Joon Win Tan
Impact in
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- Cardiovascular Function and Risk Factors
- Cardiac electrophysiology and arrhythmias
- Cardiac Fibrosis and Remodeling
- Cardiovascular Effects of Exercise
- Cardiomyopathy and Myosin Studies
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- Chronic Lymphocytic Leukemia Research
Papers in
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- Cardiovascular Function and Risk Factors 2
- Cardiac electrophysiology and arrhythmias 1
- Cardiovascular Effects of Exercise 1
- Cardiac Fibrosis and Remodeling 1
- Surgery 2
- Pancreatic function and diabetes 1
- Pancreatitis Pathology and Treatment 1
- Co-authors
- Nelly Cemerlang (3 shared papers)Helen Kiriazis (3 shared papers)Julie R. McMullen (3 shared papers)Elizabeth A. Woodcock (2 shared papers)Xiao‐Jun Du (1 shared paper)Rebecca H. Ritchie (1 shared paper)Karina Huynh (1 shared paper)J. Love (1 shared paper)
- Journals
- Circulation Heart Failure (1 paper)Diabetes (1 paper)American Journal Of Pathology (1 paper)HPB (1 paper)
- Partner nations
- AustraliaUnited StatesRussia
In The Last Decade
Joon Win Tan
5 papers receiving 392 citations
Peers
Comparison fields: 5 of 56
- Cardiology and Cardiovascular Medicine 224
- Genetics 53
- Pathology and Forensic Medicine 50
- Molecular Biology 185
- Complementary and alternative medicine 19
Countries citing papers authored by Joon Win Tan
This map shows the geographic impact of Joon Win Tan'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 Joon Win Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon Win Tan more than expected).
Fields of papers citing papers by Joon Win Tan
This network shows the impact of papers produced by Joon Win Tan. 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 Joon Win Tan. The network helps show where Joon Win Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Joon Win Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 152 | |
| 2 | 2010 | 119 | |
| 3 | 2012 | 116 | |
| 4 | 2009 | 5 | |
| 5 | 2015 | 1 |
About Joon Win Tan
Joon Win Tan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 393 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Vasculitis and related conditions (1 paper), Pancreatitis Pathology and Treatment (1 paper), Cardiovascular Effects of Exercise (1 paper) and Cardiac Fibrosis and Remodeling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (224 citations), Genetics (53 citations), Pathology and Forensic Medicine (50 citations), Molecular Biology (185 citations) and Complementary and alternative medicine (19 citations). Joon Win Tan has collaborated with scholars based in Australia, United States and Russia. Frequent co-authors include Nelly Cemerlang, Helen Kiriazis, Julie R. McMullen, Elizabeth A. Woodcock, Xiao‐Jun Du, Rebecca H. Ritchie, Karina Huynh, J. Love, Tetsuo Shioi and Ruby C.Y. Lin. Their work appears in journals such as Circulation Heart Failure, Diabetes, American Journal Of Pathology and HPB.
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.