Kiyohide Usami

669 total citations
38 papers, 411 citations indexed

About

Kiyohide Usami is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kiyohide Usami has authored 38 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 13 papers in Psychiatry and Mental health and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kiyohide Usami's work include EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (11 papers) and Epilepsy research and treatment (11 papers). Kiyohide Usami is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (11 papers) and Epilepsy research and treatment (11 papers). Kiyohide Usami collaborates with scholars based in Japan, United States and Germany. Kiyohide Usami's co-authors include Akio Ikeda, Riki Matsumoto, Susumu Miyamoto, Takeharu Kunieda, Hidenao Fukuyama, Takayuki Kikuchi, Katsuya Kobayashi, Ryōsuke Takahashi, Nobuhiro Mikuni and Akihiro Shimotake and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Kiyohide Usami

30 papers receiving 409 citations

Peers

Kiyohide Usami
Nathan Hebel United States
Philip S. Lee United States
Hirotomo Ninomiya Japan
Elaine T Kiriakopoulos United States
Siew Hoon Lim Singapore
Akihiro Shimotake Japan
Piergiorgio d’Orio Italy
Seth S. Joseffer United States
Yaara Erez United Kingdom
Ganesh Vigneswaran United Kingdom
Nathan Hebel United States
Kiyohide Usami
Citations per year, relative to Kiyohide Usami Kiyohide Usami (= 1×) peers Nathan Hebel

Countries citing papers authored by Kiyohide Usami

Since Specialization
Citations

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

Fields of papers citing papers by Kiyohide Usami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyohide Usami

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyohide Usami. A scholar is included among the top collaborators of Kiyohide Usami 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 Kiyohide Usami. Kiyohide Usami 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.
Matsumoto, Riki, Kiyohide Usami, Atsushi Shima, et al.. (2025). Late‐onset temporal lobe epilepsy: Enlarged amygdala‐hippocampus indicates interictal epileptic activity at electroencephalography and memory impairment. Epileptic Disorders. 27(5). 927–940.
2.
Matsumoto, Riki, Akihiro Shimotake, Katsuya Kobayashi, et al.. (2025). Role of the premotor and the precentral negative motor area in praxis: A direct electrical stimulation study with behavioral analysis. Clinical Neurophysiology. 173. 66–75.
3.
Hosokawa, Kyoko, Kiyohide Usami, Daisuke Danno, et al.. (2024). Novel and reappraised wide-band EEG findings in migraineurs: Its correlation with several clinical variables. Clinical Neurophysiology. 166. 166–175.
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.
Fukuda, Mitsumasa, et al.. (2023). Focal tonic seizures with asymmetrical posturing could allow voluntary movements: A lesson to not be misled for a non‐epileptic event. Epileptic Disorders. 25(3). 416–421. 1 indexed citations
6.
Kobayashi, Katsuya, Takefumi Hitomi, Makoto Sainouchi, et al.. (2023). A super‐elderly autopsy case of benign adult familial myoclonus epilepsy with a heterozygous mutation. Epileptic Disorders. 25(1). 110–113.
7.
Matsumoto, Riki, Kiyohide Usami, Katsuya Kobayashi, et al.. (2022). Distinct connectivity patterns in human medial parietal cortices: Evidence from standardized connectivity map using cortico-cortical evoked potential. NeuroImage. 263. 119639–119639. 6 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.
Gao, Jing‐Wei, Tomotsugu Seki, Kiyohide Usami, et al.. (2022). Complications associated with the use of enzyme-inducing and non-enzyme-inducing anti-seizure medications in the Japanese population: A retrospective cohort study. Epilepsy & Behavior. 129. 108610–108610. 4 indexed citations
10.
Usami, Kiyohide, Yukihiro Yamao, Nan Liang, et al.. (2022). Correlation between brain functional connectivity and neurocognitive function in patients with left frontal glioma. Scientific Reports. 12(1). 18302–18302. 9 indexed citations
11.
Hitomi, Takefumi, Masao Matsuhashi, Shuichiro Neshige, et al.. (2021). A Biomarker for Benign Adult Familial Myoclonus Epilepsy: High‐Frequency Activities in Giant Somatosensory Evoked Potentials. Movement Disorders. 36(10). 2335–2345. 10 indexed citations
12.
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
13.
Inoue, Takeshi, Katsuya Kobayashi, Riki Matsumoto, et al.. (2020). Engagement of cortico-cortical and cortico-subcortical networks in a patient with epileptic spasms: An integrated neurophysiological study. Clinical Neurophysiology. 131(9). 2255–2264. 10 indexed citations
14.
Matsuhashi, Masao, Riki Matsumoto, Kiyohide Usami, et al.. (2018). Do scalp-recorded slow potentials during neuro-feedback training reflect the cortical activity?. Clinical Neurophysiology. 129(9). 1884–1890. 3 indexed citations
15.
Usami, Kiyohide, Riki Matsumoto, Katsuya Kobayashi, et al.. (2017). Phasic REM Transiently Approaches Wakefulness in the Human Cortex—A Single-Pulse Electrical Stimulation Study. SLEEP. 40(8). 11 indexed citations
16.
Kobayashi, Katsuya, Riki Matsumoto, Masao Matsuhashi, et al.. (2017). High frequency activity overriding cortico-cortical evoked potentials reflects altered excitability in the human epileptic focus. Clinical Neurophysiology. 128(9). 1673–1681. 23 indexed citations
17.
Usami, Kiyohide, Riki Matsumoto, Nobukatsu Sawamoto, et al.. (2016). Epileptic network of hypothalamic hamartoma: An EEG-fMRI study. Epilepsy Research. 125. 1–9. 20 indexed citations
18.
Fujiwara, Yusuke, Riki Matsumoto, Kiyohide Usami, et al.. (2016). Neural pattern similarity between contra- and ipsilateral movements in high-frequency band of human electrocorticograms. NeuroImage. 147. 302–313. 15 indexed citations
19.
20.
Ino, Tadashi, et al.. (2008). An fMRI Study of Word Reading and Colour Recognition in Different Quadrant Fields. PubMed. 2(1). 56–64. 3 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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