I‐Te Lee

15.5k total citations
223 papers, 5.3k citations indexed

About

I‐Te Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, I‐Te Lee has authored 223 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Endocrinology, Diabetes and Metabolism, 53 papers in Molecular Biology and 37 papers in Surgery. Recurrent topics in I‐Te Lee's work include Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Diabetes Management and Research (21 papers) and Diabetes Treatment and Management (19 papers). I‐Te Lee is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers), Diabetes Management and Research (21 papers) and Diabetes Treatment and Management (19 papers). I‐Te Lee collaborates with scholars based in Taiwan, United States and Netherlands. I‐Te Lee's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

I‐Te Lee

218 papers receiving 5.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I‐Te Lee Taiwan 38 1.7k 774 753 749 625 223 5.3k
Adam Krętowski Poland 37 1.7k 1.0× 1.1k 1.4× 959 1.3× 645 0.9× 739 1.2× 336 5.5k
Tomáš Zima Czechia 41 1.4k 0.8× 870 1.1× 698 0.9× 587 0.8× 822 1.3× 357 6.5k
Martin Hersberger Switzerland 40 1.7k 1.0× 498 0.6× 645 0.9× 1.2k 1.6× 807 1.3× 141 5.5k
Masakazu Shinohara Japan 38 2.2k 1.3× 348 0.4× 660 0.9× 792 1.1× 457 0.7× 172 4.8k
Guangyan Cai China 45 2.2k 1.3× 389 0.5× 1.0k 1.3× 770 1.0× 724 1.2× 338 6.8k
Ping Fu China 38 1.5k 0.9× 535 0.7× 357 0.5× 541 0.7× 606 1.0× 240 5.1k
Andrey V. Grechko Russia 33 1.7k 1.0× 576 0.7× 486 0.6× 1.1k 1.4× 719 1.2× 156 4.5k
Ping Li China 42 2.5k 1.5× 733 0.9× 646 0.9× 661 0.9× 1.4k 2.3× 334 8.3k
Xue Qin China 37 2.3k 1.4× 500 0.6× 472 0.6× 729 1.0× 1.0k 1.6× 348 6.3k
Aihua Zhang China 51 3.9k 2.3× 675 0.9× 734 1.0× 611 0.8× 862 1.4× 313 8.4k

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-authorship network of co-authors of I‐Te Lee

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Te Lee. A scholar is included among the top collaborators of I‐Te 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 I‐Te Lee. I‐Te Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lin, Ching‐Heng, et al.. (2024). Glycemic variability’s impact on painful diabetic peripheral neuropathy in type 2 diabetes patients. Scientific Reports. 14(1). 22276–22276. 4 indexed citations
2.
Sheu, Wayne Huey‐Herng, et al.. (2023). Brain-derived neurotrophic factor associated with kidney function. Diabetology & Metabolic Syndrome. 15(1). 16–16. 8 indexed citations
3.
Li, Yu‐Hsuan, et al.. (2023). The Impact of a Lockdown for the COVID-19 Pandemic on Seasonal HbA1c Variation in Patients with Type 2 Diabetes. Life. 13(3). 763–763. 1 indexed citations
4.
Lin, Ching‐Heng, et al.. (2023). The association between hyperlipidemia, lipid-lowering drugs and diabetic peripheral neuropathy in patients with type 2 diabetes mellitus. PLoS ONE. 18(6). e0287373–e0287373. 5 indexed citations
5.
6.
Lee, I‐Te, et al.. (2021). Comprehensive validation of the FORMOSAT-7/COSMIC-2 electron density profiles and its application to space weather. Terrestrial Atmospheric and Oceanic Sciences. 32(6.1). 3 indexed citations
7.
8.
Lee, Wen‐Jane, Yi‐Ming Chen, Kae‐Woei Liang, et al.. (2021). Familial Hypercholesterolemia Genetic Variations and Long-Term Cardiovascular Outcomes in Patients with Hypercholesterolemia Who Underwent Coronary Angiography. Genes. 12(9). 1413–1413. 3 indexed citations
9.
Li, Yu‐Hsuan, Wayne Huey‐Herng Sheu, & I‐Te Lee. (2020). <p>Influence of Diabetic Retinopathy on the Relationship Between Body Mass Index and Mortality in Patients with Poorly Controlled Type 2 Diabetes</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 907–914. 7 indexed citations
10.
Chang, Jia‐Feng, Shih-Hao Liu, Chih‐Yu Hsieh, et al.. (2019). Targeting ROS and cPLA2/COX2 Expressions Ameliorated Renal Damage in Obese Mice with Endotoxemia. International Journal of Molecular Sciences. 20(18). 4393–4393. 22 indexed citations
11.
Chang, Jia‐Feng, et al.. (2019). Participation of NADPH Oxidase-Related Reactive Oxygen Species in Leptin-Promoted Pulmonary Inflammation: Regulation of cPLA2α and COX-2 Expression. International Journal of Molecular Sciences. 20(5). 1078–1078. 23 indexed citations
12.
Lin, Ching‐Heng, et al.. (2019). Reconfirmation of newly discovered risk factors of diabetic peripheral neuropathy in patients with type 2 diabetes: A case-control study. PLoS ONE. 14(7). e0220175–e0220175. 11 indexed citations
13.
Tseng, Kuo‐Hsin, I‐Te Lee, Jui-Chi Lee, et al.. (2019). Sentinel-1 interferometry with ionospheric correction from global and local TEC maps for land displacement detection in Taiwan. Advances in Space Research. 65(5). 1447–1465. 4 indexed citations
14.
Tsai, Ming-Horng, Chuen‐Mao Yang, Kuo-Ting Chang, et al.. (2018). Carbon monoxide ameliorates Staphylococcus aureus-elicited COX-2/IL-6/MMP-9-dependent human aortic endothelial cell migration and inflammatory responses. Immunology Letters. 203. 40–49. 9 indexed citations
15.
Li, Yu‐Hsuan, Wayne Huey‐Herng Sheu, & I‐Te Lee. (2018). Effects of retinopathy and chronic kidney disease on long-term mortality in type 2 diabetic inpatients with normal urinary albumin or protein: a retrospective cohort study. BMJ Open. 8(7). e021655–e021655. 6 indexed citations
16.
Tsai, Ming-Horng, Chiang‐Wen Lee, Shih-Ming Chu, et al.. (2016). Infectious Complications and Morbidities After Neonatal Bloodstream Infections. Medicine. 95(11). e3078–e3078. 11 indexed citations
17.
Lee, I‐Te, Kae‐Woei Liang, Jun‐Sing Wang, et al.. (2015). Value of Chromosome 9p21 Polymorphism for Prediction of Cardiovascular Mortality in Han Chinese Without Coronary Lesions. Medicine. 94(39). e1538–e1538. 4 indexed citations
18.
19.
Sheu, Wayne Huey‐Herng, Jane Z. Kuo, I‐Te Lee, et al.. (2013). Genome-wide association study in a Chinese population with diabetic retinopathy. Human Molecular Genetics. 22(15). 3165–3173. 69 indexed citations
20.
Lee, I‐Te, Shyi-Wu Wang, Chiang‐Wen Lee, et al.. (2008). Lipoteichoic Acid Induces HO-1 Expression via the TLR2/MyD88/c-Src/NADPH Oxidase Pathway and Nrf2 in Human Tracheal Smooth Muscle Cells. The Journal of Immunology. 181(7). 5098–5110. 134 indexed citations

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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