Andrew C. Hooker

4.9k total citations · 3 hit papers
109 papers, 3.8k citations indexed

About

Andrew C. Hooker is a scholar working on Statistics and Probability, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Andrew C. Hooker has authored 109 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 31 papers in Management Science and Operations Research and 21 papers in Molecular Biology. Recurrent topics in Andrew C. Hooker's work include Statistical Methods in Clinical Trials (51 papers), Optimal Experimental Design Methods (30 papers) and Health Systems, Economic Evaluations, Quality of Life (16 papers). Andrew C. Hooker is often cited by papers focused on Statistical Methods in Clinical Trials (51 papers), Optimal Experimental Design Methods (30 papers) and Health Systems, Economic Evaluations, Quality of Life (16 papers). Andrew C. Hooker collaborates with scholars based in Sweden, United States and United Kingdom. Andrew C. Hooker's co-authors include Mats O. Karlsson, Martin Bergstrand, Johan Wallin, MO Karlsson, Paolo Vicini, Christine E. Staatz, Joakim Nyberg, Mary E. Spilker, Marina S. Ferguson and Chun Yuan and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and Journal of Clinical Oncology.

In The Last Decade

Andrew C. Hooker

104 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prediction-Corrected Visual Predictive Checks for Diagnosing Nonlinear Mixed-Effects Models

2011 1.1k citations Martin Bergstrand, Andrew C. Hooker et al. The AAPS Journal profile →
Modeling and Simulation Workbench for NONMEM: Tutorial on Pirana, PsN, and Xpose

2013 541 citations Andrew C. Hooker et al. CPT Pharmacometrics & Systems Pharmacology profile →
Model Evaluation of Continuous Data Pharmacometric Models: Metrics and Graphics

2016 292 citations Andrew C. Hooker, Mats O. Karlsson et al. CPT Pharmacometrics & Systems Pharmacology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrew C. Hooker Sweden	21	741	568	559	543	531	109	3.8k
Jeffrey S. Barrett United States	39	929 1.3×	335 0.6×	717 1.3×	445 0.8×	1.3k 2.5×	192	5.0k
E. Niclas Jonsson Sweden	37	974 1.3×	864 1.5×	754 1.3×	933 1.7×	825 1.6×	90	6.1k
Yaning Wang United States	29	380 0.5×	533 0.9×	769 1.4×	591 1.1×	559 1.1×	117	3.4k
Emmanuelle Comets France	26	556 0.8×	447 0.8×	285 0.5×	398 0.7×	420 0.8×	84	2.8k
Radojka M. Savić United States	25	656 0.9×	251 0.4×	486 0.9×	484 0.9×	493 0.9×	89	3.3k
Marc Pfister Switzerland	33	600 0.8×	161 0.3×	922 1.6×	250 0.5×	600 1.1×	184	3.9k
Martin Bergstrand Sweden	17	487 0.7×	175 0.3×	311 0.6×	425 0.8×	376 0.7×	38	2.5k
Iñaki F. Trocóniz Spain	31	423 0.6×	181 0.3×	756 1.4×	887 1.6×	263 0.5×	187	3.6k
David Z. D’Argenio United States	26	384 0.5×	260 0.5×	594 1.1×	326 0.6×	180 0.3×	96	2.3k
J. G. Coen van Hasselt Netherlands	29	599 0.8×	118 0.2×	509 0.9×	643 1.2×	407 0.8×	115	2.6k

Countries citing papers authored by Andrew C. Hooker

Since Specialization

Citations

This map shows the geographic impact of Andrew C. Hooker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew C. Hooker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew C. Hooker more than expected).

Fields of papers citing papers by Andrew C. Hooker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew C. Hooker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew C. Hooker. The network helps show where Andrew C. Hooker may publish in the future.

Co-authorship network of co-authors of Andrew C. Hooker

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew C. Hooker. A scholar is included among the top collaborators of Andrew C. Hooker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew C. Hooker. Andrew C. Hooker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

König, Franz, Tim Friede, Andrew C. Hooker, et al.. (2025). A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards. Statistics in Medicine. 44(5). e70019–e70019.

Röver, Christian, Emmanuelle Comets, Markus C. Elze, et al.. (2025). In Silico Clinical Trials in Drug Development: A Systematic Review. Therapeutic Innovation & Regulatory Science. 60(2). 423–439.

Hooker, Andrew C., et al.. (2024). Item performance of the scale for the assessment and rating of ataxia in rare and ultra‐rare genetic ataxias. CPT Pharmacometrics & Systems Pharmacology. 13(8). 1327–1340. 4 indexed citations

Fang, Lanyan, et al.. (2024). Evaluation of model‐integrated evidence approaches for pharmacokinetic bioequivalence studies using model averaging methods. CPT Pharmacometrics & Systems Pharmacology. 13(10). 1748–1761. 1 indexed citations

Hooker, Andrew C., Emmanuelle Comets, Andreas Traschütz, et al.. (2024). Longitudinal Analysis of Natural History Progression of Rare and Ultra‐Rare Cerebellar Ataxias Using Item Response Theory. Clinical Pharmacology & Therapeutics. 116(6). 1593–1605. 2 indexed citations

Zhao, Liang, et al.. (2024). Development and comparison of model‐integrated evidence approaches for bioequivalence studies with pharmacokinetic end points. CPT Pharmacometrics & Systems Pharmacology. 13(10). 1734–1747. 2 indexed citations

Verbeeck, Johan, Andrew C. Hooker, Geert Molenberghs, et al.. (2023). Statistical recommendations for count, binary, and ordinal data in rare disease cross-over trials. Orphanet Journal of Rare Diseases. 18(1). 391–391. 2 indexed citations

Gong, Yuqing, Miyoung Yoon, Hao Zhu, et al.. (2023). Establishing the suitability of model‐integrated evidence to demonstrate bioequivalence for long‐acting injectable and implantable drug products: Summary of workshop. CPT Pharmacometrics & Systems Pharmacology. 12(5). 624–630. 7 indexed citations

Hooker, Andrew C., et al.. (2023). Generation and application of avatars in pharmacometric modelling. Journal of Pharmacokinetics and Pharmacodynamics. 50(5). 411–423. 10 indexed citations

10.

Lund, Trine Meldgaard, et al.. (2020). Integrated Item Response Theory Modeling of Multiple Patient-Reported Outcomes Assessing Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia. The AAPS Journal. 22(5). 98–98. 2 indexed citations

11.

Draper, Heather R., Anthony J. Garcia‐Prats, Stephanie Thee, et al.. (2019). Population Pharmacokinetics and Dosing of Ethionamide in Children with Tuberculosis. Antimicrobial Agents and Chemotherapy. 64(3). 9 indexed citations

12.

Jönsson, Siv, et al.. (2018). Reduced and optimized trial designs for drugs described by a target mediated drug disposition model. Journal of Pharmacokinetics and Pharmacodynamics. 45(4). 637–647. 1 indexed citations

13.

Aoki, Yasunori, Daniel Röshammar, Bengt Hamrén, & Andrew C. Hooker. (2017). Model selection and averaging of nonlinear mixed-effect models for robust phase III dose selection. Journal of Pharmacokinetics and Pharmacodynamics. 44(6). 581–597. 31 indexed citations

14.

Wang, Shijun, Kristin Karlsson, Maria C. Kjellsson, Mats O. Karlsson, & Andrew C. Hooker. (2016). A proof-of-principle example for identifying drug effect from a mechanistic model with a more parsimonious model. Journal of Pharmacokinetics and Pharmacodynamics. 43. 1 indexed citations

15.

Aoki, Yasunori, et al.. (2016). Preconditioning of Nonlinear Mixed Effects Models for Stabilisation of Variance-Covariance Matrix Computations. The AAPS Journal. 18(2). 505–518. 11 indexed citations

16.

Ueckert, Sebastian, Mats O. Karlsson, & Andrew C. Hooker. (2016). Accelerating Monte Carlo power studies through parametric power estimation. Journal of Pharmacokinetics and Pharmacodynamics. 43(2). 223–234. 12 indexed citations

17.

Ueckert, Sebastian, et al.. (2014). Handling Below Limit of Quantification Data in Optimal Trial Design. Journal of Pharmacokinetics and Pharmacodynamics. 5 indexed citations

18.

Marklund, Matti, Helle Nygaard Lærke, Knud Erik Bach Knudsen, et al.. (2014). Simultaneous Pharmacokinetic Modeling of Alkylresorcinols and Their Main Metabolites Indicates Dual Absorption Mechanisms and Enterohepatic Elimination in Humans. Journal of Nutrition. 144(11). 1674–1680. 14 indexed citations

19.

Ueckert, Sebastian, Elodie L. Plan, Kaori Ito, et al.. (2014). Improved Utilization of ADAS-Cog Assessment Data Through Item Response Theory Based Pharmacometric Modeling. Pharmaceutical Research. 31(8). 2152–2165. 65 indexed citations

20.

Bergstrand, Martin, Andrew C. Hooker, Johan Wallin, & Mats O. Karlsson. (2011). Prediction-Corrected Visual Predictive Checks for Diagnosing Nonlinear Mixed-Effects Models. The AAPS Journal. 13(2). 143–151. 1146 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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