Jay Park

5.0k citations
70 papers · 2.6k · 1 hit paper · h-index 25

Impact in

Papers in

Jay Park

65 papers receiving 2.5k citations

Jay Park's Hit Papers

Systematic review of basket trials, umbrella trials, and platform trials: a landscape analysis of master protocols 2019 · 253 citations
2530+2+4Years since publication50100150200250

Peers

Jay Park
Comparison fields: 5 of 166
  • Statistics and Probability 284
  • Infectious Diseases 481
  • Health Informatics 34
  • Family Practice 23
  • Molecular Medicine 56
Replace Thomas P. Gross with:
Thomas P. Gross United States
Steven A. Anderson United States
Ruth H. Keogh United Kingdom
Vipul Jairath Canada
Corrado De Vito Italy
Christina Yap United Kingdom
Bo Zhang United States
Jay P. Siegel United States
Thuan Nguyen United States
Michael P. Douglas United States
Jay Park relative to Thomas P. Gross United States Thomas P. Gross's profile →
Citations per field
00.5×2×4×5.1×
Thomas P. Gross · 1×
Citations per year

Countries citing papers authored by Jay Park

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 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 →
2019253
2 2016185
3 2020170
4 2006144
5 2020141
6 1997134
7 2021123
8 2018107
9 2019106
10 2008106
11 201982
12 202182
13 202077
14 201771
15 201863
16 201757
17 202144
18 202237
19 201632
20 201832

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 70 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (16 papers), Child Nutrition and Water Access (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), COVID-19 Clinical Research Studies (6 papers), Global Maternal and Child Health (5 papers), Advanced Causal Inference Techniques (5 papers), HIV/AIDS Research and Interventions (5 papers) and Meta-analysis and systematic reviews (4 papers). The work is most often cited by research in Statistics and Probability (284 citations), Infectious Diseases (481 citations), Health Informatics (34 citations), Family Practice (23 citations) and Molecular Medicine (56 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, JAMA Network Open, Contemporary Clinical Trials, Pharmaceutical Statistics and American Journal of Tropical Medicine and Hygiene.

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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