Woo Je Lee
- Endocrinology, Diabetes and Metabolism top 1%
- Epidemiology top 2%
- Physiology top 2%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Joong‐Yeol ParkChang Hee JungYu Mi KangMin Jung LeeHong‐Kyu KimYun Kyung ChoEun Hee KohKee‐Ho Song
- Topics
- Diabetes Treatment and Management (29 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (27 papers)Metabolism, Diabetes, and Cancer (25 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Woo Je Lee
140 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Endocrinology, Diabetes and Metabolism 1.2k
- Epidemiology 1.1k
- Physiology 988
- Molecular Biology 872
- Cardiology and Cardiovascular Medicine 735
Countries citing papers authored by Woo Je Lee
This map shows the geographic impact of Woo Je 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 Woo Je Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo Je Lee more than expected).
Fields of papers citing papers by Woo Je Lee
This network shows the impact of papers produced by Woo Je 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 Woo Je Lee. The network helps show where Woo Je Lee may publish in the future.
Co-authorship network of co-authors of Woo Je Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Woo Je Lee. A scholar is included among the top collaborators of Woo Je Lee 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 Woo Je Lee. Woo Je Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 38 | |
| 6 | 27 | |
| 7 | 6 | |
| 8 | 32 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 14 | |
| 12 | 50 | |
| 13 | 29 | |
| 14 | 41 | |
| 15 | 10 | |
| 16 | 48 | |
| 17 | 14 | |
| 18 | A Case of MELAS Syndrome Diagnosed in a Woman in Her 50s | 0 |
| 19 | A Case of Nonketotic Hyperglycemia as a Manifestation of Generalized Convulsive Status Epilepticus | 0 |
| 20 | Improvement of Metabolic Syndrom by Alpha-lipoic Acid. | 0 |
About Woo Je Lee
Woo Je Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 148 papers that have together received 3.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (27 papers) and Metabolism, Diabetes, and Cancer (25 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Biochemistry (374 citations) and Physiology (988 citations). Woo Je Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joong‐Yeol Park, Chang Hee Jung, Yu Mi Kang, Min Jung Lee, Hong‐Kyu Kim, Yun Kyung Cho, Eun Hee Koh, Kee‐Ho Song, Jenie Yoonoo Hwang and Eun Hee Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Circulation Research.
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.