Chee Tang Chin

1.6k citations
51 papers · 1.1k indexed · h-index 17

Chee Tang Chin

48 papers receiving 1.1k citations

Peers

Chee Tang Chin
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 936
  • Internal Medicine 95
  • Family Practice 33
  • Radiology, Nuclear Medicine and Imaging 202
  • Emergency Medicine 84
Replace Prafulla Kerkar with:
Prafulla Kerkar India
Jane A. Linderbaum United States
Hussam AlFaleh Saudi Arabia
Haitham Amin Qatar
Troels Yndigegn Sweden
Ann Quill United States
P.P. Mohanan India
Dimitri Kalavrouziotis Canada
Ajay Jain United Kingdom
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Chee Tang Chin relative to Prafulla Kerkar India Prafulla Kerkar's profile →
Citations per field
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Prafulla Kerkar · 1×
Citations per year

Countries citing papers authored by Chee Tang Chin

Since Specialization
Citations

This map shows the geographic impact of Chee Tang Chin'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 Chee Tang Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chee Tang Chin more than expected).

Fields of papers citing papers by Chee Tang Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Tang Chin. 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 Chee Tang Chin. The network helps show where Chee Tang Chin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20234
3 20215
4 20208
5 202013
6 201935
7 201812
8 201785
9 201712
10 20161
11 201614
12 20152
13 20152
14
Abstract 14546: Contemporary Pre-Hospital Management of Acute Coronary Syndromes Patients: Results From the EPICOR Asia Study
20134
15 20138
16 20121
17 201123
18
Abstract 10175: The Impact of Anticoagulation During Intra-Aortic Balloon Counterpulsation Pump Placement on In-Hospital Outcomes in 18,875 Patients Undergoing Cardiac Revascularization
20102
19 2010143
20 201098

About Chee Tang Chin

Chee Tang Chin is a scholar working on Cardiology and Cardiovascular Medicine, Family Practice and Internal Medicine, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (38 papers), Antiplatelet Therapy and Cardiovascular Diseases (22 papers), Cardiac Imaging and Diagnostics (12 papers), Coronary Interventions and Diagnostics (12 papers), Heart Failure Treatment and Management (10 papers), Atrial Fibrillation Management and Outcomes (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Mechanical Circulatory Support Devices (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (936 citations), Internal Medicine (95 citations) and Family Practice (33 citations). Chee Tang Chin has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Tracy Y. Wang, Matthew T. Roe, Robin Mathews, Eric D. Peterson, Gregg C. Fonarow, Yong Huo, Anita Y. Chen, John S. Rumsfeld, Karen P. Alexander and Stuart Pocock.

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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