Ken Wong

22 papers receiving 612 citations

Peers

Ken Wong
Comparison fields: 5 of 97
  • Family Practice 225
  • Geriatrics and Gerontology 100
  • Endocrinology, Diabetes and Metabolism 181
  • Health Information Management 25
  • General Health Professions 119
Replace Antonio Gimeno‐Miguel with:
Antonio Gimeno‐Miguel Spain
Ana Carolina Melchiors Brazil
Mercedes Aza‐Pascual‐Salcedo Spain
Susanne Danus United States
David Hutchins United States
Natalia Świątoniowska-Lonc Poland
Francesca Venturini Italy
Cherie P. Brunker United States
Ana Paula Martins Portugal
Ami Vyas United States
Ken Wong relative to Antonio Gimeno‐Miguel Spain Antonio Gimeno‐Miguel's profile →
Citations per field
00.5×10.8×
Antonio Gimeno‐Miguel · 1×
Citations per year

Countries citing papers authored by Ken Wong

Since Specialization
Citations

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

Fields of papers citing papers by Ken Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ken Wong, 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 Ken Wong Line = papers co-authored together Ken Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20222
2 20221
3 20196
4 20183
5 201431
6 20141
7 20136
8 20131
9 201239
10 201248
11 201222
12 20118
13 20114
14 201110
15 201123
16 201044
17
Oral antidiabetic medication adherence and glycemic control in managed care.
2008210
18
Copayment level and compliance with antihypertensive medication: analysis and policy implications for managed care.
200676
19 199923
20 199657

About Ken Wong

Ken Wong is a scholar working on Family Practice, Geriatrics and Gerontology, Health Information Management, General Health Professions and Radiological and Ultrasound Technology, having authored 22 papers that have together received 644 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Medication Adherence and Compliance (4 papers), Primary Care and Health Outcomes (4 papers), Blood Pressure and Hypertension Studies (3 papers), Health Policy Implementation Science (2 papers), Clinical practice guidelines implementation (2 papers), Geriatric Care and Nursing Homes (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Family Practice (225 citations), Geriatrics and Gerontology (100 citations), Endocrinology, Diabetes and Metabolism (181 citations), Health Information Management (25 citations) and General Health Professions (119 citations). Ken Wong has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Craig Plauschinat, Jacquelyn Hunt, Yelena Rozenfeld, Deborah A. Taira, Richard Chung, Feride Frech‐Tamas, Talia Foster, Mary Sopta, J. Timothy Westwood and Neil Winegarden. Their work appears in journals such as Journal of the American Society of Hypertension, Cancer Research, BMC Family Practice, Journal of the American Geriatrics Society and Journal of Managed Care & Specialty Pharmacy.

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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