Mei‐Chen Lee

31 papers receiving 527 citations

Peers

Mei‐Chen Lee
Comparison fields: 5 of 87
  • Nephrology 69
  • Endocrinology, Diabetes and Metabolism 156
  • Family Practice 10
  • Geriatrics and Gerontology 14
  • Leadership and Management 5
Replace Michelle Swab with:
Michelle Swab Canada
Suk Jeong Lee South Korea
Alline Beleigoli Australia
Guillermo Molina‐Recio Spain
Narendra Singh Canada
Torsten Christensen Denmark
Nick Hex United Kingdom
Fulya Türker Türkiye
Nedra Christensen United States
Selda Gedik Türkiye
Mei‐Chen Lee relative to Michelle Swab Canada Michelle Swab's profile →
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Citations per year

Countries citing papers authored by Mei‐Chen Lee

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Chen Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Chen 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 Mei‐Chen Lee. The network helps show where Mei‐Chen Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201180
2 201663
3 201351
4 201150
5 201338
6 202136
7 201527
8 202026
9 202125
10 202117
11 202214
12 201214
13 201912
14 201311
15 201411
16 20229
17 20228
18 20228
19 20206
20 20226

About Mei‐Chen Lee

Mei‐Chen Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine, Epidemiology and General Health Professions, having authored 34 papers that have together received 544 indexed citations. Recurring topics across this work include Diabetes Management and Education (8 papers), Dialysis and Renal Disease Management (4 papers), Chronic Disease Management Strategies (4 papers), Diabetes Management and Research (2 papers), Wireless Communication Networks Research (2 papers), Blood Pressure and Hypertension Studies (2 papers), Advanced Wireless Communication Techniques (2 papers) and Nursing care and research (2 papers). The work is most often cited by research in Nephrology (69 citations), Endocrinology, Diabetes and Metabolism (156 citations), Family Practice (10 citations), Geriatrics and Gerontology (14 citations) and Leadership and Management (5 citations). Mei‐Chen Lee has collaborated with scholars based in Taiwan, Vietnam and United States. Frequent co-authors include Shu‐Fang Vivienne Wu, Shu‐Yuan Liang, Tsae‐Jyy Wang, Heng‐Hsin Tung, Nan‐Chen Hsieh, Shu-Fang Vivienne Wu, Kuo‐Cheng Lu, Yi‐Ching Huang, Yi-Ching Huang and Yeu‐Hui Chuang. Their work appears in journals such as Journal of Clinical Nursing, Contemporary Nurse, Journal of Advanced Nursing, Nursing and Health Sciences and International Journal of Environmental Research and Public Health.

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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