Takayuki Kikuchi

3.3k total citations
168 papers, 2.1k citations indexed

About

Takayuki Kikuchi is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Takayuki Kikuchi has authored 168 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Neurology, 49 papers in Cognitive Neuroscience and 47 papers in Psychiatry and Mental health. Recurrent topics in Takayuki Kikuchi's work include Intracranial Aneurysms: Treatment and Complications (43 papers), EEG and Brain-Computer Interfaces (32 papers) and Moyamoya disease diagnosis and treatment (28 papers). Takayuki Kikuchi is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (43 papers), EEG and Brain-Computer Interfaces (32 papers) and Moyamoya disease diagnosis and treatment (28 papers). Takayuki Kikuchi collaborates with scholars based in Japan, United States and United Kingdom. Takayuki Kikuchi's co-authors include Susumu Miyamoto, Takeharu Kunieda, Riki Matsumoto, Kazumichi Yoshida, Yasushi Takagi, Akio Ikeda, Takeshi Funaki, Jun Takahashi, Yukihiro Yamao and Hidenao Fukuyama and has published in prestigious journals such as PLoS ONE, NeuroImage and Stroke.

In The Last Decade

Takayuki Kikuchi

145 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takayuki Kikuchi Japan 25 746 744 609 482 330 168 2.1k
Taketoshi Maehara Japan 27 595 0.8× 497 0.7× 961 1.6× 352 0.7× 380 1.2× 179 2.5k
Shunji Mugikura Japan 34 457 0.6× 1.5k 2.0× 1.0k 1.7× 1.2k 2.4× 885 2.7× 144 3.7k
W. Reith Germany 30 995 1.3× 1.4k 1.8× 295 0.5× 182 0.4× 570 1.7× 232 3.5k
Massimo Caulo Italy 33 1.2k 1.6× 373 0.5× 509 0.8× 97 0.2× 949 2.9× 148 3.2k
Jitender Saini India 29 598 0.8× 1.5k 2.1× 448 0.7× 147 0.3× 995 3.0× 305 3.3k
Toshimitsu Momose Japan 31 583 0.8× 495 0.7× 327 0.5× 200 0.4× 888 2.7× 144 3.1k
Gianna Carla Riccitelli Italy 33 534 0.7× 703 0.9× 377 0.6× 352 0.7× 720 2.2× 71 2.9k
Chengyuan Wu United States 26 781 1.0× 837 1.1× 788 1.3× 63 0.1× 278 0.8× 125 2.2k
Roland R. Lee United States 37 1.7k 2.2× 1.1k 1.4× 600 1.0× 149 0.3× 705 2.1× 114 4.2k
Mirco Cosottini Italy 41 487 0.7× 1.8k 2.5× 440 0.7× 179 0.4× 1.3k 3.9× 184 4.4k

Countries citing papers authored by Takayuki Kikuchi

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Kikuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Kikuchi

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Kikuchi. A scholar is included among the top collaborators of Takayuki Kikuchi 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 Takayuki Kikuchi. Takayuki Kikuchi 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.
Funaki, Takeshi, Keita Ueda, Yasutaka Fushimi, et al.. (2025). Lower prefrontal blood flow associated with intraindividual weakness in successive processing: a neurocognitive study of pediatric moyamoya disease. Journal of Neurosurgery Pediatrics. 35(6). 581–590.
3.
Sawada, Masahiro, Etsuko Hattori, Shigeki Takada, et al.. (2025). Diffuse midline glioma H3K27-altered with thoracic epidural metastasis: illustrative case. Journal of Neurosurgery Case Lessons. 10(2).
4.
Shimotake, Akihiro, Shuichiro Neshige, Tadashi Okada, et al.. (2024). Specific consistency score for rational selection of epilepsy resection surgery candidates. Epilepsia. 65(5). 1322–1332.
5.
Ishii, Akira, Yasutaka Fushimi, John Grinstead, et al.. (2024). Efficacy of high-resolution vessel wall MRI in the postoperative assessment of intracranial aneurysms following flow diversion treatment. Journal of neurosurgery. 142(1). 1–10. 1 indexed citations
6.
Funaki, Takeshi, et al.. (2024). RNF213 Mutation Associated with the Progression from Middle Cerebral Artery Steno-Occlusive Disease to Moyamoya Disease. Translational Stroke Research. 16(4). 1146–1155. 3 indexed citations
8.
Usami, Kiyohide, Riki Matsumoto, Anna Korzeniewska, et al.. (2022). The dynamics of cortical interactions in visual recognition of object category: living versus nonliving. Cerebral Cortex. 33(9). 5740–5750.
9.
Funaki, Takeshi, Hiroharu Kataoka, Jun Takahashi, et al.. (2022). Larger Posterior Revascularization Associated with Reduction of Choroidal Anastomosis in Moyamoya Disease: A Quantitative Angiographic Analysis. American Journal of Neuroradiology. 43(9). 1279–1285. 7 indexed citations
10.
Rogers, Timothy T., Christopher R. Cox, Qihong Lu, et al.. (2021). Evidence for a deep, distributed and dynamic code for animacy in human ventral anterior temporal cortex. eLife. 10. 22 indexed citations
11.
Kobayashi, Katsuya, Riki Matsumoto, Kiyohide Usami, et al.. (2021). Cortico-cortical evoked potential by single-pulse electrical stimulation is a generally safe procedure. Clinical Neurophysiology. 132(5). 1033–1040. 8 indexed citations
12.
Funaki, Takeshi, Yasutaka Fushimi, Masakazu Okawa, et al.. (2020). Cortical Distribution of Fragile Periventricular Anastomotic Collateral Vessels in Moyamoya Disease: An Exploratory Cross-Sectional Study of Japanese Patients with Moyamoya Disease. American Journal of Neuroradiology. 41(12). 2243–2249. 10 indexed citations
13.
Matsumoto, Riki, Takeharu Kunieda, Yoshiki Arakawa, et al.. (2020). Connectivity Gradient in the Human Left Inferior Frontal Gyrus: Intraoperative Cortico-Cortical Evoked Potential Study. Cerebral Cortex. 30(8). 4633–4650. 31 indexed citations
14.
Komatsu, Katsuya, Yasushi Takagi, Akira Ishii, et al.. (2020). Changes in treatment strategy over time for arteriovenous malformation in a Japanese high-volume center. BMC Neurology. 20(1). 404–404. 4 indexed citations
15.
Neshige, Shuichiro, Katsuya Kobayashi, Masao Matsuhashi, et al.. (2019). A rational, multispectral mapping algorithm for primary motor cortex: A primary step before cortical stimulation. Epilepsia. 60(3). 547–559. 1 indexed citations
16.
Neshige, Shuichiro, Katsuya Kobayashi, Masao Matsuhashi, et al.. (2019). A score to map the lateral nonprimary motor area: Multispectrum intrinsic brain activity versus cortical stimulation. Epilepsia. 60(11). 2294–2305.
18.
Funaki, Takeshi, Yasutaka Fushimi, Takayuki Kikuchi, et al.. (2019). Identification of the Bleeding Point in Hemorrhagic Moyamoya Disease Using Fusion Images of Susceptibility-Weighted Imaging and Time-of-Flight MRA. American Journal of Neuroradiology. 40(10). 1674–1680. 12 indexed citations
19.
20.
Shimotake, Akihiro, Riki Matsumoto, Taiji Ueno, et al.. (2014). Direct Exploration of the Role of the Ventral Anterior Temporal Lobe in Semantic Memory: Cortical Stimulation and Local Field Potential Evidence From Subdural Grid Electrodes. Cerebral Cortex. 25(10). 3802–3817. 105 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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