See Hooi Ewe

3.4k citations
95 papers · 2.3k indexed · h-index 26

See Hooi Ewe

91 papers receiving 2.3k citations

Peers

See Hooi Ewe
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 2.1k
  • Radiology, Nuclear Medicine and Imaging 804
  • Epidemiology 810
  • Geriatrics and Gerontology 46
  • Surgery 479
Replace Vasileios Kamperidis with:
Vasileios Kamperidis Greece
Wen Cheng United States
Goo-Yeong Cho South Korea
Alon Barsheshet Israel
Jawdat Abdulla Denmark
Christopher M. O'Connor United States
Spyridon Katsanos Netherlands
Vivienne E. Smith United States
Anvesha Singh United Kingdom
Paweł Kleczyński Poland
See Hooi Ewe relative to Vasileios Kamperidis Greece Vasileios Kamperidis's profile →
Citations per field
00.5×5.8×
Vasileios Kamperidis · 1×
Citations per year

Countries citing papers authored by See Hooi Ewe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 20234
4 20230
5 20223
6 202224
7 20211
8 202111
9 202137
10 202118
11 20204
12 20205
13 2019119
14 20131
15 201220
16 201183
17 20111
18 201111
19 201140
20 20101

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), Cardiac Imaging and Diagnostics (35 papers), Infective Endocarditis Diagnosis and Management (22 papers), Cardiac pacing and defibrillation studies (12 papers), Cardiac Arrhythmias and Treatments (12 papers), Cardiac Structural Anomalies and Repair (12 papers) and Aortic Disease and Treatment Approaches (9 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.

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