Ken Van Train

1.0k total citations
9 papers, 755 citations indexed

About

Ken Van Train is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Ken Van Train has authored 9 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Ken Van Train's work include Cardiac Imaging and Diagnostics (8 papers), Advanced X-ray and CT Imaging (4 papers) and Medical Imaging Techniques and Applications (3 papers). Ken Van Train is often cited by papers focused on Cardiac Imaging and Diagnostics (8 papers), Advanced X-ray and CT Imaging (4 papers) and Medical Imaging Techniques and Applications (3 papers). Ken Van Train collaborates with scholars based in United States. Ken Van Train's co-authors include Hosen Kiat, John D. Friedman, Jamshid Maddahi, Alan Rozanski, Daniel Berman, Ling Yang, Kenneth J. Resser, Daniel S. Berman, Guido Germano and Gerald Maurer and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Heart Journal.

In The Last Decade

Ken Van Train

9 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Van Train United States 4 706 376 175 152 18 9 755
Virginia Cave United States 13 682 1.0× 417 1.1× 219 1.3× 156 1.0× 17 0.9× 27 763
Thomas P. Rocco United States 9 750 1.1× 543 1.4× 163 0.9× 212 1.4× 83 4.6× 13 908
Jaekyeong Heo United States 12 506 0.7× 428 1.1× 141 0.8× 138 0.9× 24 1.3× 17 618
Barbara Kong United States 10 527 0.7× 347 0.9× 162 0.9× 137 0.9× 55 3.1× 12 633
Andrew M. Grunwald United States 11 279 0.4× 190 0.5× 76 0.4× 140 0.9× 32 1.8× 15 384
Alan Askenase United States 9 358 0.5× 314 0.8× 76 0.4× 122 0.8× 45 2.5× 17 461
Valerie Wasserleben United States 7 415 0.6× 215 0.6× 150 0.9× 96 0.6× 14 0.8× 8 446
Keicho Shimoura United States 5 189 0.3× 136 0.4× 163 0.9× 69 0.5× 21 1.2× 7 299
Stefan Dreysse Germany 9 618 0.9× 447 1.2× 120 0.7× 221 1.5× 48 2.7× 16 733
Bernard J. Villegas United States 10 370 0.5× 245 0.7× 100 0.6× 183 1.2× 48 2.7× 17 459

Countries citing papers authored by Ken Van Train

Since Specialization
Citations

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

Fields of papers citing papers by Ken Van Train

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Van Train. 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 Ken Van Train. The network helps show where Ken Van Train may publish in the future.

Co-authorship network of co-authors of Ken Van Train

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

All Works

9 of 9 papers shown
1.
Kiat, Hosen, Guido Germano, Gerald Maurer, et al.. (1994). Gated technetium-99m sestamibi for simultaneous assessment of stress myocardial perfusion, postexercise regional ventricular function and myocardial viability. Journal of the American College of Cardiology. 23(5). 1107–1114. 187 indexed citations
2.
3.
Kiat, Hosen, Daniel Berman, Jamshid Maddahi, et al.. (1988). Late reversibility of tomographic myocardial thallium-201 defects: An accurate marker of myocardial viability. Journal of the American College of Cardiology. 12(6). 1456–1463. 284 indexed citations
4.
Maddahi, Jamshid, Hosen Kiat, K Resser, et al.. (1987). PREDICTION OF CORONARY EVENTS BY THALLIUM-201 QUANTITATION OF JEOPARDIZED MYOCARDIUM AND CLINICAL AND EXERCISE TEST VARIABLES.. Clinical Nuclear Medicine. 12(Supplement). P21–P21. 1 indexed citations
5.
Maddahi, Jamshid, Hosen Kiat, K Resser, et al.. (1987). ASSESSMENT OF PROGNOSIS IN PATIENTS WITH PRIOR MYOCARDIAL INFARCTION: A NEW APPROACH TO QUANTITATIVE INTERPRETATION OF EXERCISE THALLIUM-201 SCINTIGRAPHY. Clinical Nuclear Medicine. 12(Supplement). P21–P21. 1 indexed citations
6.
Rozanski, Alan, Daniel S. Berman, Ernest Garcia, et al.. (1983). Analysis of the degree of pulmonary thallium washout after exercise in patients with coronary artery disease. Journal of the American College of Cardiology. 2(4). 719–728. 42 indexed citations
7.
Train, Ken Van, Ernest Garcia, Jamshid Maddahi, et al.. (1983). QUANTIFICATION OF ROTATIONAL THALLIUM-201 MYOCARDIAL TOMOGRAMS: METHOD AND PRELIMINARY VALIDATION.. Clinical Nuclear Medicine. 8. P26–P26. 1 indexed citations
8.
Rozanski, Alan, Ernest Garcia, Jack Gutman, et al.. (1981). COMBINED QUANTITATION OF PULMONARY THALLIUM WASHOUT AND MYOCARDIAL THALLIUM ACTIVITY ANALYSIS ENHANCES THE DETECTION OF CORONARY ARTERY DISEASE. Clinical Nuclear Medicine. 6(Supplement). 458–458. 1 indexed citations
9.

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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