Shinya Ito

4.0k total citations · 1 hit paper
52 papers, 2.7k citations indexed

About

Shinya Ito is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Shinya Ito has authored 52 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 16 papers in Cognitive Neuroscience and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Shinya Ito's work include Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (11 papers) and Glass properties and applications (9 papers). Shinya Ito is often cited by papers focused on Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (11 papers) and Glass properties and applications (9 papers). Shinya Ito collaborates with scholars based in Japan, United States and Poland. Shinya Ito's co-authors include Tadashi Kokubo, T. Yamamuro, S. Sakka, John M. Beggs, Toshiaki Kitsugi, Takuma Hayashi, Zeai Huang, A. M. Litke, David A. Feldheim and Naoki Sugimoto and has published in prestigious journals such as Physical Review Letters, Nature Communications and Journal of Neuroscience.

In The Last Decade

Shinya Ito

47 papers receiving 2.6k citations

Hit Papers

Ca, P‐rich layer formed on high‐strength bioactive glass‐... 1990 2026 2002 2014 1990 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Ito Japan 21 1.0k 784 529 509 431 52 2.7k
Carolyn Brown United States 40 540 0.5× 3.6k 4.6× 90 0.2× 232 0.5× 202 0.5× 141 5.2k
Seung Ho Han South Korea 33 628 0.6× 51 0.1× 61 0.1× 1.2k 2.3× 73 0.2× 241 3.9k
Stephan Irsen Germany 22 1.3k 1.2× 40 0.1× 182 0.3× 454 0.9× 211 0.5× 63 2.8k
Carlos Fonseca Portugal 27 781 0.7× 589 0.8× 85 0.2× 679 1.3× 521 1.2× 65 2.2k
Daniel Palanker United States 45 1.1k 1.1× 741 0.9× 26 0.0× 236 0.5× 2.8k 6.4× 231 6.6k
Keiichiro Watanabe Japan 26 336 0.3× 286 0.4× 62 0.1× 462 0.9× 222 0.5× 106 1.9k
Sheng Zhong United States 29 741 0.7× 163 0.2× 18 0.0× 1.2k 2.4× 157 0.4× 77 4.0k
Jing Xia China 29 2.3k 2.2× 762 1.0× 9 0.0× 557 1.1× 305 0.7× 101 4.4k
R. Morrell United Kingdom 24 234 0.2× 56 0.1× 58 0.1× 578 1.1× 52 0.1× 121 1.9k
Paul R. Stoddart Australia 39 2.0k 1.9× 329 0.4× 17 0.0× 924 1.8× 745 1.7× 166 4.5k

Countries citing papers authored by Shinya Ito

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Ito. A scholar is included among the top collaborators of Shinya Ito 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 Shinya Ito. Shinya Ito 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.
Mullen, Brian, et al.. (2025). Characterization of Auditory Responsive Neurons in the Mouse Superior Colliculus to White Noise and Frequency-Restricted Sounds. Journal of Neuroscience. 45(38). e0084252025–e0084252025.
2.
Ito, Shinya, Alex T. Piet, Corbett Bennett, et al.. (2024). Coordinated changes in a cortical circuit sculpt effects of novelty on neural dynamics. Cell Reports. 43(9). 114763–114763. 2 indexed citations
3.
Ito, Shinya, et al.. (2021). Nonlinear visuoauditory integration in the mouse superior colliculus. PLoS Computational Biology. 17(11). e1009181–e1009181. 9 indexed citations
4.
Ito, Shinya, et al.. (2020). Model-based detection of putative synaptic connections from spike recordings with latency and type constraints. Journal of Neurophysiology. 124(6). 1588–1604. 14 indexed citations
5.
Ito, Shinya, et al.. (2020). Spectral cues are necessary to encode azimuthal auditory space in the mouse superior colliculus. Nature Communications. 11(1). 1087–1087. 13 indexed citations
6.
Ito, Shinya & David A. Feldheim. (2018). The Mouse Superior Colliculus: An Emerging Model for Studying Circuit Formation and Function. Frontiers in Neural Circuits. 12. 10–10. 95 indexed citations
7.
Ito, Shinya, David A. Feldheim, & A. M. Litke. (2017). Segregation of Visual Response Properties in the Mouse Superior Colliculus and Their Modulation during Locomotion. Journal of Neuroscience. 37(35). 8428–8443. 50 indexed citations
8.
Timme, Nicholas M., Shinya Ito, Maxym Myroshnychenko, et al.. (2016). High-Degree Neurons Feed Cortical Computations. PLoS Computational Biology. 12(5). e1004858–e1004858. 61 indexed citations
9.
Ito, Shinya, et al.. (2016). Domoic acid disrupts the activity and connectivity of neuronal networks in organotypic brain slice cultures. NeuroToxicology. 56. 215–224. 14 indexed citations
10.
Ito, Shinya, et al.. (2016). A novel cross-frequency coupling detection method using the generalized Morse wavelets. Journal of Neuroscience Methods. 269. 61–73. 23 indexed citations
11.
Ito, Shinya, Laura Schaevitz, Jena Yamada, et al.. (2016). Corticothalamic Axons Are Essential for Retinal Ganglion Cell Axon Targeting to the Mouse Dorsal Lateral Geniculate Nucleus. Journal of Neuroscience. 36(19). 5252–5263. 34 indexed citations
12.
Nigam, Sunny, Masanori Shimono, Shinya Ito, et al.. (2016). Rich-Club Organization in Effective Connectivity among Cortical Neurons. Journal of Neuroscience. 36(3). 670–684. 110 indexed citations
13.
Grosberg, Lauren E., Paweł Hottowy, Lauren H. Jepson, et al.. (2015). Axon activation with focal epiretinal stimulation in primate retina. Investigative Ophthalmology & Visual Science. 56(7). 780–780. 1 indexed citations
14.
Timme, Nicholas M., Shinya Ito, Maxym Myroshnychenko, et al.. (2014). Multiplex Networks of Cortical and Hippocampal Neurons Revealed at Different Timescales. PLoS ONE. 9(12). e115764–e115764. 41 indexed citations
15.
Ito, Shinya, Fang-Chin Yeh, Deborah E. Gunning, et al.. (2014). Large-Scale, High-Resolution Multielectrode-Array Recording Depicts Functional Network Differences of Cortical and Hippocampal Cultures. PLoS ONE. 9(8). e105324–e105324. 48 indexed citations
16.
Timme, Nicholas M., Shinya Ito, Maxym Myroshnychenko, et al.. (2014). Multiplex networks of cortical and hippocampal neurons revealed at different timescales. BMC Neuroscience. 15(S1). e115764–e115764. 25 indexed citations
17.
Friedman, Nir, Shinya Ito, Braden A. W. Brinkman, et al.. (2012). Universal Critical Dynamics in High Resolution Neuronal Avalanche Data. DSpace@MIT (Massachusetts Institute of Technology). 8 indexed citations
18.
Ito, Shinya, et al.. (1982). DYNAMIC FATIGUE OF SODIUM-SILICATE GLASSES WITH HIGH WATER CONTENT. Le Journal de Physique Colloques. 43(C9). C9–611. 18 indexed citations
19.
Imamura, Hiroshi, et al.. (1981). Design and application of hydraulic screw-down systems for a tandem cold mill at Kakogawa works.. 58(4). 48–53. 1 indexed citations
20.
Ito, Shinya, et al.. (1975). [Studies on the assay condition of serum guanase activity using the direct colorimetric determination of ammonia (author's transl)].. PubMed. 23(9). 733–6. 1 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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