James Wason
- Statistics and Probability top 0.2%
- Statistical Methods in Clinical Trials 85
- Advanced Causal Inference Techniques 24
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- Optimal Experimental Design Methods 29
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- Meta-analysis and systematic reviews 16
- Economics and Econometrics top 2%
- Health Systems, Economic Evaluations, Quality of Life 34
- Immunology and Allergy top 5%
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- Cancer Genomics and Diagnostics 15
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- Genetic Associations and Epidemiology 11
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- Biosimilars and Bioanalytical Methods 9
- Co-authors
- Adrian ManderThomas JakiSofía S. VillarJack BowdenChristina YapMichael J. GraylingLorenzo TrippaLynne Stecher
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- Trials (17 papers)Statistics in Medicine (15 papers)Statistical Methods in Medical Research (8 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
James Wason
149 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Statistics and Probability 1.0k
- Management Science and Operations Research 448
- Statistics, Probability and Uncertainty 254
- Economics and Econometrics 494
- Immunology and Allergy 98
Countries citing papers authored by James Wason
This map shows the geographic impact of James Wason'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 James Wason with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Wason more than expected).
Fields of papers citing papers by James Wason
This network shows the impact of papers produced by James Wason. 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 James Wason. The network helps show where James Wason may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Wason, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 3 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 9 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 13 | |
| 19 | 2017 | 10 | |
| 20 | 2015 | 81 |
About James Wason
James Wason is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Economics and Econometrics and Applied Psychology, having authored 160 papers that have together received 2.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (85 papers), Health Systems, Economic Evaluations, Quality of Life (34 papers), Optimal Experimental Design Methods (29 papers), Advanced Causal Inference Techniques (24 papers), Meta-analysis and systematic reviews (16 papers), Cancer Genomics and Diagnostics (15 papers), Genetic Associations and Epidemiology (11 papers) and Biosimilars and Bioanalytical Methods (9 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Management Science and Operations Research (448 citations), Statistics, Probability and Uncertainty (254 citations), Economics and Econometrics (494 citations) and Immunology and Allergy (98 citations). James Wason has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Adrian Mander, Thomas Jaki, Sofía S. Villar, Jack Bowden, Christina Yap, Michael J. Grayling, Lorenzo Trippa, Lynne Stecher, Stephen Sawcer and Munyaradzi Dimairo. Their work appears in journals such as Trials, Statistics in Medicine, Statistical Methods in Medical Research, BMJ Open and Pharmaceutical Statistics.
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.