Lyle G. Best

10.8k total citations
192 papers, 6.6k citations indexed

About

Lyle G. Best is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Lyle G. Best has authored 192 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cardiology and Cardiovascular Medicine, 35 papers in Endocrinology, Diabetes and Metabolism and 34 papers in Molecular Biology. Recurrent topics in Lyle G. Best's work include Cardiovascular Function and Risk Factors (30 papers), Heavy Metal Exposure and Toxicity (25 papers) and Arsenic contamination and mitigation (25 papers). Lyle G. Best is often cited by papers focused on Cardiovascular Function and Risk Factors (30 papers), Heavy Metal Exposure and Toxicity (25 papers) and Arsenic contamination and mitigation (25 papers). Lyle G. Best collaborates with scholars based in United States, Austria and Spain. Lyle G. Best's co-authors include Elisa T. Lee, Barbara V. Howard, Mary J. Roman, Richard B. Devereux, Barbara V. Howard, Richard B. Devereux, Jason G. Umans, Giovanni de Simone, Richard R. Fabsitz and Ana Navas‐Acién and has published in prestigious journals such as Circulation, Annals of Internal Medicine and Journal of the American College of Cardiology.

In The Last Decade

Lyle G. Best

188 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lyle G. Best United States 42 2.6k 1.1k 977 796 766 192 6.6k
Ta‐Chen Su Taiwan 54 1.9k 0.7× 2.4k 2.1× 1.2k 1.2× 837 1.1× 1.4k 1.8× 251 9.1k
Barbara V. Howard United States 44 3.1k 1.2× 617 0.5× 2.2k 2.3× 1.2k 1.5× 871 1.1× 102 7.8k
Anoop Shankar United States 47 848 0.3× 1.9k 1.7× 460 0.5× 409 0.5× 1.1k 1.4× 100 7.2k
Mary L. Biggs United States 39 631 0.2× 1.3k 1.1× 745 0.8× 957 1.2× 527 0.7× 101 5.1k
Dhananjay Vaidya United States 51 3.6k 1.4× 400 0.4× 1.8k 1.8× 2.0k 2.5× 957 1.2× 244 8.9k
Elaine Hoffman United States 38 4.5k 1.7× 742 0.7× 2.5k 2.6× 1.3k 1.6× 1.2k 1.6× 64 10.6k
Meian He China 40 718 0.3× 2.1k 1.9× 650 0.7× 1.2k 1.5× 650 0.8× 273 6.7k
Elly Den Hond Belgium 47 2.0k 0.8× 3.1k 2.8× 470 0.5× 384 0.5× 269 0.4× 133 6.9k
Min Xu China 45 1.3k 0.5× 1.0k 0.9× 1.7k 1.8× 1.5k 1.8× 1.8k 2.4× 322 7.6k
Changchun Xie United States 33 1.4k 0.5× 856 0.8× 274 0.3× 277 0.3× 185 0.2× 108 4.0k

Countries citing papers authored by Lyle G. Best

Since Specialization
Citations

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

Fields of papers citing papers by Lyle G. Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lyle G. Best. 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 Lyle G. Best. The network helps show where Lyle G. Best may publish in the future.

Co-authorship network of co-authors of Lyle G. Best

This figure shows the co-authorship network connecting the top 25 collaborators of Lyle G. Best. A scholar is included among the top collaborators of Lyle G. Best 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 Lyle G. Best. Lyle G. Best 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.
Wen, Xiaoxiao, Amanda M. Fretts, Mingjing Chen, et al.. (2025). Lipidomic Markers of Processed Meat and Unprocessed Red Meat Intake and Risk of Diabetes in American Indians. Diabetes Care. 48(12). 2021–2030.
2.
Sun, Quan, et al.. (2025). Polygenic Scores of Cardiometabolic Risk Factors in American Indian Adults. JAMA Network Open. 8(3). e250535–e250535. 1 indexed citations
3.
Lieberman‐Cribbin, Wil, Arce Domingo‐Relloso, Ronald A. Glabonjat, et al.. (2024). An epigenome-wide study of selenium status and DNA methylation in the Strong Heart Study. Environment International. 191. 108955–108955. 2 indexed citations
4.
Nigra, Anne E., Pablo Olmedo, María Grau-Pérez, et al.. (2024). Geographic and dietary differences of urinary uranium levels in the Strong Heart Family Study. Journal of Exposure Science & Environmental Epidemiology. 35(3). 393–402. 2 indexed citations
5.
Wen, Xiaoxiao, Amanda M. Fretts, Kimberly Malloy, et al.. (2023). Plasma lipidomic markers of diet quality are associated with incident coronary heart disease in American Indian adults: the Strong Heart Family Study. American Journal of Clinical Nutrition. 119(3). 748–755. 5 indexed citations
6.
Domingo‐Relloso, Arce, Roby Joehanes, Lies Lahousse, et al.. (2023). Smoking, blood DNA methylation sites and lung cancer risk. Environmental Pollution. 334. 122153–122153. 5 indexed citations
7.
Chernoff, Meytal, Dayana Delgado, Tong Lin, et al.. (2023). Sequencing-based fine-mapping and in silico functional characterization of the 10q24.32 arsenic metabolism efficiency locus across multiple arsenic-exposed populations. PLoS Genetics. 19(1). e1010588–e1010588. 5 indexed citations
8.
Zhao, Di, Arce Domingo‐Relloso, María Téllez-Plaza, et al.. (2022). High Level of Selenium Exposure in the Strong Heart Study: A Cause for Incident Cardiovascular Disease?. Antioxidants and Redox Signaling. 37(13-15). 990–997. 7 indexed citations
9.
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
10.
Stamou, Maria, Shi‐Yan Ng, Harrison Brand, et al.. (2019). A Balanced Translocation in Kallmann Syndrome Implicates a Long Noncoding RNA, RMST, as a GnRH Neuronal Regulator. The Journal of Clinical Endocrinology & Metabolism. 105(3). e231–e244. 23 indexed citations
11.
Mancusi, Costantino, Giovanni de Simone, Lyle G. Best, et al.. (2019). Myocardial mechano-energetic efficiency and insulin resistance in non-diabetic members of the Strong Heart Study cohort. Cardiovascular Diabetology. 18(1). 56–56. 58 indexed citations
12.
Powers, Martha, Tiffany R. Sanchez, María Grau-Pérez, et al.. (2019). Low-moderate arsenic exposure and respiratory in American Indian communities in the Strong Heart Study. Environmental Health. 18(1). 104–104. 26 indexed citations
13.
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
14.
Moon, Katherine, Ana Navas‐Acién, María Grau-Pérez, et al.. (2017). Low-moderate urine arsenic and biomarkers of thrombosis and inflammation in the Strong Heart Study. PLoS ONE. 12(8). e0182435–e0182435. 15 indexed citations
15.
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
16.
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
17.
Weaver, Michael T., et al.. (2011). Correlates of the FTO Gene Variant (rs9939609) and Growth of American Indian Infants. Genetic Testing and Molecular Biomarkers. 15(9). 633–638. 3 indexed citations
18.
Mottl, Amy K., Suma Vupputuri, Shelley A. Cole, et al.. (2008). Linkage analysis of glomerular filtration rate in American Indians. Kidney International. 74(9). 1185–1191. 13 indexed citations
19.
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
20.
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

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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