Wen‐Jane Lee

10.5k citations
105 papers · 1.8k · h-index 26

Impact in

Papers in

Wen‐Jane Lee

105 papers receiving 1.7k citations

Peers

Wen‐Jane Lee
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 364
  • Cardiology and Cardiovascular Medicine 322
  • Nephrology 85
  • Ophthalmology 108
  • Physiology 295
Replace Su Chi Lim with:
Su Chi Lim Singapore
Takahiko Kawamura Japan
Louis Ragolia United States
Shojiro Sawada Japan
Ludovico Coppola Italy
Stephan Schiekofer Germany
Giulio Ceolotto Italy
Biagio Arcidiacono Italy
Fang Sun China
Weixia Sun China
Wen‐Jane Lee relative to Su Chi Lim Singapore Su Chi Lim's profile →
Citations per field
00.5×1.6×
Su Chi Lim · 1×
Citations per year

Countries citing papers authored by Wen‐Jane Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Jane Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200884
2 201369
3 200963
4 201159
5 198954
6 201552
7 201542
8 200939
9 201438
10 200737
11 201236
12 200635
13 201134
14 201332
15 201732
16 201230
17 201830
18 201629
19 200129
20 201828

About Wen‐Jane Lee

Wen‐Jane Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Epidemiology, having authored 105 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Diabetes Treatment and Management (12 papers), Diabetes Management and Research (11 papers), Cardiovascular Disease and Adiposity (11 papers), Cardiovascular Function and Risk Factors (10 papers), Adipose Tissue and Metabolism (8 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (364 citations), Cardiology and Cardiovascular Medicine (322 citations), Nephrology (85 citations), Ophthalmology (108 citations) and Physiology (295 citations). Wen‐Jane Lee has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Wayne Huey‐Herng Sheu, I‐Te Lee, Kae‐Woei Liang, Shih‐Yi Lin, Jun‐Sing Wang, Hsiu‐Chung Ou, Chia‐Po Fu, John Whitmarsh, Wen-Lieng Lee and Ying‐Tsung Chen. Their work appears in journals such as Clinica Chimica Acta, Diabetology & Metabolic Syndrome, Metabolism, Scientific Reports and Medicine.

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.

Explore authors with similar magnitude of impact