Garry Choy

3.9k citations
52 papers · 2.6k · 2 hit papers · h-index 26

Impact in

Papers in

Garry Choy

51 papers receiving 2.5k citations

Garry Choy's Hit Papers

Current Applications and Future Impact of Machine Learning in Radiology 2018 · 570 citations
5700+3+6Years since publication100200300400500

Peers

Garry Choy
Comparison fields: 5 of 144
  • Health Informatics 290
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Family Practice 35
  • Hepatology 117
  • Oral Surgery 101
Replace Marc Kohli with:
Marc Kohli United States
Pari V. Pandharipande United States
George Shih United States
Alexander J. Towbin United States
Shelly Soffer Israel
Daniel Pinto dos Santos Germany
Tessa S. Cook United States
Bettina Baeßler Germany
Filippo Pesapane Italy
Eui Jin Hwang South Korea
Garry Choy relative to Marc Kohli United States Marc Kohli's profile →
Citations per field
00.5×3.7×
Marc Kohli · 1×
Citations per year

Countries citing papers authored by Garry Choy

Since Specialization
Citations

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

Fields of papers citing papers by Garry Choy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Current Applications and Future Impact of Machine Learning in Radiology
Hit paper breakdown →
2018570
2
Fully Automated Deep Learning System for Bone Age Assessment
Hit paper breakdown →
2017325
3 2003160
4 2009153
5 2012141
6 2003135
7 201470
8 201569
9 201568
10 201561
11 201548
12 201246
13 201843
14 200343
15 201742
16 201440
17 201138
18 200936
19 201434
20 201332

About Garry Choy

Garry Choy is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Infectious Diseases and Molecular Biology, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Radiology practices and education (18 papers), Radiation Dose and Imaging (10 papers), Digital Radiography and Breast Imaging (3 papers), Ultrasound in Clinical Applications (3 papers), bioluminescence and chemiluminescence research (3 papers), Digital Imaging in Medicine (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Hernia repair and management (2 papers). The work is most often cited by research in Health Informatics (290 citations), Radiology, Nuclear Medicine and Imaging (1.1k citations), Family Practice (35 citations), Hepatology (117 citations) and Oral Surgery (101 citations). Garry Choy has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Synho Do, Dushyant V. Sahani, Peter L. Choyke, Steven K. Libutti, Pari V. Pandharipande, Omid Khalilzadeh, Andrew J. Gunn, James A. Brink, Keith J. Dreyer and Mark Michalski. Their work appears in journals such as American Journal of Roentgenology, Journal of the American College of Radiology, Radiology, Journal of Computer Assisted Tomography and Molecular 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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