See Hooi Ewe
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Victoria DelgadoJeroen J. BaxArnold C.T. NgNina Ajmone MarsanMartin J. SchalijMatteo BertiniDominique AugerFrank van der Kley
- Topics
- Cardiac Valve Diseases and Treatments (56 papers)Cardiovascular Function and Risk Factors (50 papers)Cardiac Imaging and Diagnostics (35 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- SingaporeNetherlandsAustralia
In The Last Decade
See Hooi Ewe
91 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 88
- Cardiology and Cardiovascular Medicine 2.1k
- Epidemiology 810
- Radiology, Nuclear Medicine and Imaging 804
- Surgery 479
- Pulmonary and Respiratory Medicine 335
Countries citing papers authored by See Hooi Ewe
This map shows the geographic impact of See Hooi Ewe'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 See Hooi Ewe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites See Hooi Ewe more than expected).
Fields of papers citing papers by See Hooi Ewe
This network shows the impact of papers produced by See Hooi Ewe. 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 See Hooi Ewe. The network helps show where See Hooi Ewe may publish in the future.
Co-authorship network of co-authors of See Hooi Ewe
This figure shows the co-authorship network connecting the top 25 collaborators of See Hooi Ewe. A scholar is included among the top collaborators of See Hooi Ewe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with See Hooi Ewe. See Hooi Ewe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 37 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 119 | |
| 14 | 1 | |
| 15 | 20 | |
| 16 | 83 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 40 | |
| 20 | 1 |
About See Hooi Ewe
See Hooi Ewe is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (56 papers), Cardiovascular Function and Risk Factors (50 papers) and Cardiac Imaging and Diagnostics (35 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Radiology, Nuclear Medicine and Imaging (804 citations) and Epidemiology (810 citations). See Hooi Ewe has collaborated with scholars based in Singapore, Netherlands and Australia. Frequent co-authors include Victoria Delgado, Jeroen J. Bax, Arnold C.T. Ng, Nina Ajmone Marsan, Martin J. Schalij, Matteo Bertini, Dominique Auger, Frank van der Kley, Arend de Weger and Dominic Y. Leung. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología 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.