I‐Te Lee
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Immunology top 5%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
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- Heme Oxygenase-1 and Carbon Monoxide 8
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- Diabetes, Cardiovascular Risks, and Lipoproteins 11
- Co-authors
- Chuen‐Mao Yang (27 shared papers)Wayne Huey‐Herng Sheu (100 shared papers)Wen‐Jane Lee (68 shared papers)Chih‐Chung Lin (15 shared papers)Shih‐Yi Lin (54 shared papers)Yin‐Ching Chan (8 shared papers)Jun‐Sing Wang (45 shared papers)Chiang‐Wen Lee (9 shared papers)
- Journals
- Clinica Chimica Acta (12 papers)Medicine (10 papers)PLoS ONE (9 papers)Scientific Reports (8 papers)Diabetology & Metabolic Syndrome (8 papers)
- Partner nations
- TaiwanUnited StatesNetherlands
In The Last Decade
I‐Te Lee
205 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 153
- Endocrinology, Diabetes and Metabolism 544
- Immunology 510
- Biochemistry 146
- Physiology 561
- Nephrology 154
Countries citing papers authored by I‐Te Lee
This map shows the geographic impact of I‐Te 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 I‐Te Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Te Lee more than expected).
Fields of papers citing papers by I‐Te Lee
This network shows the impact of papers produced by I‐Te 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 I‐Te Lee. The network helps show where I‐Te Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Te Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 210 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 368 | |
| 2 | 2013 | 208 | |
| 3 | 2008 | 132 | |
| 4 | 2008 | 104 | |
| 5 | 2012 | 100 | |
| 6 | 2009 | 99 | |
| 7 | 2009 | 98 | |
| 8 | 2012 | 95 | |
| 9 | 2010 | 93 | |
| 10 | 2012 | 92 | |
| 11 | 2010 | 91 | |
| 12 | 2008 | 85 | |
| 13 | 2009 | 82 | |
| 14 | 2010 | 82 | |
| 15 | 2012 | 81 | |
| 16 | 2013 | 76 | |
| 17 | 2011 | 68 | |
| 18 | 2016 | 67 | |
| 19 | 2011 | 65 | |
| 20 | 2009 | 63 |
About I‐Te Lee
I‐Te Lee is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 210 papers that have together received 4.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Immune Response and Inflammation (10 papers), Chronic Kidney Disease and Diabetes (9 papers), Peripheral Artery Disease Management (9 papers), Heme Oxygenase-1 and Carbon Monoxide (8 papers), Nerve injury and regeneration (7 papers) and Pain Mechanisms and Treatments (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (544 citations), Immunology (510 citations), Biochemistry (146 citations), Physiology (561 citations) and Nephrology (154 citations). I‐Te Lee has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Chuen‐Mao Yang, Wayne Huey‐Herng Sheu, Wen‐Jane Lee, Chih‐Chung Lin, Shih‐Yi Lin, Yin‐Ching Chan, Jun‐Sing Wang, Chiang‐Wen Lee, Kae‐Woei Liang and Li-Der Hsiao. Their work appears in journals such as Clinica Chimica Acta, Medicine, PLoS ONE, Scientific Reports and Diabetology & Metabolic Syndrome.
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.