Ken Wang

2.1k citations
54 papers · 1.1k · h-index 16

Impact in

Papers in

Ken Wang

51 papers receiving 1.1k citations

Peers

Ken Wang
Comparison fields: 5 of 128
  • Cardiology and Cardiovascular Medicine 375
  • Health Informatics 16
  • Computer Graphics and Computer-Aided Design 26
  • Pulmonary and Respiratory Medicine 172
  • Surgery 222
Replace Marcelo E. Andía with:
Marcelo E. Andía Chile
Jinfeng Xu China
Jianning Li China
Yi Qian Australia
Julien Abinahed Qatar
Zhen Zhou China
Vanessa Díaz‐Zuccarini United Kingdom
Mark Davies Ireland
Ken Wang relative to Marcelo E. Andía Chile Marcelo E. Andía's profile →
Citations per field
00.5×10×13×
Marcelo E. Andía · 1×
Citations per year

Countries citing papers authored by Ken Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ken Wang Line = papers co-authored together Ken Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999230
2 1999194
3 201769
4 201963
5 201553
6 201651
7 201939
8 201736
9 201935
10 201634
11 201930
12 201926
13 202124
14 201918
15 200916
16 202315
17 201215
18 201715
19 201013
20 201113

About Ken Wang

Ken Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Cellular and Molecular Neuroscience and Oncology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (16 papers), Ion channel regulation and function (11 papers), Photoacoustic and Ultrasonic Imaging (6 papers), Neuroscience and Neural Engineering (5 papers), Photodynamic Therapy Research Studies (4 papers), Receptor Mechanisms and Signaling (4 papers), Nanoplatforms for cancer theranostics (4 papers) and Optical Imaging and Spectroscopy Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (375 citations), Health Informatics (16 citations), Computer Graphics and Computer-Aided Design (26 citations), Pulmonary and Respiratory Medicine (172 citations) and Surgery (222 citations). Ken Wang has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Christopher K. Zarins, Brooke N. Steele, David Parker, Mary T. Draney, Joy P. Ku, Liudmila Polonchuk, Charles Taylor, Charles A. Taylor, Gary R. Mirams and David J. Gavaghan. Their work appears in journals such as Drug Discovery Today, Frontiers in Pharmacology, Computer Aided Surgery, Biophysical Journal and Frontiers in Physiology.

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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