Aaron J. Trask

2.3k total citations
57 papers, 1.7k citations indexed

About

Aaron J. Trask is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Aaron J. Trask has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cardiology and Cardiovascular Medicine, 14 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Aaron J. Trask's work include Cardiovascular Function and Risk Factors (14 papers), Renin-Angiotensin System Studies (11 papers) and Hormonal Regulation and Hypertension (9 papers). Aaron J. Trask is often cited by papers focused on Cardiovascular Function and Risk Factors (14 papers), Renin-Angiotensin System Studies (11 papers) and Hormonal Regulation and Hypertension (9 papers). Aaron J. Trask collaborates with scholars based in United States, Brazil and United Kingdom. Aaron J. Trask's co-authors include Carlos M. Ferrario, Jewell A. Jessup, Mark C. Chappell, Pamela A. Lucchesi, Adrian C. Eddy, Hicham Labazi, Paige S. Katz, Jasmina Varagić, Brenda Lilly and Mary J. Cismowski and has published in prestigious journals such as PLoS ONE, Circulation Research and Scientific Reports.

In The Last Decade

Aaron J. Trask

57 papers receiving 1.7k citations

Peers

Aaron J. Trask

CCM

EDM

SURGE

PHYSI

Johannes Stegbauer Germany

María Paz Ocaranza Chile

Elena Kaschina Germany

Romer A. González-Villalobos United States

Ryousuke Satou United States

Florian Gembardt Germany

Jasmina Varagić United States

Joseph Zimpelmann Canada

Masayuki Kambe Japan

Nirmal Parajuli Canada

Johannes Stegbauer Germany

Aaron J. Trask

997 ×1.0

CCM

564 ×1.2

EDM

663 ×1.4

339 ×1.3

SURGE

313 ×1.3

PHYSI

Citations per year, relative to Aaron J. Trask Aaron J. Trask (= 1×) peers Johannes Stegbauer

Countries citing papers authored by Aaron J. Trask

Since Specialization

Citations

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

Fields of papers citing papers by Aaron J. Trask

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron J. Trask. 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 Aaron J. Trask. The network helps show where Aaron J. Trask may publish in the future.

Co-authorship network of co-authors of Aaron J. Trask

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron J. Trask. A scholar is included among the top collaborators of Aaron J. Trask 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 Aaron J. Trask. Aaron J. Trask 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

Chade, Alejandro, et al.. (2024). Expanding landscape of coronary microvascular disease in co-morbid conditions: Metabolic disease and beyond. Journal of Molecular and Cellular Cardiology. 192. 26–35. 2 indexed citations

Ray, William C., et al.. (2024). Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research. American Journal of Physiology-Heart and Circulatory Physiology. 327(2). H417–H432. 1 indexed citations

Bartlett, Christopher W., Yukie Ueyama, Donna A. Santillan, et al.. (2023). Invasive or More Direct Measurements Can Provide an Objective Early-Stopping Ceiling for Training Deep Neural Networks on Non-invasive or Less-Direct Biomedical Data. SN Computer Science. 4(2). 161–161. 9 indexed citations

Tune, Johnathan D., Adam G. Goodwill, Hana E. Baker, et al.. (2022). Chronic high-rate pacing induces heart failure with preserved ejection fraction-like phenotype in Ossabaw swine. Basic Research in Cardiology. 117(1). 50–50. 3 indexed citations

Ueyama, Yukie, et al.. (2022). Improvement of automated analysis of coronary Doppler echocardiograms. Scientific Reports. 12(1). 7490–7490. 2 indexed citations

Wenceslau, Camilla F., Cameron G. McCarthy, Scott Earley, et al.. (2021). Guidelines for the measurement of vascular function and structure in isolated arteries and veins. American Journal of Physiology-Heart and Circulatory Physiology. 321(1). H77–H111. 109 indexed citations

Trask, Aaron J., et al.. (2021). Human Stem Cell Models of SARS-CoV-2 Infection in the Cardiovascular System. Stem Cell Reviews and Reports. 17(6). 2107–2119. 1 indexed citations

Sun, Zhe, et al.. (2020). Reduced stiffness and augmented traction force in type 2 diabetic coronary microvascular smooth muscle. American Journal of Physiology-Heart and Circulatory Physiology. 318(6). H1410–H1419. 18 indexed citations

Eddy, Adrian C. & Aaron J. Trask. (2020). Growth differentiation factor-15 and its role in diabetes and cardiovascular disease. Cytokine & Growth Factor Reviews. 57. 11–18. 64 indexed citations

10.

Trask, Aaron J., et al.. (2018). Coronary Microvascular Remodeling in Type 2 Diabetes: Synonymous With Early Aging?. Frontiers in Physiology. 9. 1463–1463. 14 indexed citations

11.

Labazi, Hicham & Aaron J. Trask. (2017). Coronary microvascular disease as an early culprit in the pathophysiology of diabetes and metabolic syndrome. Pharmacological Research. 123. 114–121. 61 indexed citations

12.

Lallier, Scott W., Michael D. Thompson, Trent E. Tipple, et al.. (2016). Maternal high fat diet exposure is associated with increased hepcidin levels, decreased myelination, and neurobehavioral changes in male offspring. Brain Behavior and Immunity. 58. 369–378. 63 indexed citations

13.

Yi, Tai, Shuhei Tara, Cameron A. Best, et al.. (2015). Hemodynamic Characterization of a Mouse Model for Investigating the Cellular and Molecular Mechanisms of Neotissue Formation in Tissue-Engineered Heart Valves. Tissue Engineering Part C Methods. 21(9). 987–994. 13 indexed citations

14.

Katz, Paige S., et al.. (2015). The angiotensin receptor blocker losartan reduces coronary arteriole remodeling in type 2 diabetic mice. Vascular Pharmacology. 76. 28–36. 16 indexed citations

15.

Delbin, Maria Andréia & Aaron J. Trask. (2014). The diabetic vasculature: Physiological mechanisms of dysfunction and influence of aerobic exercise training in animal models. Life Sciences. 102(1). 1–9. 21 indexed citations

16.

Trask, Aaron J., Maria Andréia Delbin, Paige S. Katz, Angelina Zanesco, & Pamela A. Lucchesi. (2012). Differential coronary resistance microvessel remodeling between type 1 and type 2 diabetic mice: Impact of exercise training. Vascular Pharmacology. 57(5-6). 187–193. 26 indexed citations

17.

Trask, Aaron J., Peter B. Baker, Elena Ladich, et al.. (2011). Histopathologic Evaluation of Patent Ductus Arteriosus Stents After Hybrid Stage I Palliation. Pediatric Cardiology. 32(4). 413–417. 11 indexed citations

18.

Trask, Aaron J. & Carlos M. Ferrario. (2007). Angiotensin‐(1‐7): Pharmacology and New Perspectives in Cardiovascular Treatments. Cardiovascular Drug Reviews. 25(2). 162–174. 89 indexed citations

19.

Ferrario, Carlos M., Aaron J. Trask, & Jewell A. Jessup. (2005). Advances in biochemical and functional roles of angiotensin-converting enzyme 2 and angiotensin-(1–7) in regulation of cardiovascular function. American Journal of Physiology-Heart and Circulatory Physiology. 289(6). H2281–H2290. 322 indexed citations

20.

Trask, Aaron J., et al.. (2002). Autonomous artificial neural network star tracker for spacecraft attitude determination. PhDT. 114. 1317–1336. 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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