James Gerlach

1.8k citations
20 papers · 1.2k · h-index 15

Impact in

Papers in

James Gerlach

20 papers receiving 1.2k citations

Peers

James Gerlach
Comparison fields: 5 of 56
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Cardiology and Cardiovascular Medicine 451
  • Biomedical Engineering 408
  • Surgery 290
  • Behavioral Neuroscience 8
Replace Joan T. Merrill with:
Joan T. Merrill United States
E DePuey United States
Marco A.S. Cordeiro United States
R. Williams United Kingdom
Andrew L. McGinn United States
Kazuo Hirata Japan
J J Mahmarian United States
María Cecilia Ziadi Canada
Takahisa Uchiyama Japan
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Citations per field
00.5×1.7×
Joan T. Merrill · 1×
Citations per year

Countries citing papers authored by James Gerlach

Since Specialization
Citations

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

Fields of papers citing papers by James Gerlach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James Gerlach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Gerlach Line = papers co-authored together James Gerlach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2007236
2 2004217
3 2003149
4 2009116
5
Integration of automatically measured transient ischemic dilation ratio into interpretation of adenosine stress myocardial perfusion SPECT for detection of severe and extensive CAD.
200480
6 201377
7 200655
8 201045
9 200644
10 200439
11 200938
12 200628
13 200124
14 200620
15 201017
16 197712
17 20109
18 19998
19 20096
20 20072

About James Gerlach

James Gerlach is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Surgery and Behavioral Neuroscience, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (17 papers), Advanced MRI Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (8 papers), Medical Imaging Techniques and Applications (4 papers), Cardiovascular Function and Risk Factors (4 papers), Coronary Interventions and Diagnostics (3 papers), Hypothalamic control of reproductive hormones (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cardiology and Cardiovascular Medicine (451 citations), Biomedical Engineering (408 citations), Surgery (290 citations) and Behavioral Neuroscience (8 citations). James Gerlach has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Guido Germano, Daniel S. Berman, Sean W. Hayes, John D. Friedman, Xingping Kang, Piotr J. Slomka, Ishac Cohen, Rory Hachamovitch, Aiden Abidov and Louise Thomson. Their work appears in journals such as Journal of Nuclear Cardiology, Journal of Nuclear Medicine, Journal of the American College of Cardiology, Psychoneuroendocrinology and ASAIO 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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