individualize Treatment Effect Estimation: Challenges and Opportunities38
Predicting Survival in Patients with Advanced NSCLC Treated with Atezolizumab Using Pre‐ and on‐Treatment Prognostic Biomarkers37
Frequency of Key Pharmacogenes CYP2C9 , CYP2C19 , CYP2D6 37
0.65166783332825