Mototaka Suzuki

1.8k total citations
23 papers, 1.0k citations indexed

About

Mototaka Suzuki is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Mototaka Suzuki has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Control and Systems Engineering. Recurrent topics in Mototaka Suzuki's work include Neural dynamics and brain function (13 papers), Photoreceptor and optogenetics research (6 papers) and Visual perception and processing mechanisms (6 papers). Mototaka Suzuki is often cited by papers focused on Neural dynamics and brain function (13 papers), Photoreceptor and optogenetics research (6 papers) and Visual perception and processing mechanisms (6 papers). Mototaka Suzuki collaborates with scholars based in Germany, Switzerland and United States. Mototaka Suzuki's co-authors include Matthew E. Larkum, Jacqueline Gottlieb, Jaan Aru, David C. Jangraw, Christopher J. Peck, Talis Bachmann, Dario Floreano, Renate Rutiku, Jeff Oristaglio and Cyriel M. A. Pennartz and has published in prestigious journals such as Cell, Nature Communications and Journal of Neuroscience.

In The Last Decade

Mototaka Suzuki

21 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mototaka Suzuki Germany 13 898 265 65 50 50 23 1.0k
Hagar Gelbard-Sagiv Israel 10 1.4k 1.6× 436 1.6× 95 1.5× 63 1.3× 26 0.5× 12 1.5k
Anil Bollimunta United States 12 986 1.1× 264 1.0× 55 0.8× 40 0.8× 30 0.6× 12 1.1k
Amin Zandvakili United States 15 737 0.8× 293 1.1× 52 0.8× 22 0.4× 49 1.0× 30 912
Dirk Jancke Germany 18 817 0.9× 426 1.6× 36 0.6× 69 1.4× 36 0.7× 36 1.0k
Jarrod Robert Dowdall Germany 7 967 1.1× 292 1.1× 78 1.2× 42 0.8× 49 1.0× 10 1.0k
Sophie Denève France 7 526 0.6× 133 0.5× 89 1.4× 32 0.6× 35 0.7× 10 621
David C. Jangraw United States 15 825 0.9× 104 0.4× 85 1.3× 40 0.8× 32 0.6× 34 1.0k
H. Freyja Ólafsdóttir United Kingdom 11 776 0.9× 463 1.7× 49 0.8× 33 0.7× 37 0.7× 22 866
Fumi Katsuki United States 15 647 0.7× 169 0.6× 133 2.0× 53 1.1× 24 0.5× 23 856
Ingo Fründ Germany 13 1.0k 1.1× 171 0.6× 153 2.4× 81 1.6× 30 0.6× 23 1.1k

Countries citing papers authored by Mototaka Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Mototaka Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mototaka Suzuki

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

All Works

20 of 20 papers shown
1.
Araragi, Naozumi, Mototaka Suzuki, Matthew E. Larkum, et al.. (2025). Acute Optogenetic Stimulation of Serotonin Neurons Reduces Cell Proliferation in the Dentate Gyrus of Mice. ACS Chemical Neuroscience. 16(5). 781–789.
2.
Granato, Alberto, William A. Phillips, Jan M. Schulz, Mototaka Suzuki, & Matthew E. Larkum. (2024). Dysfunctions of cellular context-sensitivity in neurodevelopmental learning disabilities. Neuroscience & Biobehavioral Reviews. 161. 105688–105688. 4 indexed citations
3.
Suzuki, Mototaka, Cyriel M. A. Pennartz, & Jaan Aru. (2023). How deep is the brain? The shallow brain hypothesis. Nature reviews. Neuroscience. 24(12). 778–791. 26 indexed citations
4.
Sohn, Jaerin, Mototaka Suzuki, Mohammed Youssef, et al.. (2022). Presynaptic supervision of cortical spine dynamics in motor learning. Science Advances. 8(30). eabm0531–eabm0531. 13 indexed citations
5.
Suzuki, Mototaka, Jaan Aru, & Matthew E. Larkum. (2021). Double-μPeriscope, a tool for multilayer optical recordings, optogenetic stimulations or both. eLife. 10. 2 indexed citations
6.
Aru, Jaan, Mototaka Suzuki, & Matthew E. Larkum. (2021). Cellular Mechanisms of Conscious Processing. Trends in Cognitive Sciences. 25(12). 1096–1096. 5 indexed citations
7.
Bachmann, Talis, Mototaka Suzuki, & Jaan Aru. (2020). Dendritic integration theory: A thalamo-cortical theory of state and content of consciousness. 1(II). 28 indexed citations
8.
Aru, Jaan, Mototaka Suzuki, & Matthew E. Larkum. (2020). Cellular Mechanisms of Conscious Processing. Trends in Cognitive Sciences. 24(10). 814–825. 158 indexed citations
9.
Suzuki, Mototaka & Matthew E. Larkum. (2020). General Anesthesia Decouples Cortical Pyramidal Neurons. Cell. 180(4). 666–676.e13. 175 indexed citations
10.
Aru, Jaan, Mototaka Suzuki, Renate Rutiku, Matthew E. Larkum, & Talis Bachmann. (2019). Coupling the State and Contents of Consciousness. Frontiers in Systems Neuroscience. 13. 43–43. 89 indexed citations
11.
Suzuki, Mototaka & Matthew E. Larkum. (2017). Dendritic calcium spikes are clearly detectable at the cortical surface. Nature Communications. 8(1). 276–276. 52 indexed citations
12.
Suzuki, Mototaka & Jacqueline Gottlieb. (2012). Distinct neural mechanisms of distractor suppression in the frontal and parietal lobe. Nature Neuroscience. 16(1). 98–104. 200 indexed citations
13.
Peck, Christopher J., et al.. (2009). Reward Modulates Attention Independently of Action Value in Posterior Parietal Cortex. Journal of Neuroscience. 29(36). 11182–11191. 172 indexed citations
14.
Gottlieb, Jacqueline, Puiu F. Balan, Jeff Oristaglio, & Mototaka Suzuki. (2008). Parietal control of attentional guidance: The significance of sensory, motivational and motor factors. Neurobiology of Learning and Memory. 91(2). 121–128. 36 indexed citations
15.
Suzuki, Mototaka, et al.. (2006). Omnidirectional Active Vision for Evolutionary Car Driving. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 153–161. 3 indexed citations
16.
Suzuki, Mototaka, et al.. (2006). Dynamic perception after visually guided grasping by a human-like autonomous robot. Advanced Robotics. 20(2). 233–254. 5 indexed citations
17.
Suzuki, Mototaka & Dario Floreano. (2006). Active Vision for Neural Development and Landmark Navigation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 247–248. 3 indexed citations
18.
Suzuki, Mototaka, Dario Floreano, & Ezequiel A. Di Paolo. (2006). Constraints on body movement during visual development affect behavior of evolutionary robots. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 5. 2778–2783. 1 indexed citations
19.
Suzuki, Mototaka, Dario Floreano, & Ezequiel A. Di Paolo. (2005). The contribution of active body movement to visual development in evolutionary robots. Neural Networks. 18(5-6). 656–665. 13 indexed citations
20.
Floreano, Dario, Mototaka Suzuki, & Claudio Mattiussi. (2005). Active Vision and Receptive Field Development in Evolutionary Robots. Evolutionary Computation. 13(4). 527–544. 16 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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