Yosuke Takei

6.0k total citations · 2 hit papers
53 papers, 4.7k citations indexed

About

Yosuke Takei is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Yosuke Takei has authored 53 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cell Biology, 16 papers in Cellular and Molecular Neuroscience and 15 papers in Molecular Biology. Recurrent topics in Yosuke Takei's work include Microtubule and mitosis dynamics (22 papers), Neurogenesis and neuroplasticity mechanisms (14 papers) and Neuroscience and Neuropharmacology Research (13 papers). Yosuke Takei is often cited by papers focused on Microtubule and mitosis dynamics (22 papers), Neurogenesis and neuroplasticity mechanisms (14 papers) and Neuroscience and Neuropharmacology Research (13 papers). Yosuke Takei collaborates with scholars based in Japan, Saudi Arabia and United States. Yosuke Takei's co-authors include Nobutaka Hirokawa, Akihiro Harada, Junlin Teng, Yosuke Tanaka, Sumio Terada, Yoshimitsu Kanai, Mitsutoshi Setou, Atsushi Harada, Takao Nakata and Noriko Homma and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yosuke Takei

48 papers receiving 4.7k citations

Hit Papers

Altered microtubule organization in small-calibre axons o... 1994 2026 2004 2015 1994 2001 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yosuke Takei Japan 26 2.5k 2.3k 1.8k 744 570 53 4.7k
Tomoaki Shirao Japan 45 2.0k 0.8× 1.7k 0.7× 2.7k 1.5× 1.1k 1.5× 908 1.6× 135 5.4k
Joshua A. Weiner United States 38 4.7k 1.9× 1.5k 0.7× 1.9k 1.1× 573 0.8× 565 1.0× 74 6.2k
Alaa El-Husseini Canada 28 2.5k 1.0× 1.2k 0.5× 2.2k 1.2× 460 0.6× 357 0.6× 35 4.3k
Jeffery L. Twiss United States 45 4.5k 1.8× 1.1k 0.5× 3.0k 1.7× 601 0.8× 1.1k 1.9× 98 6.9k
Lorene M. Lanier United States 23 1.8k 0.7× 1.3k 0.6× 1.3k 0.7× 1.1k 1.5× 400 0.7× 37 3.7k
Zu‐Hang Sheng United States 36 3.8k 1.6× 1.6k 0.7× 2.3k 1.2× 1.2k 1.6× 586 1.0× 60 6.2k
Annie Andrieux France 39 2.7k 1.1× 2.2k 0.9× 1.0k 0.6× 425 0.6× 310 0.5× 108 4.9k
Scott H. Soderling United States 36 3.7k 1.5× 1.2k 0.5× 1.7k 0.9× 605 0.8× 516 0.9× 64 5.6k
Phillip R. Gordon‐Weeks United Kingdom 40 2.8k 1.1× 2.4k 1.0× 2.6k 1.5× 412 0.6× 863 1.5× 108 5.2k
Sarah E. Newey United Kingdom 24 2.7k 1.1× 896 0.4× 1.4k 0.7× 562 0.8× 391 0.7× 32 4.0k

Countries citing papers authored by Yosuke Takei

Since Specialization
Citations

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

Fields of papers citing papers by Yosuke Takei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yosuke Takei

This figure shows the co-authorship network connecting the top 25 collaborators of Yosuke Takei. A scholar is included among the top collaborators of Yosuke Takei 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 Yosuke Takei. Yosuke Takei 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.
Takei, Yosuke, et al.. (2025). Iatrogenic aorto-coronary dissection triggered by contrast injection during coronary evaluation with optical frequency domain imaging. Cardiovascular Intervention and Therapeutics. 40(2). 416–417. 1 indexed citations
2.
Ishii, Yuki, Masahiko Kure, Hidenaga Kawasumi, et al.. (2025). Endothelial dysfunction in plaque rupture and plaque erosion. Heart and Vessels. 41(3). 143–149.
3.
Mori, Hiroyoshi, Takahiro Tezuka, Daisuke Wada, et al.. (2024). Use of Direct Oral Anticoagulation for Isolated Distal Deep Vein Thrombosis in Japanese Orthopedic Patients. Annals of Vascular Diseases. 17(4). 371–377.
4.
Sasaki, Tetsuya, et al.. (2020). Intraventricular IL-17A administration activates microglia and alters their localization in the mouse embryo cerebral cortex. Molecular Brain. 13(1). 93–93. 26 indexed citations
5.
Mori, Hiroyoshi, et al.. (2020). Does a Drug-Coated Balloon Accelerate Neoatherosclerosis?. CJC Open. 2(4). 306–307. 1 indexed citations
6.
Tanaka, Yosuke, et al.. (2019). Kinesin Kif3b mutation reduces NMDAR subunit NR 2A trafficking and causes schizophrenia‐like phenotypes in mice. The EMBO Journal. 39(1). e101090–e101090. 42 indexed citations
8.
Takei, Yosuke, et al.. (2017). Components of RNA granules affect their localization and dynamics in neuronal dendrites. Molecular Biology of the Cell. 28(11). 1412–1417. 24 indexed citations
9.
Koshida, Ryusuke, Hisashi Oishi, Michito Hamada, Yosuke Takei, & Satoru Takahashi. (2016). MafB is required for development of the hindbrain choroid plexus. Biochemical and Biophysical Research Communications. 483(1). 288–293. 5 indexed citations
11.
Takei, Yosuke, Yayoi S. Kikkawa, Nafiseh Atapour, Takao K. Hensch, & Nobutaka Hirokawa. (2015). Defects in Synaptic Plasticity, Reduced NMDA-Receptor Transport, and Instability of Postsynaptic Density Proteins in Mice Lacking Microtubule-Associated Protein 1A. Journal of Neuroscience. 35(47). 15539–15554. 33 indexed citations
12.
Kondo, Makoto, Yosuke Takei, & Nobutaka Hirokawa. (2012). Motor Protein KIF1A Is Essential for Hippocampal Synaptogenesis and Learning Enhancement in an Enriched Environment. Neuron. 73(4). 743–757. 108 indexed citations
13.
Yin, Xiling, Feng Xue, Yosuke Takei, & Nobutaka Hirokawa. (2012). Regulation of NMDA Receptor Transport: A KIF17–Cargo Binding/Releasing Underlies Synaptic Plasticity and MemoryIn Vivo. Journal of Neuroscience. 32(16). 5486–5499. 49 indexed citations
14.
Nakajima, Kazuo, et al.. (2012). Molecular Motor KIF5A Is Essential for GABAA Receptor Transport, and KIF5A Deletion Causes Epilepsy. Neuron. 76(5). 945–961. 126 indexed citations
15.
Terada, Sumio, Masataka Kinjo, Makoto Aihara, Yosuke Takei, & Nobutaka Hirokawa. (2011). Kinesin-1/Hsc70-Dependent Mechanism of Slow Axonal Transport and its Relation to Fast Axonal Transport. Biophysical Journal. 100(3). 354a–354a. 1 indexed citations
16.
Yin, Xiling, Yosuke Takei, Mizuho A. Kido, & Nobutaka Hirokawa. (2011). Molecular Motor KIF17 Is Fundamental for Memory and Learning via Differential Support of Synaptic NR2A/2B Levels. Neuron. 70(2). 310–325. 116 indexed citations
17.
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
18.
Setou, Mitsutoshi, Yosuke Tanaka, Yoshimitsu Kanai, et al.. (2002). Glutamate-receptor-interacting protein GRIP1 directly steers kinesin to dendrites. Nature. 417(6884). 83–87. 408 indexed citations
19.
Zhao, Chunjie, Junko Takita, Yosuke Tanaka, et al.. (2001). Charcot-Marie-Tooth Disease Type 2A Caused by Mutation in a Microtubule Motor KIF1Bβ. Cell. 105(5). 587–597. 565 indexed citations breakdown →
20.

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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