Ken Cheung
Impact in
- Applied Psychology top 2%
- Digital Mental Health Interventions
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- Atrial Fibrillation Management and Outcomes
Papers in
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- Statistical Methods in Clinical Trials 9
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- Amyotrophic Lateral Sclerosis Research 2
- Co-authors
- Mitchell S.V. Elkind (26 shared papers)Ralph L. Sacco (24 shared papers)Naihua Duan (4 shared papers)C. Hendricks Brown (3 shared papers)Clinton B. Wright (17 shared papers)Yeseon Park Moon (9 shared papers)David C. Mohr (4 shared papers)Stephen M. Schueller (3 shared papers)
- Journals
- Stroke (8 papers)Journal of Clinical Oncology (3 papers)Cerebrovascular Diseases (3 papers)Journal of the American Heart Association (3 papers)Neurology (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Ken Cheung
57 papers receiving 2.6k citations
Ken Cheung's Hit Papers
Peers
Comparison fields: 5 of 134
- Applied Psychology 208
- Cardiology and Cardiovascular Medicine 364
- Pathology and Forensic Medicine 255
- Genetics 144
- Oncology 355
Countries citing papers authored by Ken Cheung
This map shows the geographic impact of Ken Cheung'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 Ken Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Cheung more than expected).
Fields of papers citing papers by Ken Cheung
This network shows the impact of papers produced by Ken Cheung. 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 Ken Cheung. The network helps show where Ken Cheung may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Cheung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Overview of Research and Evaluation Designs for Dissemination and Implementation Hit paper breakdown → | 2017 | 346 |
| 2 | 2006 | 283 | |
| 3 | 2010 | 247 | |
| 4 | 2015 | 169 | |
| 5 | 2015 | 161 | |
| 6 | 2013 | 139 | |
| 7 | 2014 | 114 | |
| 8 | 2015 | 112 | |
| 9 | 2016 | 76 | |
| 10 | 2014 | 74 | |
| 11 | 2006 | 62 | |
| 12 | 2018 | 58 | |
| 13 | 2013 | 55 | |
| 14 | 2015 | 55 | |
| 15 | 2014 | 54 | |
| 16 | 2008 | 50 | |
| 17 | 2009 | 49 | |
| 18 | 2018 | 47 | |
| 19 | 2021 | 47 | |
| 20 | 2010 | 46 |
About Ken Cheung
Ken Cheung is a scholar working on Statistics and Probability, Neurology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and General Health Professions, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Meta-analysis and systematic reviews (5 papers), Digital Mental Health Interventions (3 papers), Acute Ischemic Stroke Management (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Applied Psychology (208 citations), Cardiology and Cardiovascular Medicine (364 citations), Pathology and Forensic Medicine (255 citations), Genetics (144 citations) and Oncology (355 citations). Ken Cheung has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Mitchell S.V. Elkind, Ralph L. Sacco, Naihua Duan, C. Hendricks Brown, Clinton B. Wright, Yeseon Park Moon, David C. Mohr, Stephen M. Schueller, Tatjana Rundek and Hannah Gardener. Their work appears in journals such as Stroke, Journal of Clinical Oncology, Cerebrovascular Diseases, Journal of the American Heart Association and Neurology.
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.