Etsuko Kushiya

5.1k total citations · 3 hit papers
28 papers, 4.4k citations indexed

About

Etsuko Kushiya is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Etsuko Kushiya has authored 28 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Etsuko Kushiya's work include Neuroscience and Neuropharmacology Research (15 papers), Ion channel regulation and function (13 papers) and S100 Proteins and Annexins (7 papers). Etsuko Kushiya is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Ion channel regulation and function (13 papers) and S100 Proteins and Annexins (7 papers). Etsuko Kushiya collaborates with scholars based in Japan and United States. Etsuko Kushiya's co-authors include Kenji Sakimura, Tatsuya Kutsuwada, Hiroyuki Meguro, Masaaki Arakawa, Masayoshi Mishina, Masayoshi Mishina, Toshiro Kumanishi, Chitoshi Takayama, Kazuaki Araki and Masaki Hisashi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Etsuko Kushiya

28 papers receiving 4.3k citations

Hit Papers

Molecular diversity of the NMDA receptor channel 1992 2026 2003 2014 1992 1995 1992 250 500 750 1000

Peers

Etsuko Kushiya
Beat H. Gähwiler Switzerland
Georg Köhr Germany
V. A. Derkach United States
M.L. Er̀rington United Kingdom
Scott T. Wong United States
Etsuko Kushiya
Citations per year, relative to Etsuko Kushiya Etsuko Kushiya (= 1×) peers Masayoshi Mishina

Countries citing papers authored by Etsuko Kushiya

Since Specialization
Citations

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

Fields of papers citing papers by Etsuko Kushiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Etsuko Kushiya

This figure shows the co-authorship network connecting the top 25 collaborators of Etsuko Kushiya. A scholar is included among the top collaborators of Etsuko Kushiya 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 Etsuko Kushiya. Etsuko Kushiya 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.
Fukaya, Masahiro, Mika Tsujita, Maya Yamazaki, et al.. (2006). Abundant distribution of TARP γ‐8 in synaptic and extrasynaptic surface of hippocampal neurons and its major role in AMPA receptor expression on spines and dendrites. European Journal of Neuroscience. 24(8). 2177–2190. 121 indexed citations
2.
Nakagawa, Shin, Etsuko Kushiya, Miwako Yamasaki, et al.. (2000). Gq protein α subunits Gαq and Gα11 are localized at postsynaptic extra‐junctional membrane of cerebellar Purkinje cells and hippocampal pyramidal cells. European Journal of Neuroscience. 12(3). 781–792. 118 indexed citations
3.
Mori, Hisashi, Toshiya Manabe, Yasushi Satoh, et al.. (1998). Role of the Carboxy-Terminal Region of the GluRε2 Subunit in Synaptic Localization of the NMDA Receptor Channel. Neuron. 21(3). 571–580. 117 indexed citations
4.
Kutsuwada, Tatsuya, Kenji Sakimura, Toshiya Manabe, et al.. (1996). Impairment of Suckling Response, Trigeminal Neuronal Pattern Formation, and Hippocampal LTD in NMDA Receptor ε2 Subunit Mutant Mice. Neuron. 16(2). 333–344. 411 indexed citations
5.
Sakimura, Kenji, Tatsuya Kutsuwada, Isao Ito, et al.. (1995). Reduced hippocampal LTP and spatial learning in mice lacking NMDA receptor ε1 subunit. Nature. 373(6510). 151–155. 709 indexed citations breakdown →
6.
Sakimura, Kenji, Etsuko Kushiya, Akihiko Ogura, et al.. (1995). Upstream and intron regulatory regions for expression of the rat neuron-specific enolase gene. Molecular Brain Research. 28(1). 19–28. 23 indexed citations
7.
Araki, Kazuo, Hiroyuki Meguro, Etsuko Kushiya, et al.. (1993). Selective Expression of the Glutamate Receptor Channel δ2 Subunit in Cerebellar Purkinje Cells. Biochemical and Biophysical Research Communications. 197(3). 1267–1276. 246 indexed citations
8.
Mishina, Masayoshi, Hisashi Mori, Kazuaki Araki, et al.. (1993). Molecular and Functional Diversity of the NMDA Receptor Channela. Annals of the New York Academy of Sciences. 707(1). 136–152. 75 indexed citations
9.
Meguro, Hiroyuki, Hisashi Mori, Etsuko Kushiya, et al.. (1992). Functional characterization of a heteromeric NMDA receptor channel expressed from cloned cDNAs. Nature. 357(6373). 70–74. 697 indexed citations breakdown →
10.
Kutsuwada, Tatsuya, Kenji Sakimura, Etsuko Kushiya, et al.. (1992). Molecular diversity of the NMDA receptor channel. Nature. 358(6381). 36–41. 1169 indexed citations breakdown →
11.
Sakimura, Kenji, Takao Morita, Etsuko Kushiya, & Masayoshi Mishina. (1992). Primary structure and expression of the γ2 subunit of the glutamate receptor channel selective for kainate. Neuron. 8(2). 267–274. 143 indexed citations
12.
Morita, Takao, Kenji Sakimura, Etsuko Kushiya, et al.. (1992). Cloning and functional expression of a cDNA encoding the mouse β2 subunit of the kainate-selective glutamate receptor channel. Molecular Brain Research. 14(1-2). 143–146. 24 indexed citations
13.
Mishina, Masayoshi, Kenji Sakimura, Hisashi Mori, et al.. (1991). A single amino acid residue determines the Ca2+ permeability of AMPA-selective glutamate receptor channels. Biochemical and Biophysical Research Communications. 180(2). 813–821. 60 indexed citations
14.
Sakimura, Kenji, Hideaki Bujo, Etsuko Kushiya, et al.. (1991). Functional expression from cloned cDNAs of glutamate receptor species responsive to kainate and quisqualate.. The Japanese Journal of Pharmacology. 55. 168–168. 2 indexed citations
15.
Sakimura, Kenji, et al.. (1990). Structure and expression of rat muscle‐specific enolase gene. FEBS Letters. 277(1-2). 78–82. 16 indexed citations
16.
Sakimura, Kenji, Hideaki Bujo, Etsuko Kushiya, et al.. (1990). Functional expression from cloned cDNAs of glutamate receptor species responsive to kainate and quisqualate. FEBS Letters. 272(1-2). 73–80. 157 indexed citations
17.
Mitsui, Hiromi, et al.. (1989). cDNA cloning and nucleotide sequence of rat muscle‐specific enolase (ββ enolase). FEBS Letters. 242(2). 425–430. 29 indexed citations
18.
Sakimura, Kenji, et al.. (1987). The structure and expression of neuron-specific enolase gene. Gene. 60(1). 103–113. 65 indexed citations
19.
Sakimura, Kenji, Etsuko Kushiya, Masuo Obinata, Shoji Odani, & Yasuo Takahashi. (1985). Molecular cloning and the nucleotide sequence of cDNA for neuron-specific enolase messenger RNA of rat brain.. Proceedings of the National Academy of Sciences. 82(21). 7453–7457. 74 indexed citations
20.
Kushiya, Etsuko, et al.. (1981). ?-Aminobutyric acid system in isolated dorsal and ventral horn neurons from bovine spinal cord. Neurochemical Research. 6(6). 659–671. 1 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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