Elisa T. Lee

26.9k total citations · 7 hit papers
246 papers, 20.5k citations indexed

About

Elisa T. Lee is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Elisa T. Lee has authored 246 papers receiving a total of 20.5k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Cardiology and Cardiovascular Medicine, 77 papers in Endocrinology, Diabetes and Metabolism and 47 papers in Epidemiology. Recurrent topics in Elisa T. Lee's work include Diabetes, Cardiovascular Risks, and Lipoproteins (64 papers), Cardiovascular Function and Risk Factors (54 papers) and Blood Pressure and Hypertension Studies (26 papers). Elisa T. Lee is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (64 papers), Cardiovascular Function and Risk Factors (54 papers) and Blood Pressure and Hypertension Studies (26 papers). Elisa T. Lee collaborates with scholars based in United States, Italy and China. Elisa T. Lee's co-authors include Peter A. Lachenbruch, Barbara V. Howard, Thomas K. Welty, Mary J. Roman, Richard R. Fabsitz, Richard B. Devereux, Lyle G. Best, Barbara V. Howard, Richard B. Devereux and John Wenyu Wang and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Elisa T. Lee

241 papers receiving 19.5k citations

Hit Papers

Sleep-disordered Breathing and Cardiova... 1972 2026 1990 2008 2001 1993 2007 2003 2000 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Sleep-disordered Breathing and Cardiovascular Disease
    2001 2.2k citations Eyal Shahar, Coralyn W. Whitney et al. American Journal of Respiratory and Critical Care Medicine profile →
  2. Statistical Methods for Survival Data Analysis.
    1993 2.0k citations Elisa T. Lee et al. profile →
  3. Central Pressure More Strongly Relates to Vascular Disease and Outcome Than Does Brachial Pressure
    2007 952 citations Mary J. Roman, Richard B. Devereux et al. Hypertension profile →
  4. Statistical Methods for Survival Data Analysis
    2003 776 citations Elisa T. Lee, John Wenyu Wang Wiley series in probability and statistics profile →
  5. Impact of Diabetes on Cardiac Structure and Function
    2000 732 citations Richard B. Devereux, Mary J. Roman et al. Circulation profile →
  6. A computer program for comparing K samples with right-censored data
    1972 674 citations Elisa T. Lee et al. profile →
  7. THE STRONG HEART STUDY A STUDY OF CARDIOVASCULAR DISEASE IN AMERICAN INDIANS: DESIGN AND METHODS
    1990 496 citations Elisa T. Lee, Thomas K. Welty et al. profile →

Peers

Elisa T. Lee
Veikko Salomaa Finland
Carmine Zoccali Italy
Theo Stijnen Netherlands
John E. Hall United States
Jill P. Pell United Kingdom
Giovanni Tripepi Italy
Donna K. Arnett United States
Gian Franco Gensini Italy
John Danesh United Kingdom
Mark Richards New Zealand
Veikko Salomaa Finland
Elisa T. Lee
Citations per year, relative to Elisa T. Lee Elisa T. Lee (= 1×) peers Veikko Salomaa

Countries citing papers authored by Elisa T. Lee

Since Specialization
Citations

This map shows the geographic impact of Elisa 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 Elisa 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 Elisa T. Lee more than expected).

Fields of papers citing papers by Elisa T. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Elisa T. Lee. A scholar is included among the top collaborators of Elisa 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 Elisa T. Lee. Elisa T. 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.
Reese, Jessica, Mary J. Roman, Jason F. Deen, et al.. (2024). Dyslipidemia in American Indian Adolescents and Young Adults: Strong Heart Family Study. Journal of the American Heart Association. 13(6). e031741–e031741. 9 indexed citations
2.
Deen, Jason F., Mingjing Chen, Ying Zhang, et al.. (2023). Plasma lipidomic profile of depressive symptoms: a longitudinal study in a large sample of community-dwelling American Indians in the strong heart study. Molecular Psychiatry. 28(6). 2480–2489. 19 indexed citations
3.
Zhang, Ying, Jason G. Umans, Elisa T. Lee, et al.. (2023). Longitudinal Lipidomic Profile of Hypertension in American Indians: Findings From the Strong Heart Family Study. Hypertension. 80(8). 1771–1783. 5 indexed citations
4.
Fiehn, Oliver, Kimberly Malloy, Ying Zhang, et al.. (2023). Longitudinal lipidomic signatures of all-cause and CVD mortality in American Indians: findings from the Strong Heart Study. GeroScience. 45(4). 2669–2687. 6 indexed citations
5.
Shara, Nawar, Sameer Desale, Barbara V. Howard, et al.. (2020). Modified Pooled Cohort Atherosclerotic Cardiovascular Disease Risk Prediction Equations in American Indians. 2(1). 5–14. 1 indexed citations
6.
Jensen, Paul N., Barbara V. Howard, Lyle G. Best, et al.. (2019). Associations of diet soda and non-caloric artificial sweetener use with markers of glucose and insulin homeostasis and incident diabetes: the Strong Heart Family Study. European Journal of Clinical Nutrition. 74(2). 322–327. 16 indexed citations
7.
Marco, Marina De, Eva Gerdts, Costantino Mancusi, et al.. (2017). Influence of Left Ventricular Stroke Volume on Incident Heart Failure in a Population With Preserved Ejection Fraction (from the Strong Heart Study). The American Journal of Cardiology. 119(7). 1047–1052. 53 indexed citations
8.
Bella, Jonathan N., Shelley A. Cole, Laura Almasy, et al.. (2013). Genome-wide linkage analysis of carotid artery lumen diameter: The strong heart family study. International Journal of Cardiology. 168(4). 3902–3908. 7 indexed citations
9.
Liu, Shuqian, Wenyu Wang, Xiaoguang Yang, et al.. (2011). Peer Reviewed: Prevalence of Diabetes and Impaired Fasting Glucose in Chinese Adults, China National Nutrition and Health Survey, 2002. Preventing Chronic Disease. 8(1). 1 indexed citations
10.
Calhoun, Darren, Janette Beals, Elizabeth A. Carter, et al.. (2009). Relationship between glycemic control and depression among American Indians in the Strong Heart Study. Journal of Diabetes and its Complications. 24(4). 217–222. 27 indexed citations
11.
Roman, Mary J., Richard B. Devereux, Jorge R. Kizer, et al.. (2008). Abstract 6203: Central Pulse Pressure ≥50 mmHg Predicts Adverse Cardiovascular Outcome: The Strong Heart Study. Circulation. 118. 1 indexed citations
12.
Howard, Barbara V., Mary J. Roman, Richard B. Devereux, et al.. (2008). Effect of Lower Targets for Blood Pressure and LDL Cholesterol on Atherosclerosis in Diabetes: The SANDS Randomized Trial. Obstetrical & Gynecological Survey. 63(8). 512–513. 13 indexed citations
13.
Cicala, Silvana, Giovanni de Simone, Mary J. Roman, et al.. (2007). Prevalence and Prognostic Significance of Wall-Motion Abnormalities in Adults Without Clinically Recognized Cardiovascular Disease. Circulation. 116(2). 143–150. 69 indexed citations
14.
Lee, Elisa T.. (2005). Visual Impairment and Eye Abnormalities in Oklahoma Indians. Archives of Ophthalmology. 123(12). 1699–1699. 20 indexed citations
15.
Schaffer, Wendy, James M. Galloway, Mary J. Roman, et al.. (2003). Prevalence and correlates of rheumatic heart disease in American Indians (The Strong Heart Study)**This study presents views of the authors and not necessarily those of the Indian Health Service.. The American Journal of Cardiology. 91(11). 1379–1382. 13 indexed citations
16.
Lee, Elisa T. & John Wenyu Wang. (2003). Statistical Methods for Survival Data Analysis. Wiley series in probability and statistics. 776 indexed citations breakdown →
17.
Levy, Andrew P., Irit Hochberg, Kathleen Jablonski, et al.. (2002). Haptoglobin phenotype is an independent risk factor for cardiovascular disease in individuals with diabetes. Journal of the American College of Cardiology. 40(11). 1984–1990. 224 indexed citations
18.
Shahar, Eyal, Coralyn W. Whitney, Susan Redline, et al.. (2001). Sleep-disordered Breathing and Cardiovascular Disease. American Journal of Respiratory and Critical Care Medicine. 163(1). 19–25. 2220 indexed citations breakdown →
19.
Oopik, Arvo J., Richard B. Devereux, Jeun-Liang Yeh, et al.. (1996). Major electrocardiographic abnormalities among American Indians aged 45 to 74 years (the strong heart study). The American Journal of Cardiology. 78(12). 1400–1405. 24 indexed citations
20.
Ziegel, Eric R. & Elisa T. Lee. (1993). Statistical Methods for Survival Data Analysis. Technometrics. 35(1). 101–101. 394 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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