Matthew Tong

1.3k total citations · 1 hit paper
35 papers, 583 citations indexed

About

Matthew Tong is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matthew Tong has authored 35 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matthew Tong's work include Cardiac Imaging and Diagnostics (11 papers), Advanced MRI Techniques and Applications (9 papers) and Cardiovascular Function and Risk Factors (7 papers). Matthew Tong is often cited by papers focused on Cardiac Imaging and Diagnostics (11 papers), Advanced MRI Techniques and Applications (9 papers) and Cardiovascular Function and Risk Factors (7 papers). Matthew Tong collaborates with scholars based in United States, Australia and Spain. Matthew Tong's co-authors include Orlando P. Simonetti, Karolina M. Zaręba, Saurabh Rajpal, Timothy P. Obarski, Curt J. Daniels, James Borchers, Anna Cristina S. Samia, Jiajie Hu, Xiong Yu and Huichun Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Matthew Tong

30 papers receiving 566 citations

Hit Papers

Cardiovascular Magnetic Resonance Findings in Competitive... 2020 2026 2022 2024 2020 100 200 300

Peers

Matthew Tong
Matthew Tong
Citations per year, relative to Matthew Tong Matthew Tong (= 1×) peers Gheorghe Nicușor Pop

Countries citing papers authored by Matthew Tong

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Tong. A scholar is included among the top collaborators of Matthew Tong 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 Matthew Tong. Matthew Tong 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.
Polsani, Venkateshwar, Michael D. Elliott, Rohan Dharmakumar, et al.. (2025). Multi-feature deep learning for deriving synthetic hematocrit without blood sampling: Initial results from the SCMR registry. Journal of Cardiovascular Magnetic Resonance. 27. 101299–101299. 1 indexed citations
2.
Chandrasekaran, Preethi, Chong Chen, Yingmin Liu, et al.. (2025). Accelerated real-time cine and flow under in-magnet staged exercise. Journal of Cardiovascular Magnetic Resonance. 27(1). 101894–101894.
3.
Varghese, Juliet, et al.. (2024). Compressed Sensing Flow Quantification Validation on a Wide-bore 0.55T System in Volunteers and Patients. Journal of Cardiovascular Magnetic Resonance. 26. 101018–101018.
4.
Potter, Lee C., Chong Chen, Yingmin Liu, et al.. (2024). Motion‐robust free‐running volumetric cardiovascular MRI. Magnetic Resonance in Medicine. 92(3). 1248–1262. 2 indexed citations
5.
Goyal, Akash, Christopher D. Crabtree, Saurabh Rajpal, et al.. (2024). The impact of severe obesity on image quality and ventricular function assessment in echocardiography and cardiac MRI. The International Journal of Cardiovascular Imaging. 40(5). 1081–1094. 4 indexed citations
6.
Cao, Carolyn, Matthew Tong, Juliet Varghese, et al.. (2023). Cardiac magnetic resonance imaging for left atrial appendage closure planning. Pacing and Clinical Electrophysiology. 46(7). 745–751. 1 indexed citations
7.
Pan, Yue, Juliet Varghese, Matthew Tong, et al.. (2023). Two-center validation of Pilot Tone based cardiac triggering of a comprehensive cardiovascular magnetic resonance examination. The International Journal of Cardiovascular Imaging. 40(2). 261–273. 2 indexed citations
8.
Rajpal, Saurabh, Rami Kahwash, Matthew Tong, et al.. (2022). Fulminant Myocarditis Following SARS-CoV-2 Infection. Journal of the American College of Cardiology. 79(21). 2144–2152. 5 indexed citations
9.
Goyal, Akash, Christopher D. Crabtree, Haikady N. Nagaraja, et al.. (2022). CARDIAC MAGNETIC RESONANCE IMAGING AND ECHOCARDIOGRAPHY IN MORBIDLY OBESE PATIENTS: AN ASSESSMENT OF IMAGE QUALITY. Journal of the American College of Cardiology. 79(9). 1347–1347. 1 indexed citations
10.
Rajpal, Saurabh, Rami Kahwash, Matthew Tong, et al.. (2022). Fulminant Myocarditis Following SARS-CoV-2 Infection. JACC Case Reports. 4(10). 567–575. 3 indexed citations
11.
Nagaraja, Haikady N., et al.. (2022). ENHANCED WEARABILITY EXPERIENCE AND ACCURACY OF A NOVEL FDA-VALIDATED NONINVASIVE AMBULATORY ECG DEVICE COMPARED WITH A CONVENTIONAL HOLTER MONITOR: THE QARDIO-ECG STUDY. Journal of the American College of Cardiology. 79(9). 2053–2053. 1 indexed citations
12.
Prasad, Rahul N., Eméfah Loccoh, Toshimasa Okabe, et al.. (2021). Cardiac radioablation in the treatment of ventricular tachycardia. Clinical and Translational Radiation Oncology. 31. 71–79. 13 indexed citations
13.
Afzal, Muhammad R., Toshimasa Okabe, Matthew Tong, et al.. (2021). Method and Atlas to Enable Targeting for Cardiac Radioablation Employing the American Heart Association Segmented Model. International Journal of Radiation Oncology*Biology*Physics. 111(1). 178–185. 18 indexed citations
15.
Slivnick, Jeremy, et al.. (2020). Personalized Approach to Cancer Treatment–Related Cardiomyopathy. Current Heart Failure Reports. 17(2). 43–55. 6 indexed citations
16.
Slivnick, Jeremy, Matthew Tong, Haikady N. Nagaraja, et al.. (2020). Novel Cardiovascular Magnetic Resonance Model to Distinguish Immunoglobulin Light Chain From Transthyretin Cardiac Amyloidosis. JACC. Cardiovascular imaging. 14(1). 302–304. 9 indexed citations
17.
Slivnick, Jeremy, Ajay Vallakati, Vien T. Truong, et al.. (2020). Indexed left ventricular mass to QRS voltage ratio is associated with heart failure hospitalizations in patients with cardiac amyloidosis. International journal of cardiac imaging. 37(3). 1043–1051. 15 indexed citations
18.
Chopra, Nagesh, Matthew Tong, & Steven J. Yakubov. (2017). Very late occurrence of complete heart block without preexisting atrioventricular conduction abnormalities: A rare complication after transaortic valvular replacement. HeartRhythm Case Reports. 4(2). 77–81. 2 indexed citations
19.
Melville, James C., Marcus Couey, Matthew Tong, & Robert E. Marx. (2016). Regeneration of a Tooth in a Tissue-Engineered Mandible After Resection of a Central Giant Cell Tumor. Demonstrating Evidence of Functional Matrix Theory and Ectodermal Origin of Teeth in a Human Model—A Case Report. Journal of Oral and Maxillofacial Surgery. 75(4). 850–857. 5 indexed citations
20.
Han, Yuping, et al.. (1994). Combined therapy of captopril and spironolactone for refractory congestive heart failure.. PubMed. 107(9). 688–92. 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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