I‐Te Lee

15.5k citations
223 papers · 5.3k · h-index 38

Impact in

    • 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

I‐Te Lee

218 papers receiving 5.2k citations

Peers

I‐Te Lee
Comparison fields: 5 of 161
  • Endocrinology, Diabetes and Metabolism 774
  • Immunology 749
  • Biochemistry 179
  • Physiology 753
  • Complementary and alternative medicine 225
Replace Cheng Zhang with:
Cheng Zhang China
Alexios S. Antonopoulos Greece
Sebastiano Sciarretta Italy
Ingebjørg Seljeflot Norway
Satoshi Miyata Japan
Zhengyuan Xia China
Mark T. Kearney United Kingdom
Giovanni Li Volti Italy
Francesco Curcio Italy
Andrey V. Grechko Russia
I‐Te Lee relative to Cheng Zhang China Cheng Zhang's profile →
Citations per field
00.5×1.5×
Cheng Zhang · 1×
Citations per year

Countries citing papers authored by I‐Te Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with I‐Te Lee Line = papers co-authored together I‐Te Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012357
2 2013198
3 2009160
4 2008134
5 2008117
6 201299
7 200999
8 200896
9 200995
10 201090
11 201288
12 201087
13 200884
14 201284
15 200980
16 201080
17 201278
18 201274
19 201369
20 201169

About I‐Te Lee

I‐Te Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 223 papers that have together received 5.3k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Diabetes Management and Research (21 papers), Diabetes Treatment and Management (19 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers), Heme Oxygenase-1 and Carbon Monoxide (12 papers), Immune Response and Inflammation (11 papers), Pain Mechanisms and Treatments (10 papers) and Cardiovascular Function and Risk Factors (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (774 citations), Immunology (749 citations), Biochemistry (179 citations), Physiology (753 citations) and Complementary and alternative medicine (225 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, Chih‐Chung Lin, Wen‐Jane Lee, Shih‐Yi Lin, Chiang‐Wen Lee, Yin‐Ching Chan, Jun‐Sing Wang, Li-Der Hsiao and Pei‐Ling Chi. 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.

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