Takuya Ito

2.4k total citations · 1 hit paper
22 papers, 1.3k citations indexed

About

Takuya Ito is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Takuya Ito has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Takuya Ito's work include Functional Brain Connectivity Studies (20 papers), Neural dynamics and brain function (15 papers) and EEG and Brain-Computer Interfaces (6 papers). Takuya Ito is often cited by papers focused on Functional Brain Connectivity Studies (20 papers), Neural dynamics and brain function (15 papers) and EEG and Brain-Computer Interfaces (6 papers). Takuya Ito collaborates with scholars based in United States, Netherlands and Germany. Takuya Ito's co-authors include Michael W. Cole, Douglas H. Schultz, Danielle S. Bassett, Ravi D. Mill, Carrisa V. Cocuzza, Todd S. Braver, Luke J. Hearne, Richard H. Chen, Kaustubh Kulkarni and Richard J. Chen and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Takuya Ito

21 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Activity flow over resting-state networks shapes cognitive task activations

2016 322 citations Michael W. Cole, Takuya Ito et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Takuya Ito United States	17	1.2k	282	227	70	52	22	1.3k
Joshua Faskowitz United States	21	1.1k 0.9×	437 1.5×	226 1.0×	100 1.4×	83 1.6×	57	1.4k
Cam‐CAN United Kingdom	11	940 0.8×	362 1.3×	166 0.7×	116 1.7×	37 0.7×	15	1.1k
Jeffrey J. Berg United States	9	1.3k 1.1×	499 1.8×	237 1.0×	80 1.1×	50 1.0×	10	1.4k
Ravi D. Mill United States	14	946 0.8×	198 0.7×	170 0.7×	50 0.7×	92 1.8×	26	1.0k
Raphaël Liégeois Switzerland	12	1.0k 0.9×	413 1.5×	219 1.0×	49 0.7×	48 0.9×	22	1.1k
Caio Seguin Australia	15	965 0.8×	520 1.8×	176 0.8×	98 1.4×	56 1.1×	33	1.3k
Maxwell A. Bertolero United States	11	980 0.8×	320 1.1×	177 0.8×	89 1.3×	112 2.2×	20	1.2k
Abigail S. Greene United States	17	1.2k 1.0×	357 1.3×	389 1.7×	151 2.2×	44 0.8×	23	1.4k
Michael Vourkas Greece	13	1.0k 0.8×	192 0.7×	174 0.8×	64 0.9×	65 1.3×	15	1.1k
Ameera X. Patel United Kingdom	13	923 0.8×	375 1.3×	203 0.9×	98 1.4×	75 1.4×	20	1.2k

Countries citing papers authored by Takuya Ito

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Ito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Ito

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

Ito, Takuya, Murray Campbell, Lior Horesh, Tim Klinger, & Parikshit Ram. (2025). Quantifying artificial intelligence through algorithmic generalization. Nature Machine Intelligence. 7(8). 1195–1205. 1 indexed citations

Cocuzza, Carrisa V., Rubén Sánchez-Romero, Takuya Ito, et al.. (2024). Distributed network flows generate localized category selectivity in human visual cortex. PLoS Computational Biology. 20(10). e1012507–e1012507. 1 indexed citations

Sánchez-Romero, Rubén, Takuya Ito, Ravi D. Mill, Stephen José Hanson, & Michael W. Cole. (2023). Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations. NeuroImage. 278. 120300–120300. 6 indexed citations

McCormick, Ethan M., et al.. (2022). Latent functional connectivity underlying multiple brain states. Network Neuroscience. 6(2). 570–590. 17 indexed citations

Ito, Takuya, Guangyu Robert Yang, Patryk A. Laurent, Douglas H. Schultz, & Michael W. Cole. (2022). Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior. Nature Communications. 13(1). 673–673. 33 indexed citations

Ito, Takuya & John D. Murray. (2022). Multitask representations in the human cortex transform along a sensory-to-motor hierarchy. Nature Neuroscience. 26(2). 306–315. 18 indexed citations

Ito, Takuya, et al.. (2022). Compositional Generalization Through Abstract Representations in Human and Artificial Neural Networks. 32225–32239.

Cole, Michael W., Takuya Ito, Carrisa V. Cocuzza, & Rubén Sánchez-Romero. (2021). The Functional Relevance of Task-State Functional Connectivity. Journal of Neuroscience. 41(12). 2684–2702. 83 indexed citations

Ito, Takuya, Scott L. Brincat, Markus Siegel, et al.. (2020). Task-evoked activity quenches neural correlations and variability across cortical areas. PLoS Computational Biology. 16(8). e1007983–e1007983. 64 indexed citations

10.

Cocuzza, Carrisa V., Takuya Ito, Douglas H. Schultz, Danielle S. Bassett, & Michael W. Cole. (2020). Flexible Coordinator and Switcher Hubs for Adaptive Task Control. Journal of Neuroscience. 40(36). 6949–6968. 56 indexed citations

11.

Spronk, Marjolein, Brian P. Keane, Takuya Ito, et al.. (2020). A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction. Cerebral Cortex. 31(1). 547–561. 23 indexed citations

12.

Ito, Takuya, Luke J. Hearne, & Michael W. Cole. (2020). A cortical hierarchy of localized and distributed processes revealed via dissociation of task activations, connectivity changes, and intrinsic timescales. NeuroImage. 221. 117141–117141. 81 indexed citations

13.

Kar, Kohitij, Takuya Ito, Michael W. Cole, & Bart Krekelberg. (2019). Transcranial alternating current stimulation attenuates BOLD adaptation and increases functional connectivity. Journal of Neurophysiology. 123(1). 428–438. 25 indexed citations

14.

Chen, Richard H., Takuya Ito, Kaustubh Kulkarni, & Michael W. Cole. (2018). The Human Brain Traverses a Common Activation-Pattern State Space Across Task and Rest. Brain Connectivity. 8(7). 429–443. 12 indexed citations

15.

Cole, Michael W., Takuya Ito, Douglas H. Schultz, et al.. (2018). Task activations produce spurious but systematic inflation of task functional connectivity estimates. NeuroImage. 189. 1–18. 137 indexed citations

16.

Ito, Takuya, Kaustubh Kulkarni, Douglas H. Schultz, et al.. (2017). Cognitive task information is transferred between brain regions via resting-state network topology. Nature Communications. 8(1). 1027–1027. 121 indexed citations

17.

Mill, Ravi D., Takuya Ito, & Michael W. Cole. (2017). From connectome to cognition: The search for mechanism in human functional brain networks. NeuroImage. 160. 124–139. 72 indexed citations

18.

Cole, Michael W., Takuya Ito, Danielle S. Bassett, & Douglas H. Schultz. (2016). Activity flow over resting-state networks shapes cognitive task activations. Nature Neuroscience. 19(12). 1718–1726. 322 indexed citations breakdown →

19.

Cole, Michael W., Takuya Ito, & Todd S. Braver. (2015). Lateral Prefrontal Cortex Contributes to Fluid Intelligence Through Multinetwork Connectivity. Brain Connectivity. 5(8). 497–504. 64 indexed citations

20.

Cole, Michael W., Takuya Ito, & Todd S. Braver. (2015). The Behavioral Relevance of Task Information in Human Prefrontal Cortex. Cerebral Cortex. 26(6). 2497–2505. 54 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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