Arthur D. Zetts

753 total citations
27 papers, 567 citations indexed

About

Arthur D. Zetts is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Arthur D. Zetts has authored 27 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Arthur D. Zetts's work include Cardiovascular Function and Risk Factors (25 papers), Cardiac Valve Diseases and Treatments (18 papers) and Cardiac Imaging and Diagnostics (11 papers). Arthur D. Zetts is often cited by papers focused on Cardiovascular Function and Risk Factors (25 papers), Cardiac Valve Diseases and Treatments (18 papers) and Cardiac Imaging and Diagnostics (11 papers). Arthur D. Zetts collaborates with scholars based in United States, Germany and United Kingdom. Arthur D. Zetts's co-authors include Michael Jones, David J. Sahn, Jian Qin, Hiroyuki Tsujino, Lisa A. Cardon, Xiaokui Li, Ikuo Hashimoto, Julio A. Panza, Aarti Bhat and James D. Thomas and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Arthur D. Zetts

26 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arthur D. Zetts United States	13	508	298	139	95	56	27	567
Lisa A. Cardon United States	11	578 1.1×	343 1.2×	126 0.9×	65 0.7×	50 0.9×	29	644
O A Smiseth Norway	10	424 0.8×	263 0.9×	119 0.9×	72 0.8×	47 0.8×	22	494
Anthony N. DeMaria United States	12	380 0.7×	215 0.7×	144 1.0×	56 0.6×	89 1.6×	15	467
Jos R.T.C. Roelandt Netherlands	11	286 0.6×	316 1.1×	212 1.5×	29 0.3×	90 1.6×	17	422
J BAX Netherlands	13	532 1.0×	347 1.2×	140 1.0×	49 0.5×	33 0.6×	26	629
Pieter M. Vandervoort United States	11	689 1.4×	249 0.8×	170 1.2×	113 1.2×	71 1.3×	32	734
Vito Marangelli Italy	9	472 0.9×	348 1.2×	151 1.1×	24 0.3×	50 0.9×	22	552
G Tonti Italy	8	342 0.7×	214 0.7×	64 0.5×	41 0.4×	33 0.6×	17	401
Scott Settlemier United States	6	369 0.7×	156 0.5×	107 0.8×	203 2.1×	62 1.1×	11	399
Dag Teien Sweden	15	569 1.1×	209 0.7×	136 1.0×	194 2.0×	131 2.3×	44	656

Countries citing papers authored by Arthur D. Zetts

Since Specialization

Citations

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

Fields of papers citing papers by Arthur D. Zetts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arthur D. Zetts. 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 Arthur D. Zetts. The network helps show where Arthur D. Zetts may publish in the future.

Co-authorship network of co-authors of Arthur D. Zetts

This figure shows the co-authorship network connecting the top 25 collaborators of Arthur D. Zetts. A scholar is included among the top collaborators of Arthur D. Zetts 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 Arthur D. Zetts. Arthur D. Zetts 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

Keeran, Karen J., et al.. (2017). A Chronic Cardiac Ischemia Model in Swine Using an Ameroid Constrictor. Journal of Visualized Experiments. 11 indexed citations

Horvath, Keith A., Dumitru Mazilu, Michael A. Guttman, et al.. (2009). Midterm results of transapical aortic valve replacement via real-time magnetic resonance imaging guidance. Journal of Thoracic and Cardiovascular Surgery. 139(2). 424–430. 27 indexed citations

Jones, Michael, Neil L. Greenberg, Zoran Popović, et al.. (2006). Intraventricular Pressure Gradients in Left Ventricular Aneurysms Determined by Color M-Mode Doppler Method: An Animal Study. Journal of the American Society of Echocardiography. 19(9). 1112–1118. 7 indexed citations

Qin, Jian, Michael Jones, A Travaglini, et al.. (2005). The Accuracy of Left Ventricular Mass Determined by Real-time Three-dimensional Echocardiography in Chronic Animal and Clinical Studies: A Comparison with Postmortem Examination and Magnetic Resonance Imaging. Journal of the American Society of Echocardiography. 18(10). 1037–1043. 21 indexed citations

Li, Xiaokui, Michael Jones, Timothy Irvine, et al.. (2004). Real-time 3-dimensional echocardiography for quantification of the difference in left ventricular versus right ventricular stroke volume in a chronic animal model study: Improved results using C-scans for quantifying aortic regurgitation. Journal of the American Society of Echocardiography. 17(8). 870–875. 10 indexed citations

Swanson, Julia C., Crispin H. Davies, Ikuo Hashimoto, et al.. (2003). Is tissue doppler-based strain rate imaging superior to tissue doppler imaging in compensating for lateral heart motion/translation?. Journal of the American College of Cardiology. 41(6). 418–418. 1 indexed citations

Hashimoto, Ikuo, Xiaokui Li, Aarti Bhat, et al.. (2003). Myocardial strain rate is a superior method for evaluation of left ventricular subendocardial function compared with tissue Doppler imaging. Journal of the American College of Cardiology. 42(9). 1574–1583. 111 indexed citations

Sitges, Marta, Michael Jones, Takahiro Shiota, et al.. (2003). Real-time three-dimensional color doppler evaluation of the flow convergence zone for quantification of mitral regurgitation: Validation experimental animal study and initial clinical experience. Journal of the American Society of Echocardiography. 16(1). 38–45. 46 indexed citations

Li, Xiaokui, Xiangning Li, Arthur D. Zetts, et al.. (2002). A semiautomatic inter-aliasing distance method for quantifying aortic regurgitation using digital color Doppler M-mode computation: in vivo study in a chronic animal model. Journal of the American College of Cardiology. 39. 424–424. 1 indexed citations

10.

Yang, Hua, Michael Jones, Takahiro Shiota, et al.. (2002). Changes of mitral regurgitation severity under altered loading conditions and its relationship to pulmonary venous flow. Journal of the American College of Cardiology. 39. 384–384. 1 indexed citations

11.

Rusk, Rosemary A., Yoshiki Mori, Timothy Irvine, et al.. (2002). Direct quantification of transmitral flow volume with dynamic 3-dimensional digital color Doppler: A validation study in an animal model. Journal of the American Society of Echocardiography. 15(1). 55–62. 24 indexed citations

12.

Mori, Yoshiki, Rosemary A. Rusk, Timothy Irvine, et al.. (2002). A new dynamic three-dimensional digital color doppler method for quantification of pulmonary regurgitation: validation study in an animal model. Journal of the American College of Cardiology. 40(6). 1179–1185. 22 indexed citations

13.

Bauer, Fabrice, Michael Jones, Takahiro Shiota, et al.. (2002). Left ventricular outflow tract mean systolic acceleration as a surrogatefor the slope of the left ventricular end-systolic pressure-volume relationship. Journal of the American College of Cardiology. 40(7). 1320–1327. 33 indexed citations

14.

Tsujino, Hiroshi, Michael Jones, Takahiro Shiota, et al.. (2002). Impact of temporal resolution on flow quantification by real-time 3D color Doppler echocardiography: numerical modeling and animal validation study. PubMed. 98. 761–764. 8 indexed citations

15.

Shiota, Takahiro, Michael Jones, Hiroyuki Tsujino, et al.. (2002). Quantitative analysis of aortic regurgitation: Real-time 3-dimensional and 2-dimensional color Doppler echocardiographic method—a clinical and a chronic animal study. Journal of the American Society of Echocardiography. 15(9). 966–971. 14 indexed citations

16.

Rusk, Rosemary A., et al.. (2002). A validation study of aortic stroke volume using dynamic 4-dimensional color Doppler: An in vivo study. Journal of the American Society of Echocardiography. 15(10). 1045–1050. 20 indexed citations

17.

Irvine, Timothy, George Stetten, Vandana Sachdev, et al.. (2001). Quantification of aortic regurgitation by real-time 3-dimensional echocardiography in a chronic animal model: Computation of aortic regurgitant volume as the difference between left and right ventricular stroke volumes. Journal of the American Society of Echocardiography. 14(11). 1112–1118. 12 indexed citations

18.

Tsujino, Hiroyuki, Michael Jones, Takahiro Shiota, et al.. (2001). Real-time three-dimensional color doppler echocardiography for characterizing the spatial velocity distribution and quantifying the peak flow rate in the left ventricular outflow tract. Ultrasound in Medicine & Biology. 27(1). 69–74. 43 indexed citations

19.

Qin, Jian, Hiroyuki Tsujino, Michael S. Firstenberg, et al.. (2000). Validation of real-time three-dimensional echocardiography for quantifying left ventricular volumes in the presence of a left ventricular aneurysm: in vitro and in vivo studies. Journal of the American College of Cardiology. 36(3). 900–907. 109 indexed citations

20.

McDonald, Robert W., Jian Qin, Arthur D. Zetts, et al.. (1999). New echocardiographic windows for quantitative determination of aortic regurgitation volume using color Doppler flow convergence and vena contracta. The American Journal of Cardiology. 83(7). 1064–1068. 12 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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