Lloyd E. Chambless

38.9k total citations · 14 hit papers
276 papers, 29.8k citations indexed

About

Lloyd E. Chambless is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lloyd E. Chambless has authored 276 papers receiving a total of 29.8k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Cardiology and Cardiovascular Medicine, 52 papers in Epidemiology and 48 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lloyd E. Chambless's work include Cardiovascular Health and Disease Prevention (57 papers), Blood Pressure and Hypertension Studies (39 papers) and Cerebrovascular and Carotid Artery Diseases (36 papers). Lloyd E. Chambless is often cited by papers focused on Cardiovascular Health and Disease Prevention (57 papers), Blood Pressure and Hypertension Studies (39 papers) and Cerebrovascular and Carotid Artery Diseases (36 papers). Lloyd E. Chambless collaborates with scholars based in United States, Germany and Brazil. Lloyd E. Chambless's co-authors include Aaron R. Folsom, Gerardo Heiss, Wayne D. Rosamond, A. Richey Sharrett, Moysés Szklo, F. Javier Nieto, Paul D. Sorlie, Christie M. Ballantyne, Eyal Shahar and Herman A. Tyroler and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Lloyd E. Chambless

270 papers receiving 28.7k citations

Hit Papers

Association of Coronary H... 1991 2026 2002 2014 1997 2001 2004 1995 1991 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lloyd E. Chambless 14.4k 6.2k 5.1k 4.8k 4.4k 276 29.8k
Michiel L. Bots 16.7k 1.2× 8.6k 1.4× 4.3k 0.9× 6.1k 1.3× 5.1k 1.2× 637 33.8k
Joseph F. Polak 14.8k 1.0× 8.5k 1.4× 4.3k 0.8× 5.0k 1.0× 3.2k 0.7× 319 26.4k
Moysés Szklo 10.3k 0.7× 4.0k 0.6× 3.8k 0.8× 4.3k 0.9× 4.7k 1.1× 389 30.9k
Harold I. Feldman 8.9k 0.6× 7.0k 1.1× 5.5k 1.1× 6.3k 1.3× 4.6k 1.1× 325 42.3k
Daniel H. O’Leary 12.3k 0.9× 6.7k 1.1× 3.3k 0.6× 3.8k 0.8× 3.6k 0.8× 126 22.3k
Graeme J. Hankey 16.5k 1.1× 5.4k 0.9× 8.8k 1.7× 4.3k 0.9× 2.7k 0.6× 670 37.1k
Richard B. Devereux 24.1k 1.7× 6.1k 1.0× 3.3k 0.6× 5.6k 1.2× 5.8k 1.3× 496 35.1k
George Howard 15.5k 1.1× 8.9k 1.4× 12.1k 2.4× 4.2k 0.9× 4.8k 1.1× 632 40.1k
Michael G. Shlipak 10.7k 0.7× 4.7k 0.8× 3.7k 0.7× 4.2k 0.9× 2.9k 0.7× 544 33.0k
Alan S. Go 25.3k 1.8× 5.0k 0.8× 6.5k 1.3× 5.6k 1.2× 3.6k 0.8× 483 47.4k

Countries citing papers authored by Lloyd E. Chambless

Since Specialization
Citations

This map shows the geographic impact of Lloyd E. Chambless'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 Lloyd E. Chambless with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lloyd E. Chambless more than expected).

Fields of papers citing papers by Lloyd E. Chambless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lloyd E. Chambless

This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd E. Chambless. A scholar is included among the top collaborators of Lloyd E. Chambless 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 Lloyd E. Chambless. Lloyd E. Chambless 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.
Yarmolinsky, James, Bruce Bartholow Duncan, Lloyd E. Chambless, et al.. (2015). Artificially Sweetened Beverage Consumption Is Positively Associated with Newly Diagnosed Diabetes in Normal-Weight but Not in Overweight or Obese Brazilian Adults. Journal of Nutrition. 146(2). 290–297. 16 indexed citations
2.
Veronesi, Giovanni, Francesco Gianfagna, Lloyd E. Chambless, et al.. (2013). Long-term prediction of major coronary or ischaemic stroke event in a low-incidence Southern European population: model development and evaluation of clinical utility. BMJ Open. 3(11). e003630–e003630. 7 indexed citations
3.
Agarwal, Sunil, Gerardo Heiss, R. Graham Barr, et al.. (2012). Airflow Obstruction, Lung Function, and Risk of Incident Heart Failure: The Atherosclerosis Risk in Communities (ARIC) Study. European Journal of Heart Failure. 14(4). 414–422. 92 indexed citations
5.
Nambi, Vijay, Lloyd E. Chambless, Max M. He, et al.. (2011). ARTERIAL DIAMETER DOES NOT ADD SIGNIFICANTLY TO CAROTID INTIMA MEDIA THICKNESS AND PLAQUE IN IMPROVING CORONARY HEART DISEASE RISK PREDICTION IN THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY. Journal of the American College of Cardiology. 57(14). E551–E551. 3 indexed citations
6.
Avery, Christy L., Katherine T. Mills, Lloyd E. Chambless, et al.. (2010). Long-Term Association Between Self-Reported Signs and Symptoms and Heart Failure Hospitalizations: The Atherosclerosis Risk In Communities (ARIC) Study. European Journal of Heart Failure. 12(3). 232–238. 11 indexed citations
7.
Nambi, Vijay, Kim Lawson, Ariel Brautbar, et al.. (2010). THE 9P21 GENETIC VARIANT IS ADDITIVE TO CAROTID INTIMA MEDIA THICKNESS AND PLAQUE IN IMPROVING CORONARY HEART DISEASE RISK PREDICTION IN WHITE PARTICIPANTS OF THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY. Journal of the American College of Cardiology. 55(10). A155.E1454–A155.E1454. 1 indexed citations
8.
Yang, Eric, Lloyd E. Chambless, A. Richey Sharrett, et al.. (2010). ARTERIAL WALL CHARACTERISTICS ARE ASSOCIATED WITH INCIDENT CARDIOVASCULAR DISEASE: AN ANALYSIS FROM THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY. Journal of the American College of Cardiology. 55(10). A163.E1529–A163.E1529. 1 indexed citations
9.
Nambi, Vijay, Lloyd E. Chambless, Max M. He, et al.. (2010). COMMON CAROTID ARTERY INTIMA MEDIA THICKNESS ALONE IS COMPARABLE TO CAROTID INTIMA MEDIA THICKNESS OF ALL CAROTID ARTERY SEGMENTS IN IMPROVING CORONARY HEART DISEASE RISK PREDICTION IN THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY. Journal of the American College of Cardiology. 55(10). A137.E1284–A137.E1284. 2 indexed citations
10.
Nambi, Vijay, Lloyd E. Chambless, Aaron R. Folsom, et al.. (2010). Carotid Intima-Media Thickness and Presence or Absence of Plaque Improves Prediction of Coronary Heart Disease Risk. Journal of the American College of Cardiology. 55(15). 1600–1607. 669 indexed citations breakdown →
11.
Rosamond, Wayne D., Patricia P. Chang, C.D. Baggett, et al.. (2009). Abstract 1454: Classification of Heart Failure in the Atherosclerosis Risk in Communities (ARIC) Study: A Comparison With Other Diagnostic Criteria. Circulation. 120. 2 indexed citations
12.
Yang, Eric, Vijay Nambi, Zheng-Zheng Tang, et al.. (2009). Clinical Implications of JUPITER (Justification for the Use of statins in Prevention: an Intervention Trial Evaluating Rosuvastatin) in a U.S. Population. Journal of the American College of Cardiology. 54(25). 2388–2395. 44 indexed citations
13.
Nambi, Vijay, Lloyd E. Chambless, Aaron R. Folsom, et al.. (2007). Abstract 3575: Carotid Intima-media Thickness Improves Coronary Heart Disease Risk Prediction In The Atherosclerosis Risk In Communities (ARIC) Study. Circulation. 116. 1 indexed citations
14.
Payne, Martha E., Pamela S. Haines, Lloyd E. Chambless, John J.B. Anderson, & David C. Steffens. (2006). Food group intake and brain lesions in late-life vascular depression. International Psychogeriatrics. 19(2). 295–305. 12 indexed citations
15.
Vaidean, Georgeta, Emily B. Schroeder, Eric A. Whitsel, et al.. (2005). Short-term repeatability of electrocardiographic spatial T-wave axis and QT interval. Journal of Electrocardiology. 38(2). 139–147. 20 indexed citations
16.
Offenbacher, Steven, James D. Beck, James S. Pankow, et al.. (2004). 1028-166 Association of coronary heart disease with interleukin-1 gene variants in the atherosclerosis risk in communities study. Journal of the American College of Cardiology. 43(5). A453–A453. 1 indexed citations
17.
Roux, Ana V. Diez, Lloyd E. Chambless, Sharon Stein Merkin, et al.. (2002). Socioeconomic disadvantage and change in blood pressure associated with aging. Deep Blue (University of Michigan).
18.
Chambless, Lloyd E., Eyal Shahar, A. Richey Sharrett, et al.. (1996). Association of Transient Ischemic Attack/Stroke Symptoms Assessed by Standardized Questionnaire and Algorithm with Cerebrovascular Risk Factors and Carotid Artery Wall Thickness: The ARIC Study, 1987-1989. American Journal of Epidemiology. 144(9). 857–866. 48 indexed citations
19.
Nabulsi, Azmi, Aaron R. Folsom, Gerardo Heiss, et al.. (1995). Fasting hyperinsulinemia and cardiovascular disease risk factors in nondiabetic adults: Stronger associations in lean versus obese subjects. Metabolism. 44(7). 914–922. 25 indexed citations
20.
Chambless, Lloyd E., et al.. (1985). Maximum likelihood methods for complex sample data: logistic regression and discrete proportional hazards models. Communication in Statistics- Theory and Methods. 14(6). 1377–1392. 49 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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