Gregory J Wehner

1.0k citations
27 papers · 701 · h-index 13

Impact in

Papers in

Gregory J Wehner

27 papers receiving 696 citations

Peers

Gregory J Wehner
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 506
  • Health Informatics 28
  • Radiology, Nuclear Medicine and Imaging 264
  • Health Information Management 35
  • Epidemiology 127
Replace Linyuan Jing with:
Linyuan Jing United States
Hyue Mee Kim South Korea
Rak Kyeong Choi South Korea
Christopher W. Good United States
Frank G. Aguilar United States
Márton Tokodi Hungary
Ivana Jankovic United States
Sukrit Narula United States
Sergio Sanchez‐Martinez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Gregory J Wehner

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J Wehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J Wehner. 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 Gregory J Wehner. The network helps show where Gregory J Wehner may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory J Wehner, 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 Gregory J Wehner Line = papers co-authored together Gregory J Wehner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019179
2 2018111
3 201657
4 201649
5 202145
6 201838
7 201633
8 201633
9 201830
10 201623
11 201522
12 201414
13 201613
14 201611
15 201710
16 201510
17 20155
18 20153
19 20182
20 20162

About Gregory J Wehner

Gregory J Wehner is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 701 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (20 papers), Advanced MRI Techniques and Applications (14 papers), Cardiac Imaging and Diagnostics (13 papers), Congenital Heart Disease Studies (5 papers), Cardiovascular Disease and Adiposity (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Cardiovascular Effects of Exercise (2 papers) and Atomic and Subatomic Physics Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (506 citations), Health Informatics (28 citations), Radiology, Nuclear Medicine and Imaging (264 citations), Health Information Management (35 citations) and Epidemiology (127 citations). Gregory J Wehner has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Brandon K. Fornwalt, Christopher M. Haggerty, Linyuan Jing, Jonathan D Suever, Christopher W. Good, Dustin N. Hartzel, H. Lester Kirchner, Manar D. Samad, Alvaro Ulloa and Joseph B. Leader. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Nature Biomedical Engineering, IEEE Transactions on Medical Imaging, European Heart Journal - Cardiovascular Imaging and Magnetic Resonance Imaging.

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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