High-Seng Chai
Impact in
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- Acute Myocardial Infarction Research
- Cardiac, Anesthesia and Surgical Outcomes
- Cardiovascular Health and Disease Prevention
- Heart Failure Treatment and Management
Papers in
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- Acute Myocardial Infarction Research 4
- Cardiac, Anesthesia and Surgical Outcomes 2
- Heart Failure Treatment and Management 2
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- Sepsis Diagnosis and Treatment 4
- Co-authors
- Vlad C. Vasile (4 shared papers)Bekele Afessa (4 shared papers)Allan S. Jaffe (4 shared papers)José A. Pérez (2 shared papers)Luciano Babuin (2 shared papers)Jorge R. Alegría (2 shared papers)Kent R. Bailey (2 shared papers)LaPrincess C. Brewer (1 shared paper)
- Journals
- The American Journal of Medicine (2 papers)Critical Care Medicine (2 papers)Nucleic Acids Research (1 paper)BMC Bioinformatics (1 paper)Atherosclerosis (1 paper)
- Partner nations
- United StatesBelarus
In The Last Decade
High-Seng Chai
7 papers receiving 394 citations
Peers
Comparison fields: 5 of 59
- Cardiology and Cardiovascular Medicine 241
- Internal Medicine 14
- Radiology, Nuclear Medicine and Imaging 85
- Critical Care and Intensive Care Medicine 16
- Emergency Medicine 29
Countries citing papers authored by High-Seng Chai
This map shows the geographic impact of High-Seng Chai'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 High-Seng Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites High-Seng Chai more than expected).
Fields of papers citing papers by High-Seng Chai
This network shows the impact of papers produced by High-Seng Chai. 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 High-Seng Chai. The network helps show where High-Seng Chai may publish in the future.
Co-authors
The 25 scholars most cited alongside High-Seng Chai, 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 | 2008 | 108 | |
| 2 | 2011 | 80 | |
| 3 | 2013 | 63 | |
| 4 | 2006 | 43 | |
| 5 | 2010 | 42 | |
| 6 | 2008 | 41 | |
| 7 | 2009 | 27 |
About High-Seng Chai
High-Seng Chai is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 404 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (4 papers), Acute Myocardial Infarction Research (4 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Heart Failure Treatment and Management (2 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (1 paper), Genetic Associations and Epidemiology (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (241 citations), Internal Medicine (14 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Critical Care and Intensive Care Medicine (16 citations) and Emergency Medicine (29 citations). High-Seng Chai has collaborated with scholars based in United States and Belarus. Frequent co-authors include Vlad C. Vasile, Bekele Afessa, Allan S. Jaffe, José A. Pérez, Luciano Babuin, Jorge R. Alegría, Kent R. Bailey, LaPrincess C. Brewer, Jean‐Pierre Kocher and Yan W. Asmann. Their work appears in journals such as The American Journal of Medicine, Critical Care Medicine, Nucleic Acids Research, BMC Bioinformatics and Atherosclerosis.
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.