Ken Wang
Impact in
-
- Cardiac electrophysiology and arrhythmias
- Cardiovascular Health and Disease Prevention
- Cardiovascular Function and Risk Factors
- Health Informatics top 10%
Papers in ⓘ
-
- Cardiac electrophysiology and arrhythmias 17
- Co-authors
- Christopher K. Zarins (3 shared papers)David Parker (2 shared papers)Brooke N. Steele (3 shared papers)Mary T. Draney (3 shared papers)Joy P. Ku (3 shared papers)Liudmila Polonchuk (14 shared papers)Charles Taylor (2 shared papers)David J. Gavaghan (14 shared papers)
- Journals
- Drug Discovery Today (6 papers)Computer Aided Surgery (3 papers)Frontiers in Pharmacology (3 papers)Biophysical Journal (3 papers)Progress in Biophysics and Molecular Biology (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Ken Wang
53 papers receiving 994 citations
Peers
Comparison fields: 5 of 125
- Cardiology and Cardiovascular Medicine 383
- Health Informatics 17
- Computer Graphics and Computer-Aided Design 26
- Cellular and Molecular Neuroscience 114
- Biomedical Engineering 224
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 207 | |
| 2 | 1999 | 170 | |
| 3 | 2017 | 64 | |
| 4 | 2019 | 55 | |
| 5 | 2015 | 50 | |
| 6 | 2016 | 48 | |
| 7 | 2017 | 35 | |
| 8 | 2019 | 34 | |
| 9 | 2019 | 31 | |
| 10 | 2016 | 31 | |
| 11 | 2019 | 29 | |
| 12 | 2019 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2019 | 16 | |
| 16 | 2012 | 15 | |
| 17 | 2009 | 14 | |
| 18 | 2017 | 14 | |
| 19 | 2023 | 12 | |
| 20 | 2011 | 12 |
About Ken Wang
Ken Wang is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics, Toxicology, Electrochemistry and Family Practice, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (11 papers), Neuroscience and Neural Engineering (7 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Nanoplatforms for cancer theranostics (4 papers), Receptor Mechanisms and Signaling (4 papers), Photodynamic Therapy Research Studies (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (383 citations), Health Informatics (17 citations), Computer Graphics and Computer-Aided Design (26 citations), Cellular and Molecular Neuroscience (114 citations) and Biomedical Engineering (224 citations). Ken Wang has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Christopher K. Zarins, David Parker, Brooke N. Steele, Mary T. Draney, Joy P. Ku, Liudmila Polonchuk, Charles Taylor, David J. Gavaghan, Gary R. Mirams and Charles A. Taylor. Their work appears in journals such as Drug Discovery Today, Computer Aided Surgery, Frontiers in Pharmacology, Biophysical Journal and Progress in Biophysics and Molecular Biology.
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.