Jay Park
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions
- COVID-19 Clinical Research Studies
Papers in
-
- Statistical Methods in Clinical Trials 13
- Advanced Causal Inference Techniques 5
-
- COVID-19 Clinical Research Studies 6
- HIV/AIDS Research and Interventions 5
- Co-authors
- Edward J. Mills (35 shared papers)Kristian Thorlund (22 shared papers)Louis Dron (24 shared papers)Ellie Siden (10 shared papers)Ofir Harari (19 shared papers)Milton H. Saier (2 shared papers)Ian T. Paulsen (2 shared papers)Richard Lester (7 shared papers)
- Journals
- The Lancet Global Health (5 papers)Pharmaceutical Statistics (3 papers)Contemporary Clinical Trials (3 papers)JAMA Network Open (3 papers)Journal of the International AIDS Society (2 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jay Park
60 papers receiving 2.4k citations
Jay Park's Hit Papers
Peers
Comparison fields: 5 of 162
- Statistics and Probability 266
- Infectious Diseases 476
- Health Informatics 32
- Family Practice 22
- Molecular Medicine 55
Countries citing papers authored by Jay Park
This map shows the geographic impact of Jay Park'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 Jay Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Park more than expected).
Fields of papers citing papers by Jay Park
This network shows the impact of papers produced by Jay Park. 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 Jay Park. The network helps show where Jay Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Park, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Systematic review of basket trials, umbrella trials, and platform trials: a landscape analysis of master protocols Hit paper breakdown → | 2019 | 242 |
| 2 | 2016 | 185 | |
| 3 | 2020 | 165 | |
| 4 | 2020 | 139 | |
| 5 | 2006 | 136 | |
| 6 | 1997 | 121 | |
| 7 | 2021 | 120 | |
| 8 | 2019 | 106 | |
| 9 | 2008 | 102 | |
| 10 | 2018 | 100 | |
| 11 | 2021 | 81 | |
| 12 | 2019 | 77 | |
| 13 | 2020 | 75 | |
| 14 | 2017 | 68 | |
| 15 | 2018 | 61 | |
| 16 | 2017 | 56 | |
| 17 | 2021 | 43 | |
| 18 | 2022 | 36 | |
| 19 | 2016 | 32 | |
| 20 | 2018 | 32 |
About Jay Park
Jay Park is a scholar working on Statistics and Probability, Infectious Diseases, Nutrition and Dietetics, Oncology and Public Health, Environmental and Occupational Health, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (13 papers), Child Nutrition and Water Access (6 papers), COVID-19 Clinical Research Studies (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Global Maternal and Child Health (5 papers), Advanced Causal Inference Techniques (5 papers), HIV/AIDS Research and Interventions (5 papers) and Child Nutrition and Feeding Issues (4 papers). The work is most often cited by research in Statistics and Probability (266 citations), Infectious Diseases (476 citations), Health Informatics (32 citations), Family Practice (22 citations) and Molecular Medicine (55 citations). Jay Park has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Edward J. Mills, Kristian Thorlund, Louis Dron, Ellie Siden, Ofir Harari, Milton H. Saier, Ian T. Paulsen, Richard Lester, Jean B. Nachega and Michael J. Zoratti. Their work appears in journals such as The Lancet Global Health, Pharmaceutical Statistics, Contemporary Clinical Trials, JAMA Network Open and Journal of the International AIDS Society.
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.