Ryosuke Midorikawa

409 total citations
9 papers, 321 citations indexed

About

Ryosuke Midorikawa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Ryosuke Midorikawa has authored 9 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Ryosuke Midorikawa's work include Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (3 papers) and Ion channel regulation and function (2 papers). Ryosuke Midorikawa is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Cellular transport and secretion (3 papers) and Ion channel regulation and function (2 papers). Ryosuke Midorikawa collaborates with scholars based in Japan, Australia and France. Ryosuke Midorikawa's co-authors include Yosuke Takei, Nobutaka Hirokawa, Kazumasa Matsumoto, Masao Shibata, Sadao Shiosaka, Keiko Kato, Takahiko Shiosaka, Shigetaka Yoshida, Yoshiharu Momota and Miki Yamamoto‐Hino and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Ryosuke Midorikawa

9 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryosuke Midorikawa Japan 5 179 95 81 61 52 9 321
Roberto Bernardoni Italy 12 388 2.2× 164 1.7× 81 1.0× 30 0.5× 38 0.7× 24 536
Tjing‐Tjing Hu Belgium 14 253 1.4× 118 1.2× 43 0.5× 18 0.3× 36 0.7× 30 530
Sabrina A. Volpi United States 8 389 2.2× 167 1.8× 74 0.9× 33 0.5× 42 0.8× 9 667
Jonathan Nakashima United States 7 253 1.4× 70 0.7× 40 0.5× 32 0.5× 49 0.9× 11 461
Joyoti Dey United States 8 218 1.2× 53 0.6× 23 0.3× 53 0.9× 107 2.1× 16 392
Seung‐Ryul Kim South Korea 8 369 2.1× 59 0.6× 142 1.8× 28 0.5× 42 0.8× 14 550
Emily L. Spaulding United States 9 251 1.4× 162 1.7× 67 0.8× 42 0.7× 34 0.7× 11 396
Woosung Cho United States 9 275 1.5× 68 0.7× 38 0.5× 18 0.3× 56 1.1× 11 514
Douglas C. Miller United States 9 310 1.7× 48 0.5× 56 0.7× 72 1.2× 61 1.2× 14 456

Countries citing papers authored by Ryosuke Midorikawa

Since Specialization
Citations

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

Fields of papers citing papers by Ryosuke Midorikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryosuke Midorikawa

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

All Works

9 of 9 papers shown
1.
Midorikawa, Ryosuke, et al.. (2024). Aβ peptide enhances GluA1 internalization via lipid rafts in Alzheimer's-related hippocampal LTP dysfunction. Journal of Cell Science. 137(8). 1 indexed citations
2.
Midorikawa, Ryosuke, et al.. (2023). Temporal and quantitative analysis of the functional expression of Ca2+-permeable AMPA receptors during LTP. Neuroscience Research. 198. 21–29. 4 indexed citations
3.
Midorikawa, Ryosuke, et al.. (2020). Distinct Cell Surface Expression Patterns of N-Glycosylation Site Mutants of AMPA-Type Glutamate Receptor under the Homo-Oligomeric Expression Conditions. International Journal of Molecular Sciences. 21(14). 5101–5101. 1 indexed citations
5.
Midorikawa, Ryosuke, et al.. (2018). N‐glycosylation of the AMPA‐type glutamate receptor regulates cell surface expression and tetramer formation affecting channel function. Journal of Neurochemistry. 147(6). 730–747. 23 indexed citations
6.
Midorikawa, Ryosuke, et al.. (2010). Autophagy-Dependent Rhodopsin Degradation Prevents Retinal Degeneration inDrosophila. Journal of Neuroscience. 30(32). 10703–10719. 52 indexed citations
7.
Midorikawa, Ryosuke, Yosuke Takei, & Nobutaka Hirokawa. (2006). KIF4 Motor Regulates Activity-Dependent Neuronal Survival by Suppressing PARP-1 Enzymatic Activity. Cell. 125(2). 371–383. 97 indexed citations
8.
Kato, Keiko, Tadaaki Kishi, Ryosuke Midorikawa, et al.. (2001). Serine Proteinase Inhibitor 3 and Murinoglobulin I Are Potent Inhibitors of Neuropsin in Adult Mouse Brain. Journal of Biological Chemistry. 276(18). 14562–14571. 39 indexed citations
9.
Yoshida, Shigetaka, Masao Shibata, Keiko Kato, et al.. (1998). Characterization of Recombinant and Brain Neuropsin, a Plasticity-related Serine Protease. Journal of Biological Chemistry. 273(18). 11189–11196. 100 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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