Ken Gin

1.5k citations
52 papers · 1.1k · h-index 19

Impact in

Papers in

Ken Gin

50 papers receiving 1.0k citations

Peers

Ken Gin
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 550
  • Critical Care and Intensive Care Medicine 69
  • Health Informatics 21
  • Radiology, Nuclear Medicine and Imaging 286
  • Health Information Management 23
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Citations per field
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Citations per year

Countries citing papers authored by Ken Gin

Since Specialization
Citations

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

Fields of papers citing papers by Ken Gin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Gin. 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 Ken Gin. The network helps show where Ken Gin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003111
2 2017108
3 199897
4 199880
5 201868
6 200550
7 201243
8 201943
9 201942
10
Pulmonary effects of low dose amiodarone: a review of the risks and recommendations for surveillance.
200032
11 201831
12 201730
13 201827
14 202025
15 201822
16 201922
17 201922
18 201720
19 201619
20
The efficacy and safety of combination warfarin and ASA therapy: a systematic review of the literature and update of guidelines.
199817

About Ken Gin

Ken Gin is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (20 papers), Cardiac Valve Diseases and Treatments (13 papers), Cardiac Imaging and Diagnostics (12 papers), Atrial Fibrillation Management and Outcomes (7 papers), ECG Monitoring and Analysis (5 papers), Hemodynamic Monitoring and Therapy (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Ultrasound in Clinical Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (550 citations), Critical Care and Intensive Care Medicine (69 citations), Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (286 citations) and Health Information Management (23 citations). Ken Gin has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include John Jue, Teresa S.M. Tsang, Purang Abolmaesumi, Robert Rohling, Christina Luong, Amir H. Abdi, Hany Girgis, Zhibin Liao, Brad Munt and John C. Fenwick. Their work appears in journals such as Canadian Journal of Cardiology, IEEE Transactions on Medical Imaging, Journal of the American Society of Echocardiography, Circulation 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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