Sungwon Yoon

2.2k total citations
115 papers, 1.3k citations indexed

About

Sungwon Yoon is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Sungwon Yoon has authored 115 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in General Health Professions, 27 papers in Public Health, Environmental and Occupational Health and 13 papers in Epidemiology. Recurrent topics in Sungwon Yoon's work include Palliative Care and End-of-Life Issues (12 papers), Mobile Health and mHealth Applications (10 papers) and Chronic Disease Management Strategies (9 papers). Sungwon Yoon is often cited by papers focused on Palliative Care and End-of-Life Issues (12 papers), Mobile Health and mHealth Applications (10 papers) and Chronic Disease Management Strategies (9 papers). Sungwon Yoon collaborates with scholars based in Singapore, United States and South Korea. Sungwon Yoon's co-authors include TH Lam, Yu Heng Kwan, Lian Leng Low, Julian Thumboo, Jie Kie Phang, Truls Østbye, Wwt Lam, Hendra Goh, Marcus Eng Hock Ong and Won‐Moo Hur and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sungwon Yoon

101 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungwon Yoon Singapore 20 335 196 150 143 141 115 1.3k
Rita Gorawara‐Bhat United States 19 554 1.7× 353 1.8× 180 1.2× 217 1.5× 139 1.0× 35 1.5k
Dennis Petrie Australia 24 656 2.0× 251 1.3× 157 1.0× 57 0.4× 336 2.4× 129 1.8k
Natalie Armstrong United Kingdom 23 736 2.2× 307 1.6× 122 0.8× 84 0.6× 157 1.1× 95 1.5k
Li‐Fang Chou Taiwan 19 215 0.6× 146 0.7× 148 1.0× 289 2.0× 121 0.9× 71 1.5k
Kathryn H. Dansky United States 19 613 1.8× 312 1.6× 134 0.9× 182 1.3× 129 0.9× 42 1.3k
Maria Magdalena Bujnowska–Fedak Poland 15 1.0k 3.1× 214 1.1× 193 1.3× 87 0.6× 145 1.0× 57 1.7k
Joseph Vasey United States 21 628 1.9× 215 1.1× 282 1.9× 197 1.4× 117 0.8× 37 1.7k
Mita Sanghavi Goel United States 15 801 2.4× 465 2.4× 189 1.3× 138 1.0× 212 1.5× 30 1.8k
C. Sicotte Canada 17 713 2.1× 342 1.7× 173 1.2× 186 1.3× 264 1.9× 27 2.0k
Sara Jacobs United States 15 693 2.1× 286 1.5× 81 0.5× 77 0.5× 85 0.6× 36 1.4k

Countries citing papers authored by Sungwon Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sungwon Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungwon Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Sungwon Yoon. A scholar is included among the top collaborators of Sungwon Yoon 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 Sungwon Yoon. Sungwon Yoon 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.
Leung, Ying Ying, et al.. (2025). Development of START, a novel multimedia-based symptom appraisal tool for autoimmune rheumatic diseases. Lara D. Veeken. 64(6). 3334–3343. 1 indexed citations
2.
Yoon, Sungwon, et al.. (2024). Comparing situational influences on differential healthcare utilization trajectories in patients on home palliative care: A qualitative study. Palliative & Supportive Care. 22(6). 1785–1792. 2 indexed citations
3.
Yoon, Sungwon, Hendra Goh, Phong Ching Lee, et al.. (2024). Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence–Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study. JMIR Human Factors. 11. e50939–e50939. 4 indexed citations
4.
Low, Lian Leng, et al.. (2024). Exploring the Determinants of Age-Friendly Neighbourhoods Among Seniors Residing in a Low-Income Urban Community in Singapore: A Participatory Study. Studies in health technology and informatics. 319. 518–537. 1 indexed citations
6.
Yoon, Sungwon, Andrea Hsiu Ling Low, Ying Ying Leung, et al.. (2023). Symptom Appraisal and Help-Seeking Among Patients With Autoimmune Rheumatic Diseases: A Qualitative Study. The Journal of Rheumatology. 50(12). 1624–1632. 3 indexed citations
7.
Yoon, Sungwon, et al.. (2023). Social cognitive theory to improve symptom appraisal and help‐seeking among patients with autoimmune rheumatic diseases: A qualitative study. International Journal of Rheumatic Diseases. 26(11). 2258–2266. 2 indexed citations
8.
Kwan, Yu Heng, et al.. (2023). A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings. Patient Preference and Adherence. Volume 17. 1–11. 19 indexed citations
9.
Yoon, Sungwon, et al.. (2023). Factors influencing medication adherence in multi-ethnic Asian patients with chronic diseases in Singapore: A qualitative study. Frontiers in Pharmacology. 14. 1124297–1124297. 24 indexed citations
10.
Lim, Haikel A., et al.. (2022). Building Digital Literacy in Older Adults of Low Socioeconomic Status in Singapore (Project Wire Up): Nonrandomized Controlled Trial. Journal of Medical Internet Research. 24(12). e40341–e40341. 39 indexed citations
11.
Tan, Ngiap Chuan, et al.. (2022). Healthcare professionals’ perspectives on facilitators of and barriers to CKD management in primary care: a qualitative study in Singapore clinics. BMC Health Services Research. 22(1). 560–560. 14 indexed citations
13.
Yoon, Sungwon, Hendra Goh, Sze Ling Chan, et al.. (2022). Parents’ priorities for decision-making of pediatric epilepsy treatments and perceived needs for decision support in multi-ethnic Asian clinical setting: A qualitative analysis. Epilepsy & Behavior. 135. 108880–108880. 3 indexed citations
14.
Gao, Fei, Swee Yaw Tan, Woon‐Puay Koh, et al.. (2021). Public perceptions and knowledge of cholesterol management in a multi-ethnic Asian population: A population-based survey. PLoS ONE. 16(8). e0256218–e0256218. 4 indexed citations
15.
Low, Andrea Hsiu Ling, Ying Ying Leung, Warren Fong, et al.. (2021). Interval between symptom onset and diagnosis among patients with autoimmune rheumatic diseases in a multi‐ethnic Asian population. International Journal of Rheumatic Diseases. 24(8). 1061–1070. 9 indexed citations
17.
Tan, Ngiap Chuan, et al.. (2020). Perceived barriers and facilitators to chronic kidney disease care among patients in Singapore: a qualitative study. BMJ Open. 10(10). e041788–e041788. 15 indexed citations
19.
Yoon, Sungwon. (2012). An Operational System Design for Chorus Education in Elementary and Secondary Schools. 81–98. 1 indexed citations
20.
Yoon, Sungwon & TH Lam. (2012). The alcohol industry lobby and Hong Kong’s zero wine and beer tax policy. BMC Public Health. 12(1). 717–717. 22 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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