Danny Chu

4.6k citations
155 papers · 3.0k · h-index 30

Impact in

Papers in

Danny Chu

146 papers receiving 2.9k citations

Peers

Danny Chu
Comparison fields: 5 of 96
  • Cardiology and Cardiovascular Medicine 937
  • Pulmonary and Respiratory Medicine 976
  • Emergency Medicine 175
  • Biochemistry 119
  • Critical Care and Intensive Care Medicine 86
Replace Jean‐François Légaré with:
Jean‐François Légaré Canada
Faiz Gani United States
A. Gerson Greenburg United States
Walter J. Scott United States
Daniel M. Kolansky United States
Elliott Levy United States
Adin‐Cristian Andrei United States
Stephen W. Waldo United States
Sang‐Chol Lee South Korea
Mark F. Conrad United States
Danny Chu relative to Jean‐François Légaré Canada Jean‐François Légaré's profile →
Citations per field
00.5×1.5×2.1×
Jean‐François Légaré · 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 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003313
2 2010148
3 2010121
4 2003117
5 2021106
6 200960
7 201559
8 201159
9 200959
10 200357
11 200956
12 201155
13 202155
14 201447
15 202147
16 200446
17 201042
18 200842
19 202140
20 202038

About Danny Chu

Danny Chu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Emergency Medicine, having authored 155 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (33 papers), Aortic Disease and Treatment Approaches (25 papers), Cardiac and Coronary Surgery Techniques (15 papers), Cardiac, Anesthesia and Surgical Outcomes (11 papers), Hospital Admissions and Outcomes (5 papers), Blood transfusion and management (5 papers), Cardiac Structural Anomalies and Repair (5 papers) and Aortic aneurysm repair treatments (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (937 citations), Pulmonary and Respiratory Medicine (976 citations), Emergency Medicine (175 citations), Biochemistry (119 citations) and Critical Care and Intensive Care Medicine (86 citations). Danny Chu has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Faisal G. Bakaeen, Joseph S. Coselli, Joseph Huh, Scott A. LeMaire, Tam K. Dao, Raja R. Gopaldas, Patricia A. Thistlethwaite, Christopher C. Sullivan, Stuart W. Jamieson and Lingling Du. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Journal of Surgical Research, The American Journal of Surgery and JAMA 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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