Yau‐Jiunn Lee

4.2k citations
110 papers · 3.4k indexed · 1 hit paper · h-index 28

Yau‐Jiunn Lee

103 papers receiving 3.3k citations

Hit Papers

Elevated Plasma Level of Visfatin/Pre-B Cell Colony-Enhan...5592006202620122019100200300400500

Peers

Yau‐Jiunn Lee
Comparison fields: 5 of 126
  • Endocrine and Autonomic Systems 320
  • Nephrology 331
  • Endocrinology, Diabetes and Metabolism 665
  • Epidemiology 1.3k
  • Cardiology and Cardiovascular Medicine 861
Replace Shyi‐Jang Shin with:
Shyi‐Jang Shin Taiwan
Alper Sönmez Türkiye
Susanne Kaser Austria
Nicola Abate United States
Koichi Kozaki Japan
Apostolos Hatzitolios Greece
Rachel H. Mackey United States
Hsin‐Bang Leu Taiwan
Yasufumi Doi Japan
Dimitrios N. Kiortsis Greece
Yau‐Jiunn Lee relative to Shyi‐Jang Shin Taiwan Shyi‐Jang Shin's profile →
Citations per field
00.5×
Shyi‐Jang Shin · 1×
Citations per year

Countries citing papers authored by Yau‐Jiunn Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yau‐Jiunn Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20242
3 20240
4 20243
5 20241
6 202313
7 20230
8 20230
9 20229
10 20216
11 20215
12 20189
13 201816
14 201777
15 201117
16 201063
17
Elevated Plasma Level of Visfatin/Pre-B Cell Colony-Enhancing Factor in Patients with Type 2 Diabetes Mellitusbreakdown →
2006559
18 200539
19 20043
20 2002123

About Yau‐Jiunn Lee

Yau‐Jiunn Lee is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 110 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (15 papers), Diabetes Management and Education (14 papers), Cardiovascular Function and Risk Factors (14 papers), Liver Disease Diagnosis and Treatment (14 papers), Chronic Disease Management Strategies (11 papers), Alcohol Consumption and Health Effects (10 papers), Diabetes Management and Research (9 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (320 citations), Nephrology (331 citations) and Endocrinology, Diabetes and Metabolism (665 citations). Yau‐Jiunn Lee has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Shyi‐Jang Shin, Fu‐Mei Chung, Jack C.‐R. Tsai, Dao‐Ming Chang, Wei‐Chin Hung, Teng‐Hung Yu, Yu‐Hung Chang, Chao-Ping Wang, Ruey‐Hsia Wang and Yung‐Chuan Lu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Endocrinology.

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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