P Chan
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
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- Pharmacogenetics and Drug Metabolism
- Antibiotics Pharmacokinetics and Efficacy
Papers in
- Genetics 2
- Genomics and Rare Diseases 1
- Neurogenetic and Muscular Disorders Research 1
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- Statistical Methods in Clinical Trials 2
- Co-authors
- Wonkyung Byon (1 shared paper)Haiqing Dai (1 shared paper)Jing Dong (1 shared paper)Carol Cronenberger (1 shared paper)Steve Riley (1 shared paper)Kevin Sweeney (1 shared paper)Michael K. Smith (2 shared papers)Ana Ruiz-Garcı́a (1 shared paper)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (2 papers)The Annual Review of Pharmacology and Toxicology (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Parkinsonism & Related Disorders (1 paper)Research Repository (Delft University of Technology) (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
P Chan
6 papers receiving 303 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 62
- Pharmacology 39
- Pharmacology 40
- Transplantation 6
- Pediatrics, Perinatology and Child Health 37
Countries citing papers authored by P Chan
This map shows the geographic impact of P Chan'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 P Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Chan more than expected).
Fields of papers citing papers by P Chan
This network shows the impact of papers produced by P Chan. 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 P Chan. The network helps show where P Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside P Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 156 | |
| 2 | 2001 | 131 | |
| 3 | 2017 | 7 | |
| 4 | 2016 | 7 | |
| 5 | 2009 | 7 | |
| 6 | A New Methodology for the Development of Simulation Workflows: Moving Beyond MOKA | 2013 | 2 |
About P Chan
P Chan is a scholar working on Genetics, Statistics and Probability, Genetics, Pathology and Forensic Medicine and Management Information Systems, having authored 6 papers that have together received 310 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Genomics and Rare Diseases (1 paper), Business Process Modeling and Analysis (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Research Data Management Practices (1 paper), Scientific Computing and Data Management (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Statistics and Probability (62 citations), Pharmacology (39 citations), Pharmacology (40 citations), Transplantation (6 citations) and Pediatrics, Perinatology and Child Health (37 citations). P Chan has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Wonkyung Byon, Haiqing Dai, Jing Dong, Carol Cronenberger, Steve Riley, Kevin Sweeney, Michael K. Smith, Ana Ruiz-Garcı́a, Lutz Harnisch and Xinyu Fang. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, The Annual Review of Pharmacology and Toxicology, Clinical Pharmacology & Therapeutics, Parkinsonism & Related Disorders and Research Repository (Delft University of Technology).
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.