Patrick K.C. Chun

591 citations
24 papers · 459 · h-index 10

Impact in

Papers in

Patrick K.C. Chun

23 papers receiving 415 citations

Peers

Patrick K.C. Chun
Comparison fields: 5 of 52
  • Cardiology and Cardiovascular Medicine 249
  • Pulmonary and Respiratory Medicine 245
  • Surgery 243
  • Epidemiology 112
  • Hematology 31
Replace Stefano Pratali with:
Stefano Pratali Italy
Jun Furui Japan
Patricia A. Lowry United States
Harold D. Head United States
Mathias Emmel Germany
U Kaul India
Timothy M. Winslow United States
Giancarlo Crupi Italy
J Cremer Germany
Erin L. Albers United States
Patrick K.C. Chun relative to Stefano Pratali Italy Stefano Pratali's profile →
Citations per field
00.5×1.7×
Stefano Pratali · 1×
Citations per year

Countries citing papers authored by Patrick K.C. Chun

Since Specialization
Citations

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

Fields of papers citing papers by Patrick K.C. Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick K.C. Chun. 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 Patrick K.C. Chun. The network helps show where Patrick K.C. Chun may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984162
2 198262
3 198035
4 198333
5 198229
6 198821
7 198415
8 198912
9 198010
10
Giant coronary pseudoaneurysm. Five-year follow-up after bypass grafting.
19819
11 19819
12 19888
13 19778
14 19848
15 19817
16 19896
17 19825
18 19805
19 19804
20 19824

About Patrick K.C. Chun

Patrick K.C. Chun is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Rheumatology, having authored 24 papers that have together received 459 indexed citations. Recurring topics across this work include Coronary Artery Anomalies (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Cardiac Arrhythmias and Treatments (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Cardiac Imaging and Diagnostics (3 papers), Congenital Heart Disease Studies (3 papers) and Kawasaki Disease and Coronary Complications (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (249 citations), Pulmonary and Respiratory Medicine (245 citations), Surgery (243 citations), Epidemiology (112 citations) and Hematology (31 citations). Patrick K.C. Chun has collaborated with scholars based in United States, Pakistan and Somalia. Frequent co-authors include Renu Virmani, Hugh A. McAllister, Max Robinowitz, Robert E. Goldstein, James E. Davia, Thomas Bowen, Lieutenant Colonel, John O. Parker, Eugene P. Flannery and Melvin D. Cheitlin. Their work appears in journals such as American Heart Journal, CHEST Journal, Journal of Thoracic and Cardiovascular Surgery, JAMA and Heart.

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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