K. Stanton

747 total citations
20 papers, 571 citations indexed

About

K. Stanton is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, K. Stanton has authored 20 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Physiology. Recurrent topics in K. Stanton's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Atomic and Subatomic Physics Research (2 papers). K. Stanton is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Atomic and Subatomic Physics Research (2 papers). K. Stanton collaborates with scholars based in Australia, United States and Vietnam. K. Stanton's co-authors include Gursharan Dogra, Gerald F. Watts, Rebekah T. Taylor, Daniel J. Green, G. O’Driscoll, Lisa Rich, Dick C. Chan, David S. Celermajer, Ian J. Constable and Timothy A. Welborn and has published in prestigious journals such as Journal of Clinical Investigation, Medicine & Science in Sports & Exercise and Diabetologia.

In The Last Decade

K. Stanton

17 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Stanton Australia 10 278 150 149 97 51 20 571
Amale Lteif United States 11 408 1.5× 178 1.2× 312 2.1× 98 1.0× 90 1.8× 16 772
Stefano Turchi Italy 12 294 1.1× 235 1.6× 144 1.0× 116 1.2× 186 3.6× 31 722
P. Stávek Czechia 13 183 0.7× 151 1.0× 126 0.8× 172 1.8× 74 1.5× 39 628
Darryl Meeking United Kingdom 10 156 0.6× 124 0.8× 63 0.4× 65 0.7× 62 1.2× 32 453
Wen‐Ya Ma Taiwan 11 86 0.3× 285 1.9× 113 0.8× 70 0.7× 64 1.3× 17 568
A G Rumley United Kingdom 13 72 0.3× 145 1.0× 55 0.4× 58 0.6× 38 0.7× 25 451
Greetje de Vries Netherlands 5 364 1.3× 132 0.9× 381 2.6× 91 0.9× 65 1.3× 5 719
Sameer Stas United States 11 275 1.0× 336 2.2× 172 1.2× 169 1.7× 156 3.1× 12 787
Eita Kumagai Japan 12 133 0.5× 124 0.8× 56 0.4× 64 0.7× 70 1.4× 28 393
H. Steinberg United States 9 215 0.8× 272 1.8× 209 1.4× 92 0.9× 162 3.2× 10 670

Countries citing papers authored by K. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by K. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Stanton. 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 K. Stanton. The network helps show where K. Stanton may publish in the future.

Co-authorship network of co-authors of K. Stanton

This figure shows the co-authorship network connecting the top 25 collaborators of K. Stanton. A scholar is included among the top collaborators of K. Stanton 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 K. Stanton. K. Stanton 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.
Stanton, K., Vivian Kienzle, Wendy Jessup, et al.. (2022). Moderate‐ and High‐Intensity Exercise Improves Lipoprotein Profile and Cholesterol Efflux Capacity in Healthy Young Men. Journal of the American Heart Association. 11(12). e023386–e023386. 21 indexed citations
2.
Stanton, K., Hongjuan Liu, Vivian Kienzle, et al.. (2022). The Effects of Exercise on Plaque Volume and Composition in a Mouse Model of Early and Late Life Atherosclerosis. Frontiers in Cardiovascular Medicine. 9. 837371–837371. 6 indexed citations
3.
Petrie, Katherine, et al.. (2022). Effectiveness of a multi-modal hospital-wide doctor mental health and wellness intervention. BMC Psychiatry. 22(1). 244–244. 5 indexed citations
4.
Stanton, K., et al.. (2022). Soldiers’ Heart: A Prospective Study of Cardiac Remodeling in Soldiers Undergoing Progressive Intensity Exercise Training. Medicine & Science in Sports & Exercise. 54(12). 2011–2019. 4 indexed citations
5.
6.
Koay, Yen Chin, K. Stanton, Vivian Kienzle, et al.. (2020). Effect of chronic exercise in healthy young male adults: a metabolomic analysis. Cardiovascular Research. 117(2). 613–622. 45 indexed citations
7.
Cox, Rachael, Helen Skouteris, Matthew Fuller‐Tyszkiewicz, et al.. (2017). The Healthy Eating, Active Living (HEAL) Study: Outcomes, Lessons Learnt and Future Recommendations. Child Abuse Review. 26(3). 196–214. 9 indexed citations
8.
Cox, Rachael, Helen Skouteris, Matthew Fuller‐Tyszkiewicz, et al.. (2017). A Qualitative Exploration of Coordinators' and Carers' Perceptions of the Healthy Eating, Active Living (HEAL) Programme in Residential Care. Child Abuse Review. 27(2). 122–136. 17 indexed citations
9.
Stanton, K., et al.. (2016). Soldier's Heart: Substantial Left and Right Heart Remodelling Occurs During Military Training. Heart Lung and Circulation. 25. S82–S82.
10.
Stanton, K., Madhusudan Ganigara, Peter Corte, et al.. (2014). The Utility of Cardiac Magnetic Resonance Imaging in the Diagnosis of Cardiac Sarcoidosis. European Respiratory Journal. 26(11). 1191–1199. 1 indexed citations
11.
Ganigara, Madhusudan, et al.. (2014). Utility of cardiac magnetic resonance imaging in the diagnosis of cardiac sarcoidosis. Journal of Cardiovascular Magnetic Resonance. 16. P258–P258. 1 indexed citations
12.
Sherriff, Jill, et al.. (2012). Dietary treatment of hypoglycaemia: should the Australian recommendation be increased?. Internal Medicine Journal. 42(7). 830–833. 10 indexed citations
13.
Dogra, Gursharan, Gerald F. Watts, Dick C. Chan, & K. Stanton. (2005). Statin therapy improves brachial artery vasodilator function in patients with Type 1 diabetes and microalbuminuria. Diabetic Medicine. 22(3). 239–242. 52 indexed citations
14.
Dogra, Gursharan, Lisa Rich, K. Stanton, & Gerald F. Watts. (2001). Endothelium-dependent and independent vasodilation studied at normoglycaemia in Type I diabetes mellitus with and without microalbuminuria. Diabetologia. 44(5). 593–601. 120 indexed citations
15.
Nelson, Suzanne, et al.. (1999). SYMPTOMS OF GASTROESOPHAGEAL DURING INFANCY: 2.5 YEAR FOLLOW-UP. Journal of Pediatric Gastroenterology and Nutrition. 29(4). 500–500. 2 indexed citations
16.
O’Driscoll, G., et al.. (1997). Improvement in endothelial function by angiotensin converting enzyme inhibition in insulin-dependent diabetes mellitus.. Journal of Clinical Investigation. 100(3). 678–684. 187 indexed citations
17.
Masarei, J.R.L., Harri Kiiveri, & K. Stanton. (1986). Risk factors for cardiovascular disease in a diabetic population. Pathology. 18(1). 89–93. 9 indexed citations
18.
Welborn, Timothy A., Matthew Knuiman, V. J. McCann, K. Stanton, & Ian J. Constable. (1984). Clinical macrovascular disease in Caucasoid diabetic subjects: logistic regression analysis of risk variables. Diabetologia. 27(6). 568–573. 49 indexed citations
19.
Masarei, J.R.L., Ian J. Constable, K. Stanton, & Richard E. Davis. (1982). Cholesterol and Lipoprotein-Cholesterol Levels in Western Australian Rural Diabetics. Australian and New Zealand Journal of Medicine. 12(4). 241–247. 4 indexed citations
20.
Stanton, K., et al.. (1970). Forecasting Annual or Seasonal Peak Demand in Electric Utility Systems. IEEE Transactions on Power Apparatus and Systems. PAS-89(5). 951–959. 29 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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