Danny Chu

4.6k citations
176 papers · 3.3k · h-index 32

Impact in

Papers in

Danny Chu

160 papers receiving 3.1k citations

Peers

Danny Chu
Comparison fields: 5 of 89
  • Biochemistry 232
  • Pulmonary and Respiratory Medicine 1k
  • Cardiology and Cardiovascular Medicine 717
  • Surgery 963
  • Emergency Medicine 167
Replace Judson B. Williams with:
Judson B. Williams United States
Brian R. Englum United States
Jeffrey J. Siracuse United States
Tej Sheth Canada
Vipin Zamvar United Kingdom
Christopher Hogan United States
Robert L. Berger United States
Jeffrey A. Kalish United States
Eric J. Charles United States
Stephen J. Kovach United States
Danny Chu relative to Judson B. Williams United States Judson B. Williams's profile →
Citations per field
00.5×2×4×6×7.6×
Judson B. Williams · 1×
Citations per year

Countries citing papers authored by Danny Chu

Since Specialization
Citations

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

Fields of papers citing papers by Danny Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003310
2 2010151
3 2021137
4 2010126
5 2003121
6 202176
7 201164
8 200963
9 201163
10 200359
11 200959
12 200959
13 202158
14 201457
15 202148
16
Papillary fibroelastoma of the aortic valve: operative approaches upon incidental discovery.
200947
17 201045
18 200442
19 200842
20 201440

About Danny Chu

Danny Chu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Biochemistry and Health Information Management, having authored 176 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cardiac and Coronary Surgery Techniques (51 papers), Cardiac Valve Diseases and Treatments (35 papers), Aortic Disease and Treatment Approaches (29 papers), Coronary Interventions and Diagnostics (11 papers), Blood transfusion and management (7 papers), Cardiac, Anesthesia and Surgical Outcomes (7 papers), Healthcare Quality and Management (5 papers) and Innovations in Medical Education (5 papers). The work is most often cited by research in Biochemistry (232 citations), Pulmonary and Respiratory Medicine (1k citations), Cardiology and Cardiovascular Medicine (717 citations), Surgery (963 citations) and Emergency Medicine (167 citations). Danny Chu has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Faisal G. Bakaeen, Joseph Huh, Joseph Stapleton Coselli, Scott A. LeMaire, Tam K. Dao, Raja R. Gopaldas, Christopher C. Sullivan, Patricia A. Thistlethwaite, Stuart W. Jamieson and Paul L. Wolf. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Journal of Surgical Research, JAMA Surgery and The American Journal of Surgery.

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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