William C. Stanley

18.7k total citations · 2 hit papers
206 papers, 14.7k citations indexed

About

William C. Stanley is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, William C. Stanley has authored 206 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Cardiology and Cardiovascular Medicine, 75 papers in Molecular Biology and 62 papers in Physiology. Recurrent topics in William C. Stanley's work include Cardiovascular Function and Risk Factors (93 papers), Adipose Tissue and Metabolism (41 papers) and Mitochondrial Function and Pathology (40 papers). William C. Stanley is often cited by papers focused on Cardiovascular Function and Risk Factors (93 papers), Adipose Tissue and Metabolism (41 papers) and Mitochondrial Function and Pathology (40 papers). William C. Stanley collaborates with scholars based in United States, Canada and Italy. William C. Stanley's co-authors include Gary D. Lopaschuk, Fabio A. Recchia, Clifford D.L. Folmes, John R. Ussher, Jagdip S. Jaswal, Margaret P. Chandler, Hani N. Sabbah, Edward W. Gertz, Richard A. Neese and Karen M. O’Shea and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

William C. Stanley

204 papers receiving 14.4k citations

Hit Papers

align trajectories

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.

Myocardial Fatty Acid Metabolism in Health and Disease

2010 1.6k citations Gary D. Lopaschuk, William C. Stanley et al. profile →
Myocardial Substrate Metabolism in the Normal and Failing Heart

2005 1.6k citations William C. Stanley, Fabio A. Recchia et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William C. Stanley United States	62	6.7k	6.7k	4.3k	1.7k	1.5k	206	14.7k
Heinrich Taegtmeyer United States	68	7.5k 1.1×	7.6k 1.1×	4.6k 1.1×	1.5k 0.9×	1.8k 1.2×	251	16.7k
Jean‐Luc Balligand Belgium	61	5.3k 0.8×	5.3k 0.8×	5.7k 1.3×	1.9k 1.1×	434 0.3×	182	13.1k
Rong Tian United States	64	8.0k 1.2×	4.9k 0.7×	2.8k 0.7×	1.3k 0.8×	799 0.5×	197	13.6k
Naranjan S. Dhalla Canada	64	8.5k 1.3×	8.8k 1.3×	2.7k 0.6×	3.9k 2.3×	674 0.4×	596	18.2k
Mitsuhiro Yokoyama Japan	66	4.0k 0.6×	5.1k 0.8×	4.3k 1.0×	826 0.5×	724 0.5×	376	15.8k
Thomas H. Hintze United States	54	3.1k 0.5×	6.0k 0.9×	4.6k 1.1×	1.6k 1.0×	981 0.6×	202	11.2k
Howard A. Rockman United States	71	12.4k 1.8×	8.3k 1.2×	2.2k 0.5×	1.0k 0.6×	632 0.4×	204	18.2k
Michael S. Wolin United States	67	4.7k 0.7×	4.5k 0.7×	8.2k 1.9×	1.9k 1.2×	430 0.3×	224	15.5k
Kieran Clarke United Kingdom	70	4.2k 0.6×	4.7k 0.7×	5.4k 1.3×	688 0.4×	2.5k 1.6×	227	13.7k
Jason R.B. Dyck Canada	81	10.4k 1.6×	5.9k 0.9×	6.3k 1.4×	1.3k 0.8×	678 0.4×	298	21.3k

Countries citing papers authored by William C. Stanley

Since Specialization

Citations

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

Fields of papers citing papers by William C. Stanley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William C. Stanley. 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 William C. Stanley. The network helps show where William C. Stanley may publish in the future.

Co-authorship network of co-authors of William C. Stanley

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

All Works

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20 of 20 papers shown

Stanley, William C., James W. Cox, Girma Asemu, et al.. (2013). Evaluation of Docosahexaenoic Acid in a Dog Model of Hypertension Induced Left Ventricular Hypertrophy. Journal of Cardiovascular Translational Research. 6(6). 1000–1010. 7 indexed citations

Lionetti, Vincenzo, William C. Stanley, & Fabio A. Recchia. (2011). Modulating fatty acid oxidation in heart failure. Cardiovascular Research. 90(2). 202–209. 190 indexed citations

Khairallah, Ramzi J., Genevieve C. Sparagna, Karen M. O’Shea, et al.. (2010). Dietary supplementation with docosahexaenoic acid, but not eicosapentaenoic acid, dramatically alters cardiac mitochondrial phospholipid fatty acid composition and prevents permeability transition. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1797(8). 1555–1562. 65 indexed citations

Shah, Keyur B., Monika Duda, Karen M. O’Shea, et al.. (2009). The Cardioprotective Effects of Fish Oil During Pressure Overload Are Blocked by High Fat Intake. Hypertension. 54(3). 605–611. 38 indexed citations

Duda, Monika, Karen M. O’Shea, & William C. Stanley. (2009). -3 polyunsaturated fatty acid supplementation for the treatment of heart failure: mechanisms and clinical potential. Cardiovascular Research. 84(1). 33–41. 91 indexed citations

Young, Martin E., et al.. (2008). Expression of mitochondrial regulatory genes parallels respiratory capacity and contractile function in a rat model of hypoxia-induced right ventricular hypertrophy. Molecular and Cellular Biochemistry. 318(1-2). 175–181. 15 indexed citations

Lei, Biao, David J. Chess, Wendy Keung, et al.. (2008). Transient activation of P38 MAP kinase and up-regulation of Pim-1 kinase in cardiac hypertrophy despite no activation of AMPK. Journal of Molecular and Cellular Cardiology. 45(3). 404–410. 15 indexed citations

Chess, David J., Wenhong Xu, Ramzi J. Khairallah, et al.. (2008). The antioxidant tempol attenuates pressure overload-induced cardiac hypertrophy and contractile dysfunction in mice fed a high-fructose diet. American Journal of Physiology-Heart and Circulatory Physiology. 295(6). H2223–H2230. 46 indexed citations

King, Kristen L., Martin E. Young, János Kerner, et al.. (2007). Diabetes or peroxisome proliferator-activated receptor α agonist increases mitochondrial thioesterase I activity in heart. Journal of Lipid Research. 48(7). 1511–1517. 36 indexed citations

10.

Duda, Monika, Karen M. O’Shea, Brian R. Barrows, et al.. (2007). Dietary supplementation with ω-3 PUFA increases adiponectin and attenuates ventricular remodeling and dysfunction with pressure overload. Cardiovascular Research. 76(2). 303–310. 90 indexed citations

11.

Morgan, Eric E., Margaret P. Chandler, Martin E. Young, et al.. (2006). Dissociation Between Gene and Protein Expression of Metabolic Enzymes in a Rodent Model of Heart Failure. European Journal of Heart Failure. 8(7). 687–693. 33 indexed citations

12.

Zhou, Lufang, Xin Yu, Marco E. Cabrera, & William C. Stanley. (2006). Role of Cellular Compartmentation in the Metabolic Response to Stress. Annals of the New York Academy of Sciences. 1080(1). 120–139. 7 indexed citations

13.

Okere, Isidore C, Margaret P. Chandler, Tracy A McElfresh, et al.. (2006). CARNITINE PALMITOYL TRANSFERASE‐I INHIBITION IS NOT ASSOCIATED WITH CARDIAC HYPERTROPHY IN RATS FED A HIGH‐FAT DIET. Clinical and Experimental Pharmacology and Physiology. 34(1-2). 113–119. 28 indexed citations

14.

Lopaschuk, Gary D. & William C. Stanley. (2006). Malonyl-CoA Decarboxylase Inhibition as a Novel Approach to Treat Ischemic Heart Disease. Cardiovascular Drugs and Therapy. 20(6). 433–439. 27 indexed citations

15.

Stanley, William C. & Hani N. Sabbah. (2005). Metabolic Therapy for Ischemic Heart Disease: The Rationale for Inhibition of Fatty Acid Oxidation. Heart Failure Reviews. 10(4). 275–279. 22 indexed citations

16.

Chandler, Margaret P., János Kerner, Hazel Huang, et al.. (2004). Moderate severity heart failure does not involve a downregulation of myocardial fatty acid oxidation. American Journal of Physiology-Heart and Circulatory Physiology. 287(4). H1538–H1543. 103 indexed citations

17.

Reszko, Aneta E., Takhar Kasumov, France David, et al.. (2003). Assessing the Reversibility of the Anaplerotic Reactions of the Propionyl-CoA Pathway in Heart and Liver. Journal of Biological Chemistry. 278(37). 34959–34965. 45 indexed citations

18.

Stanley, William C., Jennifer L. Hall, Kevin R. Smith, et al.. (1994). Myocardial glucose transporters and glycolytic metabolism during ischemia in hyperglycemic diabetic swine. Metabolism. 43(1). 61–69. 26 indexed citations

19.

Gertz, Edward W., J A Wisneski, William C. Stanley, & Richard A. Neese. (1988). Myocardial substrate utilization during exercise in humans. Dual carbon-labeled carbohydrate isotope experiments.. Journal of Clinical Investigation. 82(6). 2017–2025. 278 indexed citations

20.

Stanley, William C., Richard A. Neese, Edward W. Gertz, et al.. (1986). Tracer measured substrate turnover requires arterial sampling downstream of infusion site. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 1 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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