Andrew C. Hooker
- Pharmacology top 1%
- Statistics and Probability top 0.5%
- Molecular Biology
- Oncology top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- Mats O. KarlssonMartin BergstrandJohan WallinMO KarlssonPaolo ViciniChristine E. StaatzJoakim NybergMary E. Spilker
- Topics
- Statistical Methods in Clinical Trials (51 papers)Optimal Experimental Design Methods (30 papers)Health Systems, Economic Evaluations, Quality of Life (16 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Andrew C. Hooker
104 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Pharmacology 741
- Statistics and Probability 568
- Molecular Biology 559
- Oncology 543
- Pediatrics, Perinatology and Child Health 531
Countries citing papers authored by Andrew C. Hooker
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 31 | |
| 14 | A proof-of-principle example for identifying drug effect from a mechanistic model with a more parsimonious model | 1 |
| 15 | 11 | |
| 16 | 12 | |
| 17 | Handling Below Limit of Quantification Data in Optimal Trial Design | 5 |
| 18 | 14 | |
| 19 | 65 | |
| 20 | Prediction-Corrected Visual Predictive Checks for Diagnosing Nonlinear Mixed-Effects Modelsbreakdown → | 1146 |
About Andrew C. Hooker
Andrew C. Hooker is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics, having authored 109 papers that have together received 3.8k indexed citations. Recurring topics across this 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). The work is most often cited by research in Statistics and Probability (568 citations), Transplantation (131 citations) and Pharmacology (741 citations). Andrew C. Hooker has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent 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. Their work appears in journals such as Journal of the American Chemical Society, Circulation and Journal of Clinical Oncology.
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.