Cia Sin Lee

467 citations
16 papers · 302 · h-index 7

Impact in

Papers in

Cia Sin Lee

13 papers receiving 294 citations

Peers

Cia Sin Lee
Comparison fields: 5 of 54
  • Family Practice 64
  • Geriatrics and Gerontology 112
  • Health 24
  • Applied Microbiology and Biotechnology 4
  • Endocrinology, Diabetes and Metabolism 25
Replace Francisca Leiva-Fernández with:
Francisca Leiva-Fernández Spain
Samuel F. Stolpe United States
Jann B. Skelton United States
Stacey Frede United States
William M. Ellis United States
Benjamin Y. Urick United States
Laurie Hedlund United States
Marika Pohjanoksa-Mäntylä Finland
Stuart J. Beatty United States
Toni Fera United States
Cia Sin Lee relative to Francisca Leiva-Fernández Spain Francisca Leiva-Fernández's profile →
Citations per field
00.5×1.5×2.3×
Francisca Leiva-Fernández · 1×
Citations per year

Countries citing papers authored by Cia Sin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Cia Sin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Cia Sin 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 Cia Sin Lee Line = papers co-authored together Cia Sin Lee links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201786
2 201972
3 202056
4 202142
5 201815
6 20238
7 20217
8 20176
9 20214
10 20243
11 20241
12 20231
13 20181
14 20240
15 20240
16 20250

About Cia Sin Lee

Cia Sin Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology, Epidemiology, General Health Professions and Health, having authored 16 papers that have together received 302 indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Diabetes Management and Education (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Chronic Disease Management Strategies (3 papers), Vaccine Coverage and Hesitancy (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Emergency and Acute Care Studies (1 paper) and Interprofessional Education and Collaboration (1 paper). The work is most often cited by research in Family Practice (64 citations), Geriatrics and Gerontology (112 citations), Health (24 citations), Applied Microbiology and Biotechnology (4 citations) and Endocrinology, Diabetes and Metabolism (25 citations). Cia Sin Lee has collaborated with scholars based in Singapore and Netherlands. Frequent co-authors include Tau Ming Liew, Ngiap Chuan Tan, Yi Ling Eileen Koh, Gerald Choon‐Huat Koh, Seng Bin Ang, Wei Yuan, Yongqing Lin, Pei Gong, Shilpa Tyagi and Qishi Zheng. Their work appears in journals such as BMJ Open, Journal of Telemedicine and Telecare, Journal of General Internal Medicine, Telemedicine Journal and e-Health and Trials.

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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