Kai Yeung

1.9k total citations
38 papers, 475 citations indexed

About

Kai Yeung is a scholar working on Economics and Econometrics, General Health Professions and Family Practice. According to data from OpenAlex, Kai Yeung has authored 38 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Economics and Econometrics, 8 papers in General Health Professions and 8 papers in Family Practice. Recurrent topics in Kai Yeung's work include Health Systems, Economic Evaluations, Quality of Life (21 papers), Pharmaceutical Economics and Policy (17 papers) and Medication Adherence and Compliance (8 papers). Kai Yeung is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (21 papers), Pharmaceutical Economics and Policy (17 papers) and Medication Adherence and Compliance (8 papers). Kai Yeung collaborates with scholars based in United States, Canada and United Kingdom. Kai Yeung's co-authors include Sean D. Sullivan, Josh J. Carlson, Anirban Basu, Louis P. Garrison, John B. Watkins, Ryan N. Hansen, Michael Von Korff, Charles M. Morin, Michael V. Vitiello and Robert Wellman and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Geriatrics Society and Journal of Affective Disorders.

In The Last Decade

Kai Yeung

37 papers receiving 463 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kai Yeung United States 13 221 78 64 46 44 38 475
Michael Grabner United States 17 92 0.4× 68 0.9× 26 0.4× 61 1.3× 40 0.9× 80 811
Marci Clark United States 11 146 0.7× 54 0.7× 41 0.6× 8 0.2× 57 1.3× 21 495
Jyotsna Mehta United States 11 277 1.3× 26 0.3× 32 0.5× 43 0.9× 151 3.4× 25 712
Indra Tumur United Kingdom 11 178 0.8× 63 0.8× 101 1.6× 7 0.2× 9 0.2× 11 812
Rahul Shenolikar United States 13 98 0.4× 87 1.1× 25 0.4× 138 3.0× 20 0.5× 47 531
Hanneke J.C.J.M. de Haes Netherlands 12 110 0.5× 242 3.1× 15 0.2× 15 0.3× 72 1.6× 13 524
Ashley F. Slagle United States 8 113 0.5× 64 0.8× 12 0.2× 8 0.2× 27 0.6× 26 437
Theresa Coles United States 11 43 0.2× 67 0.9× 23 0.4× 8 0.2× 33 0.8× 52 379
Robert Feldman United States 12 84 0.4× 103 1.3× 7 0.1× 24 0.5× 53 1.2× 23 452
Joakim Ramsberg Sweden 11 154 0.7× 64 0.8× 14 0.2× 6 0.1× 33 0.8× 21 415

Countries citing papers authored by Kai Yeung

Since Specialization
Citations

This map shows the geographic impact of Kai Yeung'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 Kai Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yeung more than expected).

Fields of papers citing papers by Kai Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Yeung. 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 Kai Yeung. The network helps show where Kai Yeung may publish in the future.

Co-authorship network of co-authors of Kai Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Yeung. A scholar is included among the top collaborators of Kai Yeung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai Yeung. Kai Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yeung, Kai, et al.. (2025). Pharmacy Subscription Program and Medication Refills, Days’ Supply, and Out-of-Pocket Costs. JAMA Network Open. 8(1). e2456392–e2456392. 1 indexed citations
2.
3.
Yeung, Kai, et al.. (2023). Drug use and spending under a formulary informed by cost-effectiveness. Journal of Managed Care & Specialty Pharmacy. 29(11). 1175–1183. 1 indexed citations
4.
Chen, Yilin, et al.. (2023). Designing a Value-Based Formulary for a Commercial Health Plan: A Simulated Case Study of Diabetes Medications. Value in Health. 26(7). 1022–1031. 4 indexed citations
5.
6.
Yeung, Kai, et al.. (2022). P1 Estimating US National Prescription Drug Savings from Applying Value-Based Price Caps. Value in Health. 25(7). S287–S287. 1 indexed citations
7.
Beinfeld, Molly T., et al.. (2022). Oral treatments for outpatient COVID-19: Effectiveness and value. Journal of Managed Care & Specialty Pharmacy. 28(8). 903–909. 4 indexed citations
8.
Chen, Yilin, Xu Ji, Hong Xiao, et al.. (2021). Impact of the Pilot Volume-Based Drug Purchasing Policy in China: Interrupted Time-Series Analysis with Controls. Frontiers in Pharmacology. 12. 804237–804237. 29 indexed citations
9.
Yeung, Kai, Julie Richards, Paula Lozano, et al.. (2020). Costs of using evidence‐based implementation strategies for behavioral health integration in a large primary care system. Health Services Research. 55(6). 913–923. 17 indexed citations
10.
Yeung, Kai, Douglas Barthold, Stacie B. Dusetzina, & Anirban Basu. (2020). Patient and Plan Spending after State Specialty-Drug Out-of-Pocket Spending Caps. New England Journal of Medicine. 383(6). 558–566. 12 indexed citations
11.
Brouwer, Elizabeth, Anirban Basu, & Kai Yeung. (2019). Adoption of Cost Effectiveness-Driven Value-Based Formularies in Private Health Insurance from 2010 to 2013. PharmacoEconomics. 37(10). 1287–1300. 2 indexed citations
12.
McCurry, Susan M., Michael Von Korff, Charles M. Morin, et al.. (2019). Telephone interventions for co-morbid insomnia and osteoarthritis pain: The OsteoArthritis and Therapy for Sleep (OATS) randomized trial design. Contemporary Clinical Trials. 87. 105851–105851. 6 indexed citations
13.
Yeung, Kai, Kangho Suh, Louis P. Garrison, & Josh J. Carlson. (2019). Defining and Managing High-Priced Cures: Healthcare Payers’ Opinions. Value in Health. 22(6). 648–655. 5 indexed citations
14.
Yeung, Kai. (2019). Value-Based Insurance Design: Current Evidence and Future Directions. Journal of Managed Care & Specialty Pharmacy. 25(7). 738–741. 5 indexed citations
15.
Yeung, Kai, Anirban Basu, Zachary A. Marcum, John B. Watkins, & Sean D. Sullivan. (2017). Impact of a value-based formulary in three chronic disease cohorts.. PubMed. 23(3 Suppl). S46–S53. 6 indexed citations
16.
Jelačić, Srdjan, et al.. (2016). Relative costs of anesthesiologist prepared, hospital pharmacy prepared and outsourced anesthesia drugs. Journal of Clinical Anesthesia. 36. 178–183. 10 indexed citations
17.
Carlson, Josh J., Katharine S. Gries, Kai Yeung, Sean D. Sullivan, & Louis P. Garrison. (2014). Current Status and Trends in Performance-Based Risk-Sharing Arrangements Between Healthcare Payers and Medical Product Manufacturers. Applied Health Economics and Health Policy. 12(3). 231–238. 53 indexed citations
18.
Gold, Laura S., Kai Yeung, Nancy Smith, et al.. (2013). Asthma control, cost and race: results from a national survey. Journal of Asthma. 50(7). 783–790. 22 indexed citations
19.
Littlejohns, Peter, Kai Yeung, Sarah Clark, & Albert Weale. (2012). A proposal for a new social values research program and policy network. Journal of Health Organization and Management. 26(3). 407–421. 5 indexed citations
20.
Yeung, Kai & Josh J. Carlson. (2012). Clinical and economic review of erlotinib in non-small-cell lung cancer. Expert Review of Pharmacoeconomics & Outcomes Research. 12(4). 411–423. 9 indexed citations

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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2026