Kenneth Van Train

16 papers receiving 1.6k citations

Peers

Kenneth Van Train
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 1.6k
  • Cardiology and Cardiovascular Medicine 744
  • Biomedical Engineering 554
  • Surgery 304
  • Pulmonary and Respiratory Medicine 42
Replace Kenneth F. Van Train with:
Kenneth F. Van Train United States
Fan Ping Wang United States
G Dupras Canada
A. Iain McGhie United States
S. James Cullom United States
William H. Smith United States
Salvatore A. Chiaramida United States
William Kuhle United States
Oliver Lindner Germany
Frank M. Baer Germany
Kenneth Van Train relative to Kenneth F. Van Train United States Kenneth F. Van Train's profile →
Citations per field
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Kenneth F. Van Train · 1×
Citations per year

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
#WorkIndexed citations
1
Diagnostic performance of automated myocardial blood flow quantitation by flurpiridaz F18 positron emission tomography: a sub-study of the flurpiridaz F18 301 clinical trial
1
2 22
3 442
4 1
5 7
6 35
7 26
8 430
9
An Optimized Protocol for Detection of Coronary Artery Disease Using Technetium-99m-Sestamibi
0
10 51
11 89
12 22
13 158
14 39
15 23
16
Quantification of rotational thallium-201 myocardial tomography.
327
17 12

About Kenneth Van Train

Kenneth Van Train is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pathology and Forensic Medicine, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (14 papers), Medical Imaging Techniques and Applications (10 papers) and Advanced X-ray and CT Imaging (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Cardiology and Cardiovascular Medicine (744 citations) and Biomedical Engineering (554 citations). Kenneth Van Train has collaborated with scholars based in United States. Frequent 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. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology and American Heart Journal.

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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2026