Ko Matsui

3.5k total citations
57 papers, 2.5k citations indexed

About

Ko Matsui is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Ko Matsui has authored 57 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 24 papers in Molecular Biology and 17 papers in Cognitive Neuroscience. Recurrent topics in Ko Matsui's work include Neuroscience and Neuropharmacology Research (40 papers), Photoreceptor and optogenetics research (28 papers) and Neural dynamics and brain function (10 papers). Ko Matsui is often cited by papers focused on Neuroscience and Neuropharmacology Research (40 papers), Photoreceptor and optogenetics research (28 papers) and Neural dynamics and brain function (10 papers). Ko Matsui collaborates with scholars based in Japan, United States and Germany. Ko Matsui's co-authors include Ryuichi Shigemoto, Craig E. Jahr, Yugo Fukazawa, Kenji F. Tanaka, Masao Tachibana, Takuya Sasaki, Naomi Kamasawa, Kaoru Beppu, Nobutake Hosoi and María E. Rubio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Neuron.

In The Last Decade

Ko Matsui

55 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ko Matsui Japan 27 1.7k 1.1k 695 424 194 57 2.5k
Melanie A. Woodin Canada 28 1.7k 1.0× 1.1k 1.0× 1.0k 1.5× 220 0.5× 147 0.8× 49 2.7k
Kira E. Poskanzer United States 22 1.4k 0.8× 743 0.7× 547 0.8× 462 1.1× 491 2.5× 28 2.1k
Melanie D. Mark Germany 26 1.8k 1.0× 1.4k 1.3× 420 0.6× 168 0.4× 170 0.9× 67 2.6k
Lynn E. Dobrunz United States 26 1.9k 1.1× 1.1k 1.0× 1.1k 1.5× 225 0.5× 312 1.6× 50 2.8k
Gian Michele Ratto Italy 30 1.7k 1.0× 1.6k 1.4× 570 0.8× 269 0.6× 295 1.5× 73 3.2k
Carlos D. Aizenman United States 23 1.9k 1.1× 943 0.9× 1.3k 1.8× 806 1.9× 188 1.0× 40 2.8k
Tommaso Patriarchi United States 27 1.7k 1.0× 1.4k 1.3× 736 1.1× 185 0.4× 125 0.6× 48 2.8k
Akiya Watakabe Japan 25 1.1k 0.6× 695 0.6× 775 1.1× 194 0.5× 143 0.7× 59 2.0k
Silvia Bisti Italy 35 1.4k 0.8× 1.6k 1.5× 1.0k 1.5× 426 1.0× 82 0.4× 110 3.5k
Leonard Khiroug Finland 29 1.8k 1.0× 1.8k 1.7× 400 0.6× 450 1.1× 442 2.3× 61 3.2k

Countries citing papers authored by Ko Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Ko Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ko Matsui

This figure shows the co-authorship network connecting the top 25 collaborators of Ko Matsui. A scholar is included among the top collaborators of Ko Matsui 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 Ko Matsui. Ko Matsui 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.
Ikoma, Yoko, et al.. (2024). Plastic vasomotion entrainment. eLife. 13. 4 indexed citations
2.
Fukuta, Tatsuya, et al.. (2023). One-Step Pharmaceutical Preparation of PEG-Modified Exosomes Encapsulating Anti-Cancer Drugs by a High-Pressure Homogenization Technique. Pharmaceuticals. 16(1). 108–108. 10 indexed citations
3.
Sakai, Mai, Zhiqian Yu, Masayuki Taniguchi, et al.. (2023). N-Acetylcysteine Suppresses Microglial Inflammation and Induces Mortality Dose-Dependently via Tumor Necrosis Factor-α Signaling. International Journal of Molecular Sciences. 24(4). 3798–3798. 10 indexed citations
4.
Sato, Takayuki, Takuma Sugaya, Shotaro Sasaki, et al.. (2023). Dual action of serotonin on local excitatory and inhibitory neural circuits regulating the corticotropin‐releasing factor neurons in the paraventricular nucleus of the hypothalamus. Journal of Neuroendocrinology. 35(12). 1 indexed citations
5.
Ito, Ryo, Yosuke M. Morizawa, Hiroshi Ishikane, et al.. (2023). Glial modulation of the parallel memory formation. Glia. 71(10). 2401–2417. 10 indexed citations
6.
Yu, Zhiqian, Mai Sakai, Hotaka Fukushima, et al.. (2022). Contextual fear conditioning regulates synapse-related gene transcription in mouse microglia. Brain Research Bulletin. 189. 57–68. 10 indexed citations
7.
Yu, Zhiqian, Mai Sakai, Hotaka Fukushima, et al.. (2022). Microarray dataset of gene transcription in mouse microglia and peripheral monocytes in contextual fear conditioning. Data in Brief. 46. 108862–108862. 2 indexed citations
8.
Beppu, Kaoru, Naoko Kubo, & Ko Matsui. (2021). Glial amplification of synaptic signals. The Journal of Physiology. 599(7). 2085–2102. 21 indexed citations
9.
Unekawa, Miyuki, Yutaka Tomita, Norihiro Suzuki, et al.. (2021). Differential pial and penetrating arterial responses examined by optogenetic activation of astrocytes and neurons. Journal of Cerebral Blood Flow & Metabolism. 41(10). 2676–2689. 15 indexed citations
10.
Beppu, Kaoru, Takuya Sasaki, Kenji F. Tanaka, et al.. (2014). Optogenetic Countering of Glial Acidosis Suppresses Glial Glutamate Release and Ischemic Brain Damage. Neuron. 81(2). 314–320. 153 indexed citations
11.
12.
Parajuli, Laxmi Kumar, Chikako Nakajima, Ákos Kulik, et al.. (2012). Quantitative Regional and Ultrastructural Localization of the Cav2.3 Subunit of R-type Calcium Channel in Mouse Brain. Journal of Neuroscience. 32(39). 13555–13567. 69 indexed citations
13.
Budisantoso, Timotheus, Ko Matsui, Naomi Kamasawa, Yugo Fukazawa, & Ryuichi Shigemoto. (2012). Mechanisms Underlying Signal Filtering at a Multisynapse Contact. Journal of Neuroscience. 32(7). 2357–2376. 44 indexed citations
14.
Budisantoso, Timotheus, Harumi Harada, Naomi Kamasawa, et al.. (2012). Evaluation of glutamate concentration transient in the synaptic cleft of the rat calyx of Held. The Journal of Physiology. 591(1). 219–239. 46 indexed citations
15.
Tanaka, Kenji F., Ko Matsui, Takuya Sasaki, et al.. (2012). Expanding the Repertoire of Optogenetically Targeted Cells with an Enhanced Gene Expression System. Cell Reports. 2(2). 397–406. 140 indexed citations
16.
Fukazawa, Yugo, Ko Matsui, Andrea Lőrincz, et al.. (2012). Virus‐mediated swapping of zolpidem‐insensitive with zolpidem‐sensitive GABAA receptors in cortical pyramidal cells. The Journal of Physiology. 590(7). 1517–1534. 7 indexed citations
17.
Tarusawa, Etsuko, Ko Matsui, Timotheus Budisantoso, et al.. (2009). Input-Specific Intrasynaptic Arrangements of Ionotropic Glutamate Receptors and Their Impact on Postsynaptic Responses. Journal of Neuroscience. 29(41). 12896–12908. 92 indexed citations
18.
Matsui, Ko, Atsushi Minami, Ellen Hornung, et al.. (2006). Biosynthesis of fatty acid derived aldehydes is induced upon mechanical wounding and its products show fungicidal activities in cucumber. Phytochemistry. 67(7). 649–657. 69 indexed citations
19.
Matsui, Ko & Henrique von Gersdorff. (2006). The Great Escape of Glutamate from the Depth of Presynaptic Invaginations. Neuron. 50(5). 669–671. 4 indexed citations
20.
Matsui, Ko & Craig E. Jahr. (2003). Ectopic Release of Synaptic Vesicles. Neuron. 40(6). 1173–1183. 124 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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