James Wason

7.2k citations
163 papers · 2.9k · 1 hit paper · h-index 27

Impact in

Papers in

James Wason

151 papers receiving 2.8k citations

James Wason's Hit Papers

Adaptive designs in clinical trials: why use them, and how to run and report them 2018 · 439 citations
4390+2+5Years since publication100200300400

Peers

James Wason
Comparison fields: 5 of 150
  • Statistics and Probability 942
  • Management Science and Operations Research 399
  • Statistics, Probability and Uncertainty 145
  • Immunology and Allergy 91
  • Economics and Econometrics 332
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James Wason relative to Lee‐Jen Wei United States Lee‐Jen Wei's profile →
Citations per field
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Citations per year

Countries citing papers authored by James Wason

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with James Wason Line = papers co-authored together James Wason links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adaptive designs in clinical trials: why use them, and how to run and report them
Hit paper breakdown →
2018439
2 2020130
3 2014107
4 201583
5 201478
6 201977
7 202077
8 201273
9 201269
10 202064
11 201760
12 201856
13 201353
14 201951
15 201348
16 201539
17 200935
18 201935
19 201734
20 201534

About James Wason

James Wason is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Rheumatology and Cancer Research, having authored 163 papers that have together received 2.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (76 papers), Optimal Experimental Design Methods (26 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers), Advanced Causal Inference Techniques (18 papers), Cancer Genomics and Diagnostics (10 papers), Genetic Associations and Epidemiology (9 papers), Statistical Methods and Inference (8 papers) and Rheumatoid Arthritis Research and Therapies (8 papers). The work is most often cited by research in Statistics and Probability (942 citations), Management Science and Operations Research (399 citations), Statistics, Probability and Uncertainty (145 citations), Immunology and Allergy (91 citations) and Economics and Econometrics (332 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, Michael J. Grayling, Christina Yap, Lorenzo Trippa, Lynne Stecher, Philip Pallmann and Munyaradzi Dimairo. Their work appears in journals such as Trials, Statistics in Medicine, Statistical Methods in Medical Research, BMJ Open and Lara D. Veeken.

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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