Jun Yang Lee

527 citations
9 papers · 383 indexed · h-index 9

Impact in

Papers in

Jun Yang Lee

9 papers receiving 372 citations

Peers

Jun Yang Lee
Comparison fields: 5 of 69
  • Family Practice 23
  • Endocrinology, Diabetes and Metabolism 119
  • Applied Psychology 36
  • General Health Professions 168
  • Public Health, Environmental and Occupational Health 101
Replace Nazrila Hairizan Nasir with:
Nazrila Hairizan Nasir Malaysia
Vicky Van Stappen Belgium
Merel M. Ruissen Netherlands
Nathan A. Barleen United States
Sharmala Thuraisingam Australia
Valerio Miselli Italy
Esther Talboom-Kamp Netherlands
Mengqi Zhu United States
Juliana Chan United States
Janine Alessi Brazil
Jun Yang Lee relative to Nazrila Hairizan Nasir Malaysia Nazrila Hairizan Nasir's profile →
Citations per field
00.5×1.5×2.3×
Nazrila Hairizan Nasir · 1×
Citations per year

Countries citing papers authored by Jun Yang Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Yang Lee. 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 Jun Yang Lee. The network helps show where Jun Yang Lee may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Jun Yang Lee, 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 Jun Yang Lee Line = papers co-authored together Jun Yang Lee links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202033
2 201939
3 201953
4 2018117
5 201732
6 201741
7 201612
8 201642
9 201414

About Jun Yang Lee

Jun Yang Lee is a scholar working on Applied Psychology, Endocrinology, Diabetes and Metabolism, General Health Professions, Physiology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 383 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (4 papers), Diabetes Management and Education (3 papers), Dietary Effects on Health (3 papers), Telemedicine and Telehealth Implementation (2 papers), Diabetes Management and Research (2 papers), Retinal Imaging and Analysis (1 paper), ICT in Developing Communities (1 paper) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Family Practice (23 citations), Endocrinology, Diabetes and Metabolism (119 citations), Applied Psychology (36 citations), General Health Professions (168 citations) and Public Health, Environmental and Occupational Health (101 citations). Jun Yang Lee has collaborated with scholars based in Malaysia, Australia and China. Frequent co-authors include Shaun Wen Huey Lee, Chee Piau Wong, Nazrila Hairizan Nasir, Carina K. Y. Chan, Thomas Paraidathathu, Siew Siang Chua, Chirk Jenn Ng, Liang Hong and Ai Kah Soh. Their work appears in journals such as Scientific Reports, BMJ Open, BMC Health Services Research, Medicine and Diabetes Technology & Therapeutics.

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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