Eiichi Naito

6.4k total citations · 1 hit paper
102 papers, 4.7k citations indexed

About

Eiichi Naito is a scholar working on Cognitive Neuroscience, Social Psychology and Neurology. According to data from OpenAlex, Eiichi Naito has authored 102 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cognitive Neuroscience, 38 papers in Social Psychology and 24 papers in Neurology. Recurrent topics in Eiichi Naito's work include Motor Control and Adaptation (51 papers), Action Observation and Synchronization (37 papers) and EEG and Brain-Computer Interfaces (16 papers). Eiichi Naito is often cited by papers focused on Motor Control and Adaptation (51 papers), Action Observation and Synchronization (37 papers) and EEG and Brain-Computer Interfaces (16 papers). Eiichi Naito collaborates with scholars based in Japan, Sweden and United Kingdom. Eiichi Naito's co-authors include H. Henrik Ehrsson, Stefan Geyer, Michikazu Matsumura, Per E. Roland, Norihiro Sadato, Karl Zilles, Takanori Kochiyama, Tomonori Kito, Tomoyo Morita and Satoshi Hirose and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Eiichi Naito

99 papers receiving 4.6k citations

Hit Papers

Consensus Paper: Roles of the Cerebellum in Motor Control... 2011 2026 2016 2021 2011 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
Eiichi Naito Japan 32 3.5k 1.4k 905 591 558 102 4.7k
Hiroshi Imamizu Japan 35 4.1k 1.2× 1.6k 1.2× 1.1k 1.2× 974 1.6× 417 0.7× 93 5.2k
Ulrike Halsband Germany 37 3.2k 0.9× 858 0.6× 449 0.5× 357 0.6× 669 1.2× 68 4.2k
Edwin M. Robertson United States 33 4.2k 1.2× 659 0.5× 1.3k 1.5× 513 0.9× 595 1.1× 70 5.0k
Katsuyuki Sakai Japan 35 5.3k 1.5× 1.1k 0.8× 1.3k 1.5× 638 1.1× 518 0.9× 53 6.4k
Marie‐Pierre Deiber Switzerland 37 5.6k 1.6× 1.0k 0.8× 1.3k 1.4× 517 0.9× 441 0.8× 66 7.2k
Michel Desmurget France 41 6.2k 1.8× 1.8k 1.3× 894 1.0× 1.6k 2.7× 555 1.0× 75 7.5k
Hugo Théoret Canada 45 3.9k 1.1× 863 0.6× 2.5k 2.7× 394 0.7× 504 0.9× 124 6.7k
Stephen R. Jackson United Kingdom 44 3.9k 1.1× 615 0.4× 697 0.8× 325 0.5× 546 1.0× 122 5.2k
Michel Rijntjes Germany 37 3.9k 1.1× 1.1k 0.8× 1.1k 1.2× 300 0.5× 951 1.7× 111 6.1k
Deborah L. Harrington United States 48 6.1k 1.8× 1.2k 0.9× 746 0.8× 443 0.7× 481 0.9× 96 8.0k

Countries citing papers authored by Eiichi Naito

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichi Naito

This figure shows the co-authorship network connecting the top 25 collaborators of Eiichi Naito. A scholar is included among the top collaborators of Eiichi Naito 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 Eiichi Naito. Eiichi Naito 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.
Morita, Tomoyo, et al.. (2024). Structural and functional features characterizing the brains of individuals with higher controllability of motor imagery. Scientific Reports. 14(1). 17243–17243. 2 indexed citations
4.
Morita, Tomoyo, Hiromasa Takemura, & Eiichi Naito. (2023). Functional and Structural Properties of Interhemispheric Interaction between Bilateral Precentral Hand Motor Regions in a Top Wheelchair Racing Paralympian. Brain Sciences. 13(5). 715–715. 2 indexed citations
5.
Morita, Tomoyo & Eiichi Naito. (2022). Facilitation of Hand Proprioceptive Processing in Paraplegic Individuals with Long-Term Wheelchair Sports Training. Brain Sciences. 12(10). 1295–1295. 2 indexed citations
6.
Morita, Tomoyo, Minoru Asada, & Eiichi Naito. (2021). Examination of the development and aging of brain deactivation using a unimanual motor task. Advanced Robotics. 35(13-14). 842–857. 10 indexed citations
7.
Morita, Tomoyo, Minoru Asada, & Eiichi Naito. (2021). Gray-Matter Expansion of Social Brain Networks in Individuals High in Public Self-Consciousness. Brain Sciences. 11(3). 374–374. 9 indexed citations
8.
Amemiya, Kaoru, et al.. (2020). Neurological and behavioral features of locomotor imagery in the blind. Brain Imaging and Behavior. 15(2). 656–676. 10 indexed citations
9.
Amemiya, Kaoru, Tomoyo Morita, Daisuke N. Saito, et al.. (2019). Local-to-distant development of the cerebrocerebellar sensorimotor network in the typically developing human brain: a functional and diffusion MRI study. Brain Structure and Function. 224(3). 1359–1375. 10 indexed citations
10.
Morita, Tomoyo, Minoru Asada, & Eiichi Naito. (2019). Developmental Changes in Task‐Induced Brain Deactivation in Humans Revealed by a Motor Task. Developmental Neurobiology. 79(6). 536–558. 12 indexed citations
11.
Mizuguchi, Nobuaki, Shintaro Uehara, Satoshi Hirose, Shinji Yamamoto, & Eiichi Naito. (2016). Neuronal Substrates Underlying Performance Variability in Well-Trained Skillful Motor Task in Humans. Neural Plasticity. 2016. 1–9. 7 indexed citations
12.
Suzuki, Yusuke & Eiichi Naito. (2012). Neuro-Modulation in Dorsal Premotor Cortex Facilitates Human Multi-Task Ability. Journal of Behavioral and Brain Science. 2(3). 372–379. 3 indexed citations
13.
Uehara, Shintaro, Isao Nambu, Michikazu Matsumura, Shinji Kakei, & Eiichi Naito. (2012). Prior Somatic Stimulation Improves Performance of Acquired Motor Skill by Facilitating Functional Connectivity in Cortico-Subcortical Motor Circuits. Journal of Behavioral and Brain Science. 2(3). 343–356. 6 indexed citations
14.
Manto, Mario, James M. Bower, Adriana Bastos Conforto, et al.. (2011). Consensus Paper: Roles of the Cerebellum in Motor Control—The Diversity of Ideas on Cerebellar Involvement in Movement. The Cerebellum. 11(2). 457–487. 664 indexed citations breakdown →
15.
Uehara, Shintaro, Isao Nambu, Saeka Tomatsu, et al.. (2011). Improving Human Plateaued Motor Skill with Somatic Stimulation. PLoS ONE. 6(10). e25670–e25670. 9 indexed citations
16.
Hagura, Nobuhiro, Yutaka Oouchida, Yu Aramaki, et al.. (2008). Visuokinesthetic Perception of Hand Movement is Mediated by Cerebro–Cerebellar Interaction between the Left Cerebellum and Right Parietal Cortex. Cerebral Cortex. 19(1). 176–186. 75 indexed citations
17.
Hagura, Nobuhiro, Tomohiko Takei, Satoshi Hirose, et al.. (2007). Activity in the Posterior Parietal Cortex Mediates Visual Dominance over Kinesthesia. Journal of Neuroscience. 27(26). 7047–7053. 79 indexed citations
18.
Kitada, Ryo, Eiichi Naito, & Masahide Matsumura. (2002). Perceptual changes in illusory wrist flexion angles resulting from motor imagery of the same wrist movements. Neuroscience. 109(4). 701–707. 16 indexed citations
19.
Bodegård, Anna, Anders Ledberg, Stefan Geyer, et al.. (2000). Object shape differences reflected by somatosensory cortical activation in human. Journal of Neuroscience. 20. 13 indexed citations
20.
Nomura, Hiroyoshi, Eiichi Naito, Noboru Wakami, & Kazuyuki Aihara. (1993). Chaotic Behavior of 2-Link Nozzle in a Dishwasher ( Invited Paper ). International Symposium on Circuits and Systems. 276–281. 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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