Yu Sato

2.2k total citations
95 papers, 1.7k citations indexed

About

Yu Sato is a scholar working on Cognitive Neuroscience, Neurology and Endocrine and Autonomic Systems. According to data from OpenAlex, Yu Sato has authored 95 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 36 papers in Neurology and 20 papers in Endocrine and Autonomic Systems. Recurrent topics in Yu Sato's work include Vestibular and auditory disorders (35 papers), Neural dynamics and brain function (28 papers) and Neuroscience of respiration and sleep (20 papers). Yu Sato is often cited by papers focused on Vestibular and auditory disorders (35 papers), Neural dynamics and brain function (28 papers) and Neuroscience of respiration and sleep (20 papers). Yu Sato collaborates with scholars based in Japan, China and Czechia. Yu Sato's co-authors include Tadashi Kawasaki, Katsumi Ikarashi, Ling Qin, Tohru Kawasaki, Sohei Chimoto, Toshihiro Kitama, Akira Miura, Masashi Sakai, Hideo Shojaku and Jingyu Wang and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yu Sato

89 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Sato Japan 24 876 712 430 313 272 95 1.7k
R. H. Schor United States 28 1.4k 1.6× 868 1.2× 399 0.9× 412 1.3× 170 0.6× 61 2.0k
Wolfgang O. Guldin Germany 19 891 1.0× 1.2k 1.7× 207 0.5× 226 0.7× 328 1.2× 32 1.7k
Martin Garwicz Sweden 24 1.0k 1.2× 797 1.1× 326 0.8× 177 0.6× 677 2.5× 52 1.9k
A. Grantyn France 20 678 0.8× 1.0k 1.4× 208 0.5× 134 0.4× 478 1.8× 40 1.6k
Masatoshi Yoshida Japan 27 980 1.1× 1.3k 1.9× 466 1.1× 202 0.6× 971 3.6× 98 2.7k
Vlastislav Bracha United States 23 883 1.0× 604 0.8× 216 0.5× 189 0.6× 393 1.4× 49 1.4k
P Buisseret France 25 708 0.8× 986 1.4× 206 0.5× 339 1.1× 682 2.5× 72 2.0k
I.M.L. Donaldson United Kingdom 20 699 0.8× 869 1.2× 125 0.3× 318 1.0× 284 1.0× 61 1.8k
Adonis Moschovakis Greece 29 1.2k 1.4× 1.9k 2.6× 470 1.1× 359 1.1× 704 2.6× 53 2.8k
Victor Matsuo United States 10 1.2k 1.3× 799 1.1× 191 0.4× 471 1.5× 203 0.7× 11 1.6k

Countries citing papers authored by Yu Sato

Since Specialization
Citations

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

Fields of papers citing papers by Yu Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Sato. A scholar is included among the top collaborators of Yu Sato 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 Yu Sato. Yu Sato 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.
2.
Haruma, Jun, Kenji Sugiu, Masafumi Hiramatsu, et al.. (2021). A New Method of Intracranial Aneurysm Modeling for Stereolithography Apparatus 3D Printer: The “Wall-Carving Technique” Using Digital Imaging and Communications in Medicine Data. World Neurosurgery. 159. e113–e119. 2 indexed citations
3.
Sato, Yu, et al.. (2015). Response properties of neurons in the cat’s putamen during auditory discrimination. Behavioural Brain Research. 292. 448–462. 3 indexed citations
4.
Morise, Masanori, et al.. (2014). Influence of the phase of voiced sound in source-filter speech synthesis on nerve cell responses in the auditory cortex -- A study based on nerve cell responses in the primary auditory cortex of an awake cat. IEICE technical report. Speech. 114(303). 41–46. 2 indexed citations
5.
Ma, Hanlu, et al.. (2013). Comparison of Neural Responses to Cat Meows and Human Vowels in the Anterior and Posterior Auditory Field of Awake Cats. PLoS ONE. 8(1). e52942–e52942. 12 indexed citations
6.
Wang, Jie, et al.. (2013). Response characteristics of primary auditory cortex neurons underlying perceptual asymmetry of ramped and damped sounds. Neuroscience. 256. 309–321. 13 indexed citations
7.
Qin, Ling, et al.. (2011). Neural Responses in the Primary Auditory Cortex of Freely Behaving Cats While Discriminating Fast and Slow Click-Trains. PLoS ONE. 6(10). e25895–e25895. 34 indexed citations
8.
Zhang, Xinan, et al.. (2010). Cat's behavioral sensitivity and cortical spatiotemporal responses to the sweep direction of frequency-modulated tones. Behavioural Brain Research. 217(2). 315–325. 8 indexed citations
9.
Liu, Yongchun, et al.. (2010). Neural correlates of auditory temporal-interval discrimination in cats. Behavioural Brain Research. 215(1). 28–38. 15 indexed citations
10.
Qin, Ling, et al.. (2009). Neural and Behavioral Discrimination of Sound Duration by Cats. Journal of Neuroscience. 29(50). 15650–15659. 33 indexed citations
11.
Qin, Ling, Jingyu Wang, & Yu Sato. (2008). Heterogeneous Neuronal Responses to Frequency-Modulated Tones in the Primary Auditory Cortex of Awake Cats. Journal of Neurophysiology. 100(3). 1622–1634. 18 indexed citations
12.
Qin, Ling, Jing Yu Wang, & Yu Sato. (2008). Representations of Cat Meows and Human Vowels in the Primary Auditory Cortex of Awake Cats. Journal of Neurophysiology. 99(5). 2305–2319. 24 indexed citations
13.
Qin, Ling, Sohei Chimoto, Masashi Sakai, & Yu Sato. (2004). Spectral-shape preference of primary auditory cortex neurons in awake cats. Brain Research. 1024(1-2). 167–175. 10 indexed citations
14.
Qin, Ling & Yu Sato. (2004). Suppression of auditory cortical activities in awake cats by pure tone stimuli. Neuroscience Letters. 365(3). 190–194. 10 indexed citations
15.
Chimoto, Sohei, et al.. (2002). Tonal response patterns of primary auditory cortex neurons in alert cats. Brain Research. 934(1). 34–42. 45 indexed citations
16.
Miura, Akira, Yu Sato, Yukio Watanabe, Hiroaki Fushiki, & Tadashi Kawasaki. (1993). Direction Selective Climbing Fiber Responses to Horizontal and Vertical Optokinetic Stimuli in the Cat Cerebellar Flocculus. Acta Oto-Laryngologica. 113(sup504). 17–20. 2 indexed citations
17.
Sato, Yu & Tadashi Kawasaki. (1991). Identification of the Purkinje cell/climbing fiber zone and its target neurons responsible for eye-movement control by the cerebellar flocculus. Brain Research Reviews. 16(1). 39–64. 53 indexed citations
18.
Sato, Yu & Tadashi Kawasaki. (1990). Eye Movement Evoked by Stimulation of Purkinje Cell Zones of the Cerebellar Flocculus in the Cat. 38(1). 27–35. 6 indexed citations
19.
Sato, Yu, Ken‐ichi Kanda, Katsumi Ikarashi, & Tadashi Kawasaki. (1989). Differential mossy fiber projections to the dorsal and ventral uvula in the cat. The Journal of Comparative Neurology. 279(1). 149–164. 30 indexed citations
20.
Kanda, Ken‐ichi, Yu Sato, Katsumi Ikarashi, & Tadashi Kawasaki. (1989). Zonal organization of climbing fiber projections to the uvula in the cat. The Journal of Comparative Neurology. 279(1). 138–148. 20 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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