Ken Wang
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
- Cardiovascular Health and Disease Prevention
- Health Informatics top 10%
Papers in
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- Cardiac electrophysiology and arrhythmias 20
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- Ion channel regulation and function 12
- Co-authors
- David Parker (2 shared papers)Brooke N. Steele (3 shared papers)Joy P. Ku (3 shared papers)Mary T. Draney (3 shared papers)Christopher K. Zarins (3 shared papers)Liudmila Polonchuk (15 shared papers)Charles Alan Taylor (2 shared papers)Gary Richard Mirams (12 shared papers)
- Journals
- Drug Discovery Today (6 papers)Biophysical Journal (3 papers)Frontiers in Pharmacology (3 papers)Computer Aided Surgery (3 papers)Clinical Pharmacology & Therapeutics (3 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Ken Wang
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 147
- Cardiology and Cardiovascular Medicine 545
- Health Informatics 19
- Cellular and Molecular Neuroscience 135
- Computer Graphics and Computer-Aided Design 28
- Molecular Biology 455
Countries citing papers authored by Ken Wang
This map shows the geographic impact of Ken Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Wang more than expected).
Fields of papers citing papers by Ken Wang
This network shows the impact of papers produced by Ken Wang. 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 Wang. The network helps show where Ken Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 229 | |
| 2 | 1999 | 197 | |
| 3 | 2020 | 155 | |
| 4 | 2002 | 83 | |
| 5 | 2019 | 78 | |
| 6 | 2017 | 71 | |
| 7 | 2019 | 65 | |
| 8 | 2011 | 60 | |
| 9 | 2015 | 56 | |
| 10 | 2016 | 55 | |
| 11 | 2019 | 45 | |
| 12 | 2019 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2017 | 38 | |
| 15 | 2016 | 36 | |
| 16 | 2019 | 35 | |
| 17 | 2019 | 28 | |
| 18 | 2021 | 25 | |
| 19 | 2024 | 20 | |
| 20 | 2019 | 18 |
About Ken Wang
Ken Wang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Biophysics, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (20 papers), Ion channel regulation and function (12 papers), Neuroscience and Neural Engineering (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Photodynamic Therapy Research Studies (4 papers), Nanoplatforms for cancer theranostics (4 papers), Cell Image Analysis Techniques (3 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (545 citations), Health Informatics (19 citations), Cellular and Molecular Neuroscience (135 citations), Computer Graphics and Computer-Aided Design (28 citations) and Molecular Biology (455 citations). Ken Wang has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include David Parker, Brooke N. Steele, Joy P. Ku, Mary T. Draney, Christopher K. Zarins, Liudmila Polonchuk, Charles Alan Taylor, Gary Richard Mirams, Charles Anthony Taylor and David J. Gavaghan. Their work appears in journals such as Drug Discovery Today, Biophysical Journal, Frontiers in Pharmacology, Computer Aided Surgery and Clinical Pharmacology & Therapeutics.
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.