Jay Chok
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Innovation and Socioeconomic Development
Papers in
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- Innovation and Knowledge Management 5
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- Mobile Health and mHealth Applications 3
- Health Literacy and Information Accessibility 2
- Co-authors
- Don Roosan (13 shared papers)Moom R. Roosan (7 shared papers)Gukdo Byun (2 shared papers)Ye Dai (3 shared papers)Philip T. Roundy (1 shared paper)Andrius Baskys (3 shared papers)Anandi V. Law (4 shared papers)Zhiwei Wang (1 shared paper)
- Journals
- Pharmacogenomics (2 papers)JMIR mhealth and uhealth (1 paper)International Journal of Technology Management (1 paper)Journal of Management Studies (1 paper)Journal of Engineering and Technology Management (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jay Chok
25 papers receiving 303 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 31
- Business and International Management 17
- Management of Technology and Innovation 59
- Strategy and Management 87
- Family Practice 8
Countries citing papers authored by Jay Chok
This map shows the geographic impact of Jay Chok'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 Chok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Chok more than expected).
Fields of papers citing papers by Jay Chok
This network shows the impact of papers produced by Jay Chok. 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 Chok. The network helps show where Jay Chok may publish in the future.
Co-authors
The 23 scholars most cited alongside Jay Chok, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 64 | |
| 2 | 2020 | 36 | |
| 3 | 2022 | 31 | |
| 4 | 2022 | 28 | |
| 5 | 2020 | 27 | |
| 6 | 2020 | 25 | |
| 7 | 2019 | 24 | |
| 8 | Determinants of Idiosyncratic Volatility for Biotech IPO Firms | 2007 | 21 |
| 9 | 2020 | 10 | |
| 10 | 2012 | 10 | |
| 11 | 2024 | 7 | |
| 12 | 2009 | 5 | |
| 13 | 2018 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2013 | 3 |
About Jay Chok
Jay Chok is a scholar working on Strategy and Management, General Health Professions, Management of Technology and Innovation, Health Information Management and Economics and Econometrics, having authored 28 papers that have together received 322 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (5 papers), Mobile Health and mHealth Applications (3 papers), Entrepreneurship Studies and Influences (3 papers), Corporate Finance and Governance (3 papers), Innovation Policy and R&D (2 papers), Health Literacy and Information Accessibility (2 papers), Electronic Health Records Systems (2 papers) and Pharmaceutical Economics and Policy (2 papers). The work is most often cited by research in Health Informatics (31 citations), Business and International Management (17 citations), Management of Technology and Innovation (59 citations), Strategy and Management (87 citations) and Family Practice (8 citations). Jay Chok has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Don Roosan, Moom R. Roosan, Gukdo Byun, Ye Dai, Philip T. Roundy, Andrius Baskys, Anandi V. Law, Zhiwei Wang, Qian Sun and Angela Hwang. Their work appears in journals such as Pharmacogenomics, JMIR mhealth and uhealth, International Journal of Technology Management, Journal of Management Studies and Journal of Engineering and Technology Management.
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.