Kenneth Van Train

2.2k total citations
17 papers, 1.7k citations indexed

About

Kenneth Van Train is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Kenneth Van Train has authored 17 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Biomedical Engineering and 1 paper in Surgery. Recurrent topics in Kenneth Van Train's work include Cardiac Imaging and Diagnostics (14 papers), Medical Imaging Techniques and Applications (10 papers) and Advanced X-ray and CT Imaging (9 papers). Kenneth Van Train is often cited by papers focused on Cardiac Imaging and Diagnostics (14 papers), Medical Imaging Techniques and Applications (10 papers) and Advanced X-ray and CT Imaging (9 papers). Kenneth Van Train collaborates with scholars based in United States. Kenneth Van Train's co-authors include John D. Friedman, Daniel S. Berman, Jamshid Maddahi, Hosen Kiat, Guido Germano, Fan Ping Wang, Ernest Garcia, F Prigent, Lisa Matzer and Rory Hachamovitch 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

Kenneth Van Train

16 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth Van Train United States 13 1.6k 744 554 304 42 17 1.7k
Kenneth F. Van Train United States 15 2.0k 1.3× 1.0k 1.4× 586 1.1× 326 1.1× 53 1.3× 18 2.2k
Fan Ping Wang United States 7 936 0.6× 476 0.6× 311 0.6× 199 0.7× 24 0.6× 9 1.0k
James A. Case United States 21 1.4k 0.9× 307 0.4× 524 0.9× 195 0.6× 32 0.8× 77 1.5k
Thomas P. Rocco United States 9 750 0.5× 543 0.7× 163 0.3× 212 0.7× 83 2.0× 13 908
S. James Cullom United States 18 1.6k 1.0× 354 0.5× 598 1.1× 148 0.5× 40 1.0× 57 1.7k
Teruhito Kido Japan 21 973 0.6× 376 0.5× 437 0.8× 255 0.8× 125 3.0× 111 1.3k
William H. Smith United States 16 866 0.6× 517 0.7× 196 0.4× 312 1.0× 77 1.8× 18 1.1k
G Dupras Canada 11 615 0.4× 469 0.6× 116 0.2× 235 0.8× 40 1.0× 16 843
Linda Garrard Canada 12 1.0k 0.6× 517 0.7× 208 0.4× 244 0.8× 83 2.0× 28 1.2k
A. Iain McGhie United States 17 961 0.6× 557 0.7× 313 0.6× 230 0.8× 70 1.7× 61 1.3k

Countries citing papers authored by Kenneth Van Train

Since Specialization
Citations

This map shows the geographic impact of Kenneth 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 Kenneth 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 Kenneth Van Train more than expected).

Fields of papers citing papers by Kenneth Van Train

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

17 of 17 papers shown
1.
Packard, René R. Sevag, et al.. (2020). Diagnostic performance of automated myocardial blood flow quantitation by flurpiridaz F18 positron emission tomography: a sub-study of the flurpiridaz F18 301 clinical trial. 61. 652–652. 1 indexed citations
2.
Lewin, Howard C., Rory Hachamovitch, Alan G. Harris, et al.. (2000). Sustained reduction of exercise perfusion defect extent and severity with isosorbide mononitrate (Imdur) as demonstrated by means of technetium 99m sestamibi. Journal of Nuclear Cardiology. 7(4). 342–353. 22 indexed citations
3.
Berman, Daniel S., Rory Hachamovitch, Hosen Kiat, et al.. (1995). Incremental value of prognostic testing in patients with known or suspected ischemic heart disease: A basis for optimal utilization of exercise technetium-99m sestamibi myocardial perfusion single-photon emission computed tomography. Journal of the American College of Cardiology. 26(3). 639–647. 442 indexed citations
4.
Kiat, Hosen, Fan Ping Wang, Guido Germano, et al.. (1995). 962-61 Late Redistribution T1-201/Stress Tc-99m Sestamibi Separate Acquisition Dual Isotope Myocardial Perfusion SPECT: A Feasibility Study. Journal of the American College of Cardiology. 25(2). 215A–216A. 1 indexed citations
5.
Germano, Guido, et al.. (1995). Automatic determination of reconstruction limits from projection images in myocardial perfusion SPECT. Journal of Nuclear Cardiology. 2(2). S36–S36. 7 indexed citations
6.
Matzer, Lisa, Hosen Kiat, Fan Ping Wang, et al.. (1994). Pharmacologic stress dual-isotope myocardial perfusion single-photon emission computed tomography. American Heart Journal. 128(6). 1067–1076. 35 indexed citations
7.
Berman, Daniel S., Hosen Kiat, Kenneth Van Train, et al.. (1994). Dual-Isotope Myocardial Perfusion Spect with Rest Thallium-201 and Stress Tc-99m Sestamibi. Cardiology Clinics. 12(2). 261–270. 26 indexed citations
8.
Berman, Daniel S., Hosen Kiat, John D. Friedman, et al.. (1993). Separate acquisition rest thallium-201/stress technetium-99m sestamibi dual-isotope myocardial perfusion single-photon emission computed tomography: A clinical validation study. Journal of the American College of Cardiology. 22(5). 1455–1464. 430 indexed citations
9.
Train, Kenneth Van, James Bietendorf, Ernest Garcia, et al.. (1991). An Optimized Protocol for Detection of Coronary Artery Disease Using Technetium-99m-Sestamibi. Journal of Nuclear Medicine Technology. 19(2). 63–67.
10.
Matzer, Lisa, Hosen Kiat, John D. Friedman, et al.. (1991). A new approach to the assessment of tomographic thallium-201 scintigraphy in patients with left bundle branch block. Journal of the American College of Cardiology. 17(6). 1309–1317. 51 indexed citations
11.
Berman, Daniel S., Hosen Kiat, Kenneth Van Train, et al.. (1991). Technetium 99m sestamibi in the assessment of chronic coronary artery disease. Seminars in Nuclear Medicine. 21(3). 190–212. 89 indexed citations
12.
Chouraqui, Pierre, Jamshid Maddahi, Enrique Ostrzega, et al.. (1990). Quantitative exercise thallium-201 rotational tomography for evaluation of patients with prior myocardial infarction. The American Journal of Cardiology. 66(2). 151–157. 22 indexed citations
13.
Maddahi, Jamshid, Kenneth Van Train, F Prigent, et al.. (1989). Quantitative single photon emission computed thallium-201 tomography for detection and localization of coronary artery disease: Optimization and prospective validation of a new technique. Journal of the American College of Cardiology. 14(7). 1689–1699. 158 indexed citations
14.
Friedman, John D., Daniel S. Berman, Kenneth Van Train, et al.. (1988). Patient Motion in Thallium-201 Myocardial SPECT Imaging An Easily Identified Frequent Source of Artifactual Defect. Clinical Nuclear Medicine. 13(5). 321–324. 39 indexed citations
15.
16.
Garcia, Ernest, Kenneth Van Train, Jamshid Maddahi, et al.. (1985). Quantification of rotational thallium-201 myocardial tomography.. PubMed. 26(1). 17–26. 327 indexed citations
17.
Prigent, F, Jamshid Maddahi, Ernest Garcia, et al.. (1985). Thallium-201 stress-redistribution myocardial rotational tomography: Development of criteria for visual interpretation. American Heart Journal. 109(2). 274–281. 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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