E. T. Lee

874 total citations
14 papers, 663 citations indexed

About

E. T. Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, E. T. Lee has authored 14 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in E. T. Lee's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Retinal Diseases and Treatments (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). E. T. Lee is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Retinal Diseases and Treatments (3 papers) and Chronic Kidney Disease and Diabetes (3 papers). E. T. Lee collaborates with scholars based in United States, United Kingdom and Japan. E. T. Lee's co-authors include H. Keen, Minjie Lu, J. H. Fuller, P. H. Bennett, Nish Chaturvedi, P. H. Bennett, Thomas K. Welty, Oscar Go, R. R. Fabsitz and B. V. Howard and has published in prestigious journals such as American Journal of Epidemiology, Diabetologia and Journal of Thrombosis and Haemostasis.

In The Last Decade

E. T. Lee

14 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. T. Lee United States 11 368 153 120 92 90 14 663
Nilka Ríos-Burrows United States 5 288 0.8× 80 0.5× 71 0.6× 101 1.1× 121 1.3× 5 729
Irene Vinagre Spain 17 481 1.3× 181 1.2× 190 1.6× 165 1.8× 17 0.2× 64 951
L. K. Stevens United Kingdom 14 525 1.4× 183 1.2× 405 3.4× 140 1.5× 150 1.7× 15 1.0k
Dyah Purnamasari Indonesia 12 279 0.8× 104 0.7× 128 1.1× 207 2.3× 43 0.5× 60 838
Alena Krajčoviechová Czechia 14 124 0.3× 164 1.1× 394 3.3× 148 1.6× 41 0.5× 38 719
Guenter Hoefle Austria 14 246 0.7× 118 0.8× 215 1.8× 215 2.3× 35 0.4× 17 652
Alejandro Díaz González-Colmenero Mexico 8 228 0.6× 67 0.4× 124 1.0× 152 1.7× 41 0.5× 15 445
Louise Stuart United Kingdom 8 144 0.4× 125 0.8× 43 0.4× 168 1.8× 8 0.1× 15 718
Mir Iftikhar Bashir India 12 380 1.0× 149 1.0× 58 0.5× 105 1.1× 34 0.4× 41 779

Countries citing papers authored by E. T. Lee

Since Specialization
Citations

This map shows the geographic impact of E. T. 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 E. T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. T. Lee more than expected).

Fields of papers citing papers by E. T. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. T. 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 E. T. Lee. The network helps show where E. T. Lee may publish in the future.

Co-authorship network of co-authors of E. T. Lee

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

All Works

14 of 14 papers shown
1.
Peng, Hao, Fawn Yeh, Jue Lin, et al.. (2017). Plasminogen activator inhibitor‐1 is associated with leukocyte telomere length in American Indians: findings from the Strong Heart Family Study. Journal of Thrombosis and Haemostasis. 15(6). 1078–1085. 5 indexed citations
2.
Fretts, Amanda M., Barbara V. Howard, Andrea M. Kriska, et al.. (2009). Physical Activity and Incident Diabetes in American Indians: The Strong Heart Study. American Journal of Epidemiology. 170(5). 632–639. 49 indexed citations
3.
Mosher, M. J., Leslie A. Lange, Barbara V. Howard, et al.. (2008). Sex-specific interaction between APOE genotype and carbohydrate intake affects plasma HDL-C levels: the Strong Heart Family Study. Genes & Nutrition. 3(2). 87–97. 10 indexed citations
4.
Bennett, P. H., et al.. (2001). Increased urinary albumin excretion and its associations in the WHO Multinational Study of Vascular Disease in Diabetes. Diabetologia. 44(S2). S37–S45. 29 indexed citations
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Lee, E. T., et al.. (2001). Follow-up of the WHO multinational study of vascular disease in diabetes: general description and morbidity. Diabetologia. 44(S2). S3–S13. 92 indexed citations
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Colhoun, Helen M., E. T. Lee, Minjie Lu, et al.. (2001). Risk factors for renal failure: The WHO multinational study of vascular disease in diabetes. Diabetologia. 44(S2). S46–S53. 71 indexed citations
11.
Lu, Ming‐De, et al.. (2001). The incidence of visual impairment and its determinants in the WHO multinational study of vascular disease in diabetes. Diabetologia. 44(S2). S31–S36. 22 indexed citations
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Fabsitz, R. R., Anton N. Sidawy, Oscar Go, et al.. (1999). Prevalence of Peripheral Arterial Disease and Associated Risk Factors in American Indians: The Strong Heart Study. American Journal of Epidemiology. 149(4). 330–338. 104 indexed citations
14.
Fagot‐Campagna, A., Robert G. Nelson, William C. Knowler, et al.. (1998). Plasma lipoproteins and the incidence of abnormal excretion of albumin in diabetic American Indians: The Strong Heart Study. Diabetologia. 41(9). 1002–1009. 14 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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2026