Jason T. Su

836 total citations
16 papers, 506 citations indexed

About

Jason T. Su is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jason T. Su has authored 16 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 9 papers in Epidemiology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jason T. Su's work include Congenital Heart Disease Studies (9 papers), Coronary Artery Anomalies (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). Jason T. Su is often cited by papers focused on Congenital Heart Disease Studies (9 papers), Coronary Artery Anomalies (6 papers) and Cardiac Valve Diseases and Treatments (5 papers). Jason T. Su collaborates with scholars based in United States and Canada. Jason T. Su's co-authors include Hua Li, Rocío Ortiz‐López, Jeffrey A. Towbin, Veronica Goytia, Michael D. Puchalski, Richard V. Williams, Edward DiBella, William Gottliebson, C. Todd Sower and Nathan A. Pack and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Jason T. Su

16 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason T. Su United States	12	368	188	159	146	109	16	506
May Ling Mah United States	13	212 0.6×	107 0.6×	140 0.9×	105 0.7×	94 0.9×	26	356
John P. Cheatham United States	11	259 0.7×	69 0.4×	264 1.7×	172 1.2×	146 1.3×	21	410
Freek van den Heuvel Netherlands	9	466 1.3×	199 1.1×	71 0.4×	49 0.3×	43 0.4×	14	555
Elena Cervi United Kingdom	12	386 1.0×	57 0.3×	76 0.5×	72 0.5×	75 0.7×	37	477
Antony Chu United States	10	363 1.0×	123 0.7×	71 0.4×	34 0.2×	46 0.4×	35	452
Josep María Padró Spain	11	265 0.7×	96 0.5×	76 0.5×	31 0.2×	188 1.7×	30	399
Tarek Momenah Saudi Arabia	12	275 0.7×	118 0.6×	247 1.6×	216 1.5×	147 1.3×	42	480
R. Eric Lilly United States	11	381 1.0×	291 1.5×	17 0.1×	81 0.6×	215 2.0×	18	608
Giorgia Grutter Italy	14	510 1.4×	69 0.4×	81 0.5×	26 0.2×	202 1.9×	42	640
Gary S. Mak United States	7	207 0.6×	143 0.8×	66 0.4×	46 0.3×	63 0.6×	10	408

Countries citing papers authored by Jason T. Su

Since Specialization

Citations

This map shows the geographic impact of Jason T. Su'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 Jason T. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. Su more than expected).

Fields of papers citing papers by Jason T. Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason T. Su. 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 Jason T. Su. The network helps show where Jason T. Su may publish in the future.

Co-authorship network of co-authors of Jason T. Su

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

All Works

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16 of 16 papers shown

Etheridge, Susan P., Mary C. Niu, Zhining Ou, et al.. (2020). MRI in pediatric and congenital heart disease patients with CIEDs and epicardial or abandoned leads. Pacing and Clinical Electrophysiology. 43(8). 797–804. 18 indexed citations

Margossian, Renée, Lynn A. Sleeper, Gail D. Pearson, et al.. (2016). Assessment of Diastolic Function in Single-Ventricle Patients After the Fontan Procedure. Journal of the American Society of Echocardiography. 29(11). 1066–1073. 26 indexed citations

Eckhauser, Aaron, et al.. (2014). A systematic method for using 3D echocardiography to evaluate tricuspid valve insufficiency in hypoplastic left heart syndrome. Annals of Pediatric Cardiology. 7(3). 193–193. 5 indexed citations

Hoffman, James, et al.. (2013). Screening for Aortic Aneurysm After Treatment of Coarctation. Pediatric Cardiology. 35(1). 47–52. 14 indexed citations

King, Wilson, Michael D. Puchalski, L. LuAnn Minich, Lloyd Y. Tani, & Jason T. Su. (2012). CAN ECHOCARDIOGRAPHY ASSESS MITRAL REGURGITATION SEVERITY IN CHILDREN?. Journal of the American College of Cardiology. 59(13). E800–E800. 1 indexed citations

Puchalski, Michael D., David J. Bradley, L. LuAnn Minich, et al.. (2009). Safety and Imaging Quality of MRI in Pediatric and Adult Congenital Heart Disease Patients with Pacemakers. Pacing and Clinical Electrophysiology. 32(4). 450–456. 42 indexed citations

Puchalski, Michael D., Richard V. Williams, C. Todd Sower, et al.. (2008). Late gadolinium enhancement: precursor to cardiomyopathy in Duchenne muscular dystrophy?. International journal of cardiac imaging. 25(1). 57–63. 114 indexed citations

Hawkins, John A., Peter C. Kouretas, Richard Holubkov, et al.. (2007). Intermediate-term results of repair for aortic, neoaortic, and truncal valve insufficiency in children. Journal of Thoracic and Cardiovascular Surgery. 133(5). 1311–1317. 23 indexed citations

Su, Jason T., Rajesh Krishnamurthy, Taylor Chung, G. Wesley Vick, & John P. Kovalchin. (2006). Anomalous Right Coronary Artery from the Pulmonary Artery: Noninvasive Diagnosis and Serial Evaluation. Journal of Cardiovascular Magnetic Resonance. 9(1). 57–61. 18 indexed citations

10.

Su, Jason T., Taylor Chung, Raja Muthupillai, et al.. (2005). Usefulness of real-time navigator magnetic resonance imaging for evaluating coronary artery origins in pediatric patients. The American Journal of Cardiology. 95(5). 679–682. 29 indexed citations

11.

McMahon, Colin J., Jason T. Su, Michael D. Taylor, et al.. (2005). Detection of Active Coronary Arterial Vasculitis Using Magnetic Resonance Imaging in Kawasaki Disease. Circulation. 112(19). e315–6. 8 indexed citations

12.

DiBardino, Daniel J., E. Dean McKenzie, Jeffrey S. Heinle, Jason T. Su, & Charles D. Fraser. (2004). The Warden procedure for partially anomalous pulmonary venous connection to the superior caval vein. Cardiology in the Young. 14(1). 64–67. 29 indexed citations

13.

Ikemba, Catherine, Jason T. Su, Stephen A. Stayer, et al.. (2004). Myocardial Performance Index with Sevoflurane–Pancuronium versus Fentanyl–Midazolam–Pancuronium in Infants with a Functional Single Ventricle. Anesthesiology. 101(6). 1298–1305. 21 indexed citations

14.

Su, Jason T., Taylor Chung, & John P. Kovalchin. (2004). Magnetic resonance imaging of coronary and systemic aneurysms in Kawasaki disease. Cardiology in the Young. 14(2). 198–199. 8 indexed citations

15.

DiBardino, Daniel J., Jeffrey S. Heinle, Grace C. Kung, et al.. (2004). Anatomic reconstruction for recurrent aortic obstruction in infants and children. The Annals of Thoracic Surgery. 78(3). 926–932. 16 indexed citations

16.

Ortiz‐López, Rocío, Hua Li, Jason T. Su, Veronica Goytia, & Jeffrey A. Towbin. (1997). Evidence for a Dystrophin Missense Mutation as a Cause of X-Linked Dilated Cardiomyopathy. Circulation. 95(10). 2434–2440. 134 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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