John W. Chu

419 citations
13 papers · 341 · h-index 9

Impact in

Papers in

John W. Chu

13 papers receiving 327 citations

Peers

John W. Chu
Comparison fields: 5 of 40
  • Cardiology and Cardiovascular Medicine 233
  • Epidemiology 104
  • Pulmonary and Respiratory Medicine 63
  • Obstetrics and Gynecology 13
  • Surgery 62
Replace Quanliang Shang with:
Quanliang Shang China
Wim M. Verweij Netherlands
Matthew R. Williams United States
David A. Briston United States
Teresa Alvarado Spain
Aurelie Dehaene France
Alain Berrebi France
Kesavan Pattena Sankaramangalam United States
David L. Nunley United States
Timothy M. Feeley Ireland
John W. Chu relative to Quanliang Shang China Quanliang Shang's profile →
Citations per field
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Quanliang Shang · 1×
Citations per year

Countries citing papers authored by John W. Chu

Since Specialization
Citations

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

Fields of papers citing papers by John W. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200881
2
Outcome and improvement predictors of mitral regurgitation after transcatheter aortic valve implantation.
201152
3 200846
4 200633
5 200929
6 201027
7 200922
8
Review of 65 cases of infective endocarditis in Dunedin Public Hospital.
200416
9 201211
10 20128
11 20126
12 20105
13 20115

About John W. Chu

John W. Chu is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Clinical Biochemistry, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 341 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Infective Endocarditis Diagnosis and Management (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Cardiovascular Function and Risk Factors (1 paper), Atrial Fibrillation Management and Outcomes (1 paper), Aortic Disease and Treatment Approaches (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (233 citations), Epidemiology (104 citations), Pulmonary and Respiratory Medicine (63 citations), Obstetrics and Gynecology (13 citations) and Surgery (62 citations). John W. Chu has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Michael H. Picard, Judy W. Hung, Kian Keong Poh, Robert Aaron Levine, Sarah O. Chua, Michael J.A. Williams, GERARD T. WILKINS, Eleanor L. Morris, Lanqi Hua and Richard W. Bunton. Their work appears in journals such as International Journal of Cardiology, QJM, The Annals of Thoracic Surgery, Annals of Internal Medicine and Journal of the American Society of Echocardiography.

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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