Ken Wang

2.1k total citations
58 papers, 1.0k citations indexed

About

Ken Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Ken Wang has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Cardiology and Cardiovascular Medicine and 13 papers in Biomedical Engineering. Recurrent topics in Ken Wang's work include Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (11 papers) and Neuroscience and Neural Engineering (7 papers). Ken Wang is often cited by papers focused on Cardiac electrophysiology and arrhythmias (17 papers), Ion channel regulation and function (11 papers) and Neuroscience and Neural Engineering (7 papers). Ken Wang collaborates with scholars based in Switzerland, United States and United Kingdom. Ken Wang's co-authors include Mary T. Draney, Joy P. Ku, David Parker, Christopher K. Zarins, Brooke N. Steele, Liudmila Polonchuk, Charles Taylor, David J. Gavaghan, Gary R. Mirams and Charles A. Taylor and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Environmental Pollution.

In The Last Decade

Ken Wang

53 papers receiving 994 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ken Wang Switzerland	16	383	251	224	222	163	58	1.0k
Marcelo E. Andía Chile	25	295 0.8×	337 1.3×	157 0.7×	521 2.3×	350 2.1×	91	1.8k
Mark Davies Ireland	21	427 1.1×	491 2.0×	131 0.6×	41 0.2×	95 0.6×	99	1.4k
Toshihiro Nishimura Japan	16	283 0.7×	82 0.3×	237 1.1×	121 0.5×	170 1.0×	135	1.2k
Yi Qian Australia	23	353 0.9×	96 0.4×	320 1.4×	295 1.3×	907 5.6×	105	2.0k
F. Fischer Germany	16	127 0.3×	93 0.4×	240 1.1×	177 0.8×	56 0.3×	48	793
Jinfeng Xu China	17	140 0.4×	94 0.4×	237 1.1×	141 0.6×	124 0.8×	124	983
Hiroyuki Ohnishi Japan	19	86 0.2×	110 0.4×	154 0.7×	178 0.8×	137 0.8×	105	910
Yasushi Mizuno Japan	14	264 0.7×	88 0.4×	71 0.3×	119 0.5×	40 0.2×	86	663
Takeshi Yamada Japan	18	322 0.8×	258 1.0×	56 0.3×	193 0.9×	266 1.6×	144	1.0k

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-authorship network of co-authors of Ken Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Wang. A scholar is included among the top collaborators of Ken Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ken Wang. Ken Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Özkırımlı, Elif, Stefanie Bendels, Candice Jamois, et al.. (2025). Enhancing Severe Neutropenia Prediction: PKPD ‐Informed Labeling for Machine Learning Models Trained on Real‐World Data. Clinical Pharmacology & Therapeutics. 119(2). 427–436.

Wang, Ken, Neil Parrott, & Thierry Lavé. (2025). Embracing the future of medicine with virtual patients. Drug Discovery Today. 30(3). 104322–104322. 5 indexed citations

Cai, Yu, Haibo Liu, Yu Zhao, et al.. (2025). The effects of VR-based multi-task sensorimotor intervention on motor performance in children with ADHD and DCD comorbidity. Scientific Reports. 15(1). 43960–43960.

Zhou, Min, Yuanyuan Liu, Chun Ye, et al.. (2024). The impact of electrical stimulation on NaCl diffusion in tenderloin and the quality of dry-cured loin during the marination process. Food Chemistry X. 24. 102000–102000. 1 indexed citations

Clerx, Michael, Fergus Cooper, Liudmila Polonchuk, et al.. (2023). Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment. Frontiers in Pharmacology. 14. 1110555–1110555. 2 indexed citations

Lambert, Ben, et al.. (2023). Simulating clinical trials for model-informed precision dosing: using warfarin treatment as a use case. Frontiers in Pharmacology. 14. 1270443–1270443. 5 indexed citations

Steger‐Hartmann, Thomas, Annika Kreuchwig, Ken Wang, et al.. (2023). Perspectives of data science in preclinical safety assessment. Drug Discovery Today. 28(8). 103642–103642. 7 indexed citations

Lambert, Ben, et al.. (2023). Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data. PLoS Computational Biology. 19(5). e1011135–e1011135. 5 indexed citations

Polonchuk, Liudmila, et al.. (2022). Mathematical modelling of autoimmune myocarditis and the effects of immune checkpoint inhibitors. Journal of Theoretical Biology. 537. 111002–111002. 7 indexed citations

10.

Marrer‐Berger, Estelle, et al.. (2021). Cytokine Release Syndrome By T-cell–Redirecting Therapies: Can We Predict and Modulate Patient Risk?. Clinical Cancer Research. 27(22). 6083–6094. 23 indexed citations

11.

Bentley, Darren, et al.. (2020). PKPD and cardiac single cell modeling of a DDI study with a CYP3A4 substrate and itraconazole to quantify the effects on QT interval duration. Journal of Pharmacokinetics and Pharmacodynamics. 47(5). 447–459. 1 indexed citations

12.

Deng, Zijian, Hamid Dehghani, Juvenal Reyes, et al.. (2020). In vivo bioluminescence tomography-guided radiation research platform for pancreatic cancer: an initial study using subcutaneous and orthotopic pancreatic tumor models. PubMed. 93. 9–9. 4 indexed citations

13.

Lei, Chon Lok, Michael Clerx, Kylie A. Beattie, et al.. (2019). Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence. Biophysical Journal. 117(12). 2455–2470. 29 indexed citations

14.

Zhang, Jitao David, et al.. (2019). Multiscale modelling of drug mechanism and safety. Drug Discovery Today. 25(3). 519–534. 16 indexed citations

15.

Kroll, Katharina T., et al.. (2017). Electro-mechanical conditioning of human iPSC-derived cardiomyocytes for translational research. Progress in Biophysics and Molecular Biology. 130(Pt B). 212–222. 64 indexed citations

16.

Wang, Ken, Andreu M. Climent, David J. Gavaghan, Peter Köhl, & Christian Bollensdorff. (2016). Room Temperature vs Ice Cold - Temperature Effects on Cardiac Cell Action Potential. Biophysical Journal. 110(3). 587a–587a. 1 indexed citations

17.

Wang, Ken, et al.. (2014). Living cardiac tissue slices: An organotypic pseudo two-dimensional model for cardiac biophysics research. Progress in Biophysics and Molecular Biology. 115(2-3). 314–327. 22 indexed citations

18.

Wang, Ken, et al.. (2010). Pre-clinic study of uniformity of light blanket for intraoperative photodynamic therapy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7551. 755112–755112. 10 indexed citations

19.

Taylor, Charles A., Mary T. Draney, Joy P. Ku, et al.. (1999). Predictive Medicine: Computational Techniques in Therapeutic Decision-Making. Computer Aided Surgery. 4(5). 231–247. 170 indexed citations

20.

Taylor, Charles, Mary T. Draney, Joy P. Ku, et al.. (1999). Predictive medicine: Computational techniques in therapeutic decision-making. Computer Aided Surgery. 4(5). 231–247. 207 indexed citations

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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