Jan Müller

2.3k total citations
26 papers, 1.6k citations indexed

About

Jan Müller is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Jan Müller has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Jan Müller's work include Neuroscience and Neural Engineering (24 papers), Neural dynamics and brain function (18 papers) and Advanced Memory and Neural Computing (11 papers). Jan Müller is often cited by papers focused on Neuroscience and Neural Engineering (24 papers), Neural dynamics and brain function (18 papers) and Advanced Memory and Neural Computing (11 papers). Jan Müller collaborates with scholars based in Switzerland, Japan and United States. Jan Müller's co-authors include Andreas Hierlemann, Douglas J. Bakkum, Miloš Radivojević, Michele Fiscella, Vijay Viswam, Urs Frey, Yihui Chen, Amir Shadmani, Alexander Stettler and Felix Franke and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neurophysiology.

In The Last Decade

Jan Müller

26 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Müller Switzerland	19	1.2k	765	616	408	206	26	1.6k
Paolo Massobrio Italy	24	1.6k 1.3×	1.4k 1.8×	631 1.0×	467 1.1×	229 1.1×	83	2.2k
Miloš Radivojević Switzerland	14	946 0.8×	589 0.8×	447 0.7×	307 0.8×	137 0.7×	22	1.2k
Mariateresa Tedesco Italy	17	1.2k 1.0×	703 0.9×	379 0.6×	460 1.1×	323 1.6×	45	1.7k
Douglas J. Bakkum Switzerland	22	1.9k 1.5×	1.4k 1.8×	850 1.4×	483 1.2×	232 1.1×	49	2.3k
Alessandro Maccione Italy	22	1.5k 1.2×	1.0k 1.4×	531 0.9×	447 1.1×	301 1.5×	56	1.9k
Marie Engelene J. Obien Japan	12	832 0.7×	452 0.6×	430 0.7×	301 0.7×	86 0.4×	27	1.1k
Aviad Hai United States	12	1.2k 1.0×	373 0.5×	549 0.9×	537 1.3×	203 1.0×	21	1.6k
Ulrich Egert Germany	26	1.8k 1.5×	1.1k 1.4×	462 0.8×	440 1.1×	510 2.5×	55	2.5k
Günther Zeck Germany	26	1.3k 1.1×	581 0.8×	482 0.8×	299 0.7×	681 3.3×	68	1.8k
Yasuhiko Jimbo Japan	26	2.2k 1.8×	1.6k 2.1×	599 1.0×	646 1.6×	372 1.8×	186	2.9k

Countries citing papers authored by Jan Müller

Since Specialization

Citations

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

Fields of papers citing papers by Jan Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Müller. A scholar is included among the top collaborators of Jan Müller 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 Jan Müller. Jan Müller 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

Obaid, Abdulmalik, Mina-Elraheb Hanna, Yu‐Wei Wu, et al.. (2020). Massively parallel microwire arrays integrated with CMOS chips for neural recording. Science Advances. 6(12). eaay2789–eaay2789. 133 indexed citations

Köllő, Mihály, Mina-Elraheb Hanna, Abdulmalik Obaid, et al.. (2020). CHIME: CMOS-Hosted in vivo Microelectrodes for Massively Scalable Neuronal Recordings. Frontiers in Neuroscience. 14. 834–834. 22 indexed citations

Ronchi, Silvia, Michele Fiscella, Vijay Viswam, et al.. (2019). Single-Cell Electrical Stimulation Using CMOS-Based High-Density Microelectrode Arrays. Frontiers in Neuroscience. 13. 208–208. 52 indexed citations

Viswam, Vijay, Amir Shadmani, Jelena Dragas, et al.. (2017). High-density mapping of brain slices using a large multi-functional high-density CMOS microelectrode array system. PubMed. 2017. 135–138. 11 indexed citations

Jäckel, David, Douglas J. Bakkum, Tom Russell, et al.. (2017). Combination of High-density Microelectrode Array and Patch Clamp Recordings to Enable Studies of Multisynaptic Integration. Scientific Reports. 7(1). 978–978. 52 indexed citations

Dragas, Jelena, Vijay Viswam, Amir Shadmani, et al.. (2017). <italic>In Vitro</italic> Multi-Functional Microelectrode Array Featuring 59 760 Electrodes, 2048 Electrophysiology Channels, Stimulation, Impedance Measurement, and Neurotransmitter Detection Channels. IEEE Journal of Solid-State Circuits. 52(6). 1576–1590. 157 indexed citations

Radivojević, Miloš, Felix Franke, Michael Altermatt, et al.. (2017). Tracking individual action potentials throughout mammalian axonal arbors. eLife. 6. 43 indexed citations

Lewandowska, Marta, Miloš Radivojević, David Jäckel, Jan Müller, & Andreas Hierlemann. (2016). Cortical Axons, Isolated in Channels, Display Activity-Dependent Signal Modulation as a Result of Targeted Stimulation. Frontiers in Neuroscience. 10. 83–83. 13 indexed citations

Viswam, Vijay, Jelena Dragas, Amir Shadmani, et al.. (2016). 22.8 Multi-functional microelectrode array system featuring 59,760 electrodes, 2048 electrophysiology channels, impedance and neurotransmitter measurement units. PubMed. 2016. 394–396. 32 indexed citations

10.

Viswam, Vijay, Amir Shadmani, Jelena Dragas, et al.. (2016). High-density CMOS microelectrode array system for impedance spectroscopy and imaging of biological cells. PubMed. 2016. 1–3. 25 indexed citations

11.

Radivojević, Miloš, David Jäckel, Michael Altermatt, et al.. (2016). Electrical Identification and Selective Microstimulation of Neuronal Compartments Based on Features of Extracellular Action Potentials. Scientific Reports. 6(1). 31332–31332. 42 indexed citations

12.

Radivojević, Miloš, et al.. (2016). Electrical Identification and Selective Microstimulation of Neuronal Compartments Based on Features of Extracellular Action Potentials. Frontiers in Neuroscience. 10. 1 indexed citations

13.

Hierlemann, Andreas, Jan Müller, Douglas J. Bakkum, & Felix Franke. (2015). Highly integrated CMOS microsystems to interface with neurons at subcellular resolution. PubMed. 6. 13.2.1–13.2.4. 2 indexed citations

14.

Jones, Ian L., Tom Russell, Karl Farrow, et al.. (2015). A method for electrophysiological characterization of hamster retinal ganglion cells using a high-density CMOS microelectrode array. Frontiers in Neuroscience. 9. 360–360. 11 indexed citations

15.

Yonehara, Keisuke, Michele Fiscella, Antonia Drinnenberg, et al.. (2015). Congenital Nystagmus Gene FRMD7 Is Necessary for Establishing a Neuronal Circuit Asymmetry for Direction Selectivity. Neuron. 89(1). 177–193. 99 indexed citations

16.

Ballini, Marco, Jan Müller, Paolo Livi, et al.. (2014). A 1024-Channel CMOS Microelectrode Array With 26,400 Electrodes for Recording and Stimulation of Electrogenic Cells In Vitro. IEEE Journal of Solid-State Circuits. 49(11). 2705–2719. 176 indexed citations

17.

Bakkum, Douglas J., Urs Frey, Miloš Radivojević, et al.. (2013). Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites. Nature Communications. 4(1). 2181–2181. 187 indexed citations

18.

Müller, Jan, Douglas J. Bakkum, & Andreas Hierlemann. (2013). Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons. Frontiers in Neural Circuits. 6. 121–121. 48 indexed citations

19.

Fiscella, Michele, Karl Farrow, Ian L. Jones, et al.. (2012). Recording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection. Journal of Neuroscience Methods. 211(1). 103–113. 42 indexed citations

20.

Franke, Felix, David Jäckel, Jelena Dragas, et al.. (2012). High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity. Frontiers in Neural Circuits. 6. 105–105. 81 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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