Danny Chu

4.4k citations
149 papers · 2.8k indexed · h-index 29

Danny Chu

143 papers receiving 2.7k citations

Peers

Danny Chu
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 1.5k
  • Pulmonary and Respiratory Medicine 1.1k
  • Critical Care and Intensive Care Medicine 141
  • Emergency Medicine 244
  • Surgery 1.1k
Replace Damien J. LaPar with:
Damien J. LaPar United States
Jason Wang United States
George J. Arnaoutakis United States
Fergal J. Fleming United States
Nathaniel R. Smilowitz United States
Faiz Gani United States
Steven Mills United States
Fabian M. Johnston United States
Jean‐François Légaré Canada
Jeffrey J. Siracuse United States
Danny Chu relative to Damien J. LaPar United States Damien J. LaPar's profile →
Citations per field
00.5×
Damien J. LaPar · 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-authorship network

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
#Work
1 20241
2 20247
3 20239
4 20237
5 202318
6 20238
7 20238
8 20232
9 20227
10 202211
11 201830
12 20122
13 201220
14 201219
15 201110
16 201027
17 2010137
18
Normal versus High Tension Glaucoma: A Comparison of Functional and Structural Deficits
20082
19 20088
20 200354

About Danny Chu

Danny Chu is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Internal Medicine and Hepatology, having authored 149 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (56 papers), Cardiac, Anesthesia and Surgical Outcomes (50 papers), Aortic Disease and Treatment Approaches (42 papers), Infective Endocarditis Diagnosis and Management (24 papers), Cardiac and Coronary Surgery Techniques (20 papers), Aortic aneurysm repair treatments (19 papers), Cardiac Structural Anomalies and Repair (16 papers) and Cardiovascular Function and Risk Factors (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Pulmonary and Respiratory Medicine (1.1k citations), Critical Care and Intensive Care Medicine (141 citations), Emergency Medicine (244 citations) and Surgery (1.1k 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 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, 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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