Kana Takaura

633 total citations
13 papers, 397 citations indexed

About

Kana Takaura is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Pathology and Forensic Medicine. According to data from OpenAlex, Kana Takaura has authored 13 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Kana Takaura's work include Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (6 papers) and Neuroscience and Music Perception (4 papers). Kana Takaura is often cited by papers focused on Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (6 papers) and Neuroscience and Music Perception (4 papers). Kana Takaura collaborates with scholars based in Japan, United States and China. Kana Takaura's co-authors include Naotaka Fujii, Masatoshi Yoshida, Tadashi Isa, Zenas C. Chao, Liping Wang, Stanislas Dehaene, Takuro Ikeda, Rikako Kato, Misako Komatsu and Douglas P. Munoz and has published in prestigious journals such as Neuron, Journal of Neuroscience and NeuroImage.

In The Last Decade

Kana Takaura

13 papers receiving 392 citations

Peers

Kana Takaura
Puiu F. Balan United States
BA Wandell United States
Yin Yan China
Maria Lev Israel
Shih-Pi Ku Germany
Kana Takaura
Citations per year, relative to Kana Takaura Kana Takaura (= 1×) peers Adam N. Phillips

Countries citing papers authored by Kana Takaura

Since Specialization
Citations

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

Fields of papers citing papers by Kana Takaura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kana Takaura

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

All Works

13 of 13 papers shown
1.
Hattori, Masaya, Diego Novick, Kana Takaura, et al.. (2021). A systematic literature review of prognostic factors in patients with HR+/HER2− advanced breast cancer in Japan. Japanese Journal of Clinical Oncology. 51(10). 1498–1508. 4 indexed citations
2.
Chao, Zenas C., Kana Takaura, Liping Wang, Naotaka Fujii, & Stanislas Dehaene. (2018). Large-Scale Cortical Networks for Hierarchical Prediction and Prediction Error in the Primate Brain. Neuron. 100(5). 1252–1266.e3. 133 indexed citations
3.
Chao, Zenas C., Kana Takaura, Liping Wang, Naotaka Fujii, & Stanislas Dehaene. (2018). Large-Scale Cortical Networks for Hierarchical Prediction and Prediction Error in the Primate Brain. SSRN Electronic Journal. 6 indexed citations
4.
Komatsu, Misako, Kana Takaura, & Naotaka Fujii. (2015). Mismatch negativity in common marmosets: Whole-cortical recordings with multi-channel electrocorticograms. Scientific Reports. 5(1). 15006–15006. 33 indexed citations
5.
Takaura, Kana, Naotsugu Tsuchiya, & Naotaka Fujii. (2015). Frequency-dependent spatiotemporal profiles of visual responses recorded with subdural ECoG electrodes in awake monkeys: Differences between high- and low-frequency activity. NeuroImage. 124(Pt A). 557–572. 14 indexed citations
7.
Yoshida, Masatoshi, Laurent Itti, Takuro Ikeda, et al.. (2012). Residual Attention Guidance in Blindsight Monkeys Watching Complex Natural Scenes. Current Biology. 22(15). 1429–1434. 47 indexed citations
8.
Takaura, Kana, Masatoshi Yoshida, & Tadashi Isa. (2011). Neural Substrate of Spatial Memory in the Superior Colliculus after Damage to the Primary Visual Cortex. Journal of Neuroscience. 31(11). 4233–4241. 29 indexed citations
9.
Kato, Rikako, Kana Takaura, Takuro Ikeda, Masatoshi Yoshida, & Tadashi Isa. (2011). Contribution of the retino‐tectal pathway to visually guided saccades after lesion of the primary visual cortex in monkeys. European Journal of Neuroscience. 33(11). 1952–1960. 53 indexed citations
10.
Itti, L., David Van Den Berg, Takuro Ikeda, et al.. (2010). Visually guided eye movements based on color saliency in monkeys with unilateral lesion of primary visual cortex. Neuroscience Research. 68. e100–e100. 3 indexed citations
11.
Itti, Laurent, Masatoshi Yoshida, Takuro Ikeda, et al.. (2009). Saliency-based guidance of eye movements in monkeys with unilateral lesion of primary visual cortex. Neuroscience Research. 65. S51–S51. 1 indexed citations
12.
Yoshida, Masatoshi, Kana Takaura, Rikako Kato, Takuro Ikeda, & Tadashi Isa. (2008). Striate Cortical Lesions Affect Deliberate Decision and Control of Saccade: Implication for Blindsight. Journal of Neuroscience. 28(42). 10517–10530. 45 indexed citations
13.
Okazaki, Shuntaro, et al.. (2006). Change detection and difference detection of tone duration discrimination. Neuroreport. 17(4). 395–399. 13 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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