Richard Tang

1.3k total citations
52 papers, 940 citations indexed

About

Richard Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Richard Tang has authored 52 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Cardiology and Cardiovascular Medicine and 11 papers in Surgery. Recurrent topics in Richard Tang's work include Advanced MRI Techniques and Applications (30 papers), Cardiac Imaging and Diagnostics (28 papers) and Atomic and Subatomic Physics Research (7 papers). Richard Tang is often cited by papers focused on Advanced MRI Techniques and Applications (30 papers), Cardiac Imaging and Diagnostics (28 papers) and Atomic and Subatomic Physics Research (7 papers). Richard Tang collaborates with scholars based in United States, Canada and Italy. Richard Tang's co-authors include Rohan Dharmakumar, Avinash Kali, Debiao Li, Andreas Kumar, Ivan Cokic, Sotirios A. Tsaftaris, James K. Min, Hsin‐Jung Yang, Reed A. Omary and Kunwoo Lee and has published in prestigious journals such as Circulation, Nature Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Richard Tang

49 papers receiving 933 citations

Peers

Richard Tang
Joel Wilson United States
Florian Bönner Germany
J. William O’Connell United States
Stephanie Thorn United States
Jane Sykes Canada
Venkatesh K. Raman United States
Mirta Ruiz United States
Carlos Galán‐Arriola Spain
Claudio Rossetti Italy
Kurt G. Barringhaus United States
Joel Wilson United States
Richard Tang
Citations per year, relative to Richard Tang Richard Tang (= 1×) peers Joel Wilson

Countries citing papers authored by Richard Tang

Since Specialization
Citations

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

Fields of papers citing papers by Richard Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Tang. A scholar is included among the top collaborators of Richard Tang 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 Richard Tang. Richard Tang 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.
Chen, Yinyin, Hang Jin, Xinheng Zhang, et al.. (2025). Detecting Hemorrhagic Myocardial Infarction With 3.0-T CMR. JACC. Cardiovascular imaging. 18(4). 436–447.
2.
Mills, Marcos, et al.. (2023). Mitral Valve Replacement in Infants and Children: Experience Using a 15-mm Mechanical Valve. The Annals of Thoracic Surgery. 116(2). 322–329. 4 indexed citations
3.
Tchervenkov, Christo I., Richard Tang, & Jeffrey P. Jacobs. (2022). Hypoplastic Left Ventricle: Hypoplastic Left Heart Complex. World Journal for Pediatric and Congenital Heart Surgery. 13(5). 631–636. 6 indexed citations
4.
Chen, Yinyin, Daoyuan Ren, Hsin‐Jung Yang, et al.. (2021). Quantification of myocardial hemorrhage using T2* cardiovascular magnetic resonance at 1.5T with ex-vivo validation. Journal of Cardiovascular Magnetic Resonance. 23(1). 104–104. 6 indexed citations
5.
Yang, Hsin‐Jung, Damini Dey, Jane Sykes, et al.. (2020). Heart Rate−Independent 3D Myocardial Blood Oxygen Level−Dependent MRI at 3.0 T with Simultaneous 13N−Ammonia PET Validation. Radiology. 295(1). 82–93. 6 indexed citations
6.
Wang, Guan, Hsin‐Jung Yang, Avinash Kali, et al.. (2018). Influence of Myocardial Hemorrhage on Staging of Reperfused Myocardial Infarctions With T2 Cardiac Magnetic Resonance Imaging. JACC. Cardiovascular imaging. 12(4). 693–703. 16 indexed citations
7.
Tang, Richard, et al.. (2017). Topical negative pressure therapy and compression in the management of venous leg ulcers: a pilot study. UWA Profiles and Research Repository (University of Western Australia). 25(1). 36–40. 3 indexed citations
8.
Cokic, Ivan, Kolja Wawrowsky, Avinash Kali, et al.. (2017). MYOCARDIAL HEMORRHAGE AFTER CORONARY ISCHEMIA-REPERFUSION LEADS TO AN IRON-MEDIATED, SELF-PERPETUATING LOOP OF FOAM CELL AND CEROID ACCUMULATION. Journal of the American College of Cardiology. 69(11). 197–197. 2 indexed citations
9.
Lee, Kunwoo, Mohammad A. Rafi, Xiaojian Wang, et al.. (2015). In vivo delivery of transcription factors with multifunctional oligonucleotides. Nature Materials. 14(7). 701–706. 58 indexed citations
10.
Laganà, Alessandro, Dario Veneziano, Richard Tang, et al.. (2015). Identification of General and Heart-Specific miRNAs in Sheep (Ovis aries). PLoS ONE. 10(11). e0143313–e0143313. 12 indexed citations
11.
Cokic, Ivan, Avinash Kali, Xunzhang Wang, et al.. (2013). Iron Deposition following Chronic Myocardial Infarction as a Substrate for Cardiac Electrical Anomalies: Initial Findings in a Canine Model. PLoS ONE. 8(9). e73193–e73193. 17 indexed citations
12.
Kali, Avinash, Richard Tang, Andreas Kumar, James K. Min, & Rohan Dharmakumar. (2013). Detection of Acute Reperfusion Myocardial Hemorrhage with Cardiac MR Imaging: T2 versus T2*. Radiology. 269(2). 387–395. 30 indexed citations
13.
Tsaftaris, Sotirios A., et al.. (2012). Ischemic extent as a biomarker for characterizing severity of coronary artery stenosis with blood oxygen‐sensitive MRI. Journal of Magnetic Resonance Imaging. 35(6). 1338–1348. 11 indexed citations
14.
Tsaftaris, Sotirios A., et al.. (2010). Artifact‐reduced two‐dimensional cine steady state free precession for myocardial blood‐ oxygen‐level‐dependent imaging. Journal of Magnetic Resonance Imaging. 31(4). 863–871. 11 indexed citations
15.
Deng, Jie, Sumeet Virmani, Guang‐Yu Yang, et al.. (2009). Intraprocedural diffusion‐weighted PROPELLER MRI to guide percutaneous biopsy needle placement within rabbit VX2 liver tumors. Journal of Magnetic Resonance Imaging. 30(2). 366–373. 9 indexed citations
16.
17.
Koktzoglou, Ioannis, Kathleen R. Harris, Richard Tang, et al.. (2006). Gadofluorine-Enhanced Magnetic Resonance Imaging of Carotid Atherosclerosis in Yucatan Miniswine. Investigative Radiology. 41(3). 299–304. 17 indexed citations
18.
Green, Jordin D., Reed A. Omary, Brian E. Schirf, et al.. (2005). Three‐dimensional contrast‐enhanced steady‐state free precession for improved catheter‐directed coronary magnetic resonance angiography. Journal of Magnetic Resonance Imaging. 22(3). 415–419. 3 indexed citations
19.
Green, Jordin D., Reed A. Omary, Brian E. Schirf, Richard Tang, & Debiao Li. (2003). Catheter‐directed contrast‐enhanced coronary MR angiography in swine using magnetization‐prepared True‐FISP. Magnetic Resonance in Medicine. 50(6). 1317–1321. 19 indexed citations
20.
Green, Jordin D., Reed A. Omary, J. Paul Finn, et al.. (2002). Passive catheter tracking using MRI: Comparison of conventional and magnetization‐prepared FLASH. Journal of Magnetic Resonance Imaging. 16(1). 104–109. 18 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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