Kai Voges

798 total citations
13 papers, 533 citations indexed

About

Kai Voges is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Kai Voges has authored 13 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Cognitive Neuroscience and 5 papers in Neurology. Recurrent topics in Kai Voges's work include Neuroscience and Neural Engineering (6 papers), Vestibular and auditory disorders (5 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Kai Voges is often cited by papers focused on Neuroscience and Neural Engineering (6 papers), Vestibular and auditory disorders (5 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). Kai Voges collaborates with scholars based in Singapore, Netherlands and Italy. Kai Voges's co-authors include Chris I. De Zeeuw, Martijn Schonewille, Zhenyu Gao, Freek E. Hoebeek, Haibo Zhou, Chiheng Ju, Zhanmin Lin, Laurens W. J. Bosman, Tom J. H. Ruigrok and Elisa Galliano and has published in prestigious journals such as Neuron, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

Kai Voges

13 papers receiving 532 citations

Peers

Kai Voges
Jornt R. De Gruijl Netherlands
Tahl Holtzman United Kingdom
Jan-Willem Potters Netherlands
Shane A. Heiney United States
Hannah L. Payne United States
Laurens Witter Netherlands
Huyue Wu China
Jornt R. De Gruijl Netherlands
Kai Voges
Citations per year, relative to Kai Voges Kai Voges (= 1×) peers Jornt R. De Gruijl

Countries citing papers authored by Kai Voges

Since Specialization
Citations

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

Fields of papers citing papers by Kai Voges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Voges

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Voges. A scholar is included among the top collaborators of Kai Voges 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 Kai Voges. Kai Voges is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Blasiak, Agata, Kian Ann Ng, Gil Gerald Lasam Gammad, et al.. (2021). STEER: 3D Printed Guide for Nerve Regrowth Control and Neural Interface in Non-Human Primate Model. IEEE Transactions on Biomedical Engineering. 69(3). 1085–1092. 3 indexed citations
2.
Ng, Kian Ann, Anh Tuan, Wendy Yen Xian Peh, et al.. (2019). A Wireless Multi-Channel Peripheral Nerve Signal Acquisition System-on-Chip. IEEE Journal of Solid-State Circuits. 54(8). 2266–2280. 33 indexed citations
3.
Wang, Jiahui, Hao Wang, Sanghoon Lee, et al.. (2018). Decoding peripheral nerve sensory information with a spiked flexible neural interface. 182–185. 1 indexed citations
4.
Ng, Kian Ann, Rangarajan Jegadeesan, Kai Voges, et al.. (2017). Live demonstration: Programmable biphasic multi-channel constant current muscle stimulator with wireless power and data transfer. 1–1. 1 indexed citations
5.
Voges, Kai, Bin Wu, Laura Post, Martijn Schonewille, & Chris I. De Zeeuw. (2017). Mechanisms underlying vestibulo‐cerebellar motor learning in mice depend on movement direction. The Journal of Physiology. 595(15). 5301–5326. 38 indexed citations
6.
Wang, Jiahui, Hao Wang, Sanghoon Lee, et al.. (2017). A Highly Selective 3D Spiked Ultraflexible Neural (SUN) Interface for Decoding Peripheral Nerve Sensory Information. Advanced Healthcare Materials. 7(5). 34 indexed citations
7.
Ng, Kian Ann, Sudip Nag, Rangarajan Jegadeesan, et al.. (2017). A chronic implantable EMG recording system with wireless power and data transfer. 1–4. 6 indexed citations
8.
Voges, Kai, et al.. (2016). Tactile Stimulation Evokes Long-Lasting Potentiation of Purkinje Cell Discharge In Vivo. Frontiers in Cellular Neuroscience. 10. 36–36. 26 indexed citations
9.
Zhou, Haibo, Kai Voges, Zhanmin Lin, Chiheng Ju, & Martijn Schonewille. (2015). Differential Purkinje cell simple spike activity and pausing behavior related to cerebellar modules. Journal of Neurophysiology. 113(7). 2524–2536. 26 indexed citations
10.
Rahmati, Negah, Cullen B. Owens, Laurens W. J. Bosman, et al.. (2014). Cerebellar Potentiation and Learning a Whisker-Based Object Localization Task with a Time Response Window. Journal of Neuroscience. 34(5). 1949–1962. 40 indexed citations
11.
Zhou, Haibo, Zhanmin Lin, Kai Voges, et al.. (2014). Cerebellar modules operate at different frequencies. eLife. 3. e02536–e02536. 221 indexed citations
12.
Badura, Aleksandra, Martijn Schonewille, Kai Voges, et al.. (2013). Climbing Fiber Input Shapes Reciprocity of Purkinje Cell Firing. Neuron. 78(4). 700–713. 99 indexed citations
13.
Voges, Kai & Horst Bleckmann. (2011). Two-dimensional receptive fields of midbrain lateral line units in the goldfish, Carassius auratus. Journal of Comparative Physiology A. 197(8). 827–837. 5 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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