Jack V. Tu
Impact in
- Cardiology and Cardiovascular Medicine top 0.05%
- Heart Failure Treatment and Management
- Cardiovascular Function and Risk Factors
- Acute Myocardial Infarction Research
- Cardiac pacing and defibrillation studies
- Atrial Fibrillation Management and Outcomes
- Family Practice top 0.1%
Papers in
-
- Heart Failure Treatment and Management 46
- Acute Myocardial Infarction Research 44
- Atrial Fibrillation Management and Outcomes 17
- Surgery 52
- Lipoproteins and Cardiovascular Health 22
- Co-authors
- Peter C. Austin (178 shared papers)Douglas S. Lee (99 shared papers)Peter P. Liu (16 shared papers)David A. Alter (50 shared papers)Dennis T. Ko (101 shared papers)C. David Naylor (23 shared papers)Moira K. Kapral (23 shared papers)Jiming Fang (24 shared papers)
- Journals
- Canadian Journal of Cardiology (47 papers)American Heart Journal (36 papers)Circulation (29 papers)Canadian Medical Association Journal (28 papers)Journal of the American College of Cardiology (18 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jack V. Tu
467 papers receiving 29.9k citations
Jack V. Tu's Hit Papers
Peers
Comparison fields: 5 of 220
- Cardiology and Cardiovascular Medicine 10.8k
- Family Practice 530
- Research and Theory 126
- Geriatrics and Gerontology 443
- Internal Medicine 379
Countries citing papers authored by Jack V. Tu
This map shows the geographic impact of Jack V. Tu'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 Jack V. Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack V. Tu more than expected).
Fields of papers citing papers by Jack V. Tu
This network shows the impact of papers produced by Jack V. Tu. 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 Jack V. Tu. The network helps show where Jack V. Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack V. Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 477 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Outcome of Heart Failure with Preserved Ejection Fraction in a Population-Based Study Hit paper breakdown → | 2006 | 1481 |
| 2 | Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes Hit paper breakdown → | 1996 | 1433 |
| 3 | Predicting Mortality Among Patients Hospitalized for Heart Failure Hit paper breakdown → | 2003 | 1031 |
| 4 | Effects of Socioeconomic Status on Access to Invasive Cardiac Procedures and on Mortality after Acute Myocardial Infarction Hit paper breakdown → | 1999 | 556 |
| 5 | A population-based study of the drug interaction between proton pump inhibitors and clopidogrel Hit paper breakdown → | 2009 | 528 |
| 6 | Relation of Disease Pathogenesis and Risk Factors to Heart Failure With Preserved or Reduced Ejection Fraction Hit paper breakdown → | 2009 | 515 |
| 7 | Relation between age and cardiovascular disease in men and women with diabetes compared with non-diabetic people: a population-based retrospective cohort study Hit paper breakdown → | 2006 | 503 |
| 8 | 2004 | 492 | |
| 9 | A multicenter study of the coding accuracy of hospital discharge administrative data for patients admitted to cardiac care units in Ontario Hit paper breakdown → | 2002 | 454 |
| 10 | Safety and Efficacy of Drug-Eluting and Bare Metal Stents Hit paper breakdown → | 2009 | 409 |
| 11 | 2008 | 377 | |
| 12 | 2004 | 332 | |
| 13 | 1995 | 329 | |
| 14 | 2008 | 325 | |
| 15 | 2005 | 308 | |
| 16 | 2002 | 295 | |
| 17 | 2008 | 286 | |
| 18 | 2011 | 285 | |
| 19 | Development and validation of the Osteoporosis Risk Assessment Instrument to facilitate selection of women for bone densitometry. | 2000 | 281 |
| 20 | 2007 | 268 |
About Jack V. Tu
Jack V. Tu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Economics and Econometrics, having authored 477 papers that have together received 31.0k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (46 papers), Acute Myocardial Infarction Research (44 papers), Lipoproteins and Cardiovascular Health (22 papers), Acute Ischemic Stroke Management (20 papers), Health Systems, Economic Evaluations, Quality of Life (19 papers), Cerebrovascular and Carotid Artery Diseases (17 papers), Atrial Fibrillation Management and Outcomes (17 papers) and Healthcare Policy and Management (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (10.8k citations), Family Practice (530 citations), Research and Theory (126 citations), Geriatrics and Gerontology (443 citations) and Internal Medicine (379 citations). Jack V. Tu has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter C. Austin, Douglas S. Lee, Peter P. Liu, David A. Alter, Dennis T. Ko, C. David Naylor, Moira K. Kapral, Jiming Fang, Yanyan Gong and Muhammad Mamdani. Their work appears in journals such as Canadian Journal of Cardiology, American Heart Journal, Circulation, Canadian Medical Association Journal and Journal of the American College of Cardiology.
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.