Shiori Toba

1.1k total citations
19 papers, 842 citations indexed

About

Shiori Toba is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shiori Toba has authored 19 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cell Biology, 13 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shiori Toba's work include Microtubule and mitosis dynamics (17 papers), Cellular transport and secretion (9 papers) and Protist diversity and phylogeny (4 papers). Shiori Toba is often cited by papers focused on Microtubule and mitosis dynamics (17 papers), Cellular transport and secretion (9 papers) and Protist diversity and phylogeny (4 papers). Shiori Toba collaborates with scholars based in Japan, United States and Poland. Shiori Toba's co-authors include Yoko Y. Toyoshima, Tomonobu M. Watanabe, Hideo Higuchi, Shinji Hirotsune, Anthony Wynshaw‐Boris, Takuo Yasunaga, Masami Yamada, Masaki Edamatsu, Takeshi Nakamura and Masahide Kikkawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Shiori Toba

19 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiori Toba Japan 12 617 519 118 80 62 19 842
David Razafsky United States 15 677 1.1× 868 1.7× 119 1.0× 75 0.9× 61 1.0× 24 1.2k
Kari Barlan United States 9 626 1.0× 586 1.1× 103 0.9× 102 1.3× 46 0.7× 12 955
Laura Schaedel France 9 883 1.4× 807 1.6× 98 0.8× 75 0.9× 39 0.6× 12 1.3k
Jedidiah Gaetz United States 10 568 0.9× 581 1.1× 99 0.8× 112 1.4× 30 0.5× 12 846
Ronald D. Vale United States 9 914 1.5× 746 1.4× 124 1.1× 59 0.7× 62 1.0× 9 1.2k
Oliver Hoeller United Kingdom 11 600 1.0× 527 1.0× 113 1.0× 36 0.5× 25 0.4× 13 1.0k
Walter Huynh United States 11 588 1.0× 730 1.4× 90 0.8× 80 1.0× 28 0.5× 14 1.1k
Graham A. Anderson United States 5 339 0.5× 663 1.3× 131 1.1× 59 0.7× 28 0.5× 6 838
Anna S. Serpinskaya United States 14 813 1.3× 800 1.5× 308 2.6× 80 1.0× 74 1.2× 22 1.4k
Dieter R. Klopfenstein Germany 17 1.4k 2.2× 1.1k 2.2× 236 2.0× 70 0.9× 63 1.0× 22 1.9k

Countries citing papers authored by Shiori Toba

Since Specialization
Citations

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

Fields of papers citing papers by Shiori Toba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiori Toba

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

All Works

19 of 19 papers shown
1.
Toba, Shiori, Mingyue Jin, Masami Yamada, et al.. (2017). Alpha-synuclein facilitates to form short unconventional microtubules that have a unique function in the axonal transport. Scientific Reports. 7(1). 16386–16386. 25 indexed citations
2.
Jin, Mingyue, Oz Pomp, Tomoyasu Shinoda, et al.. (2017). Katanin p80, NuMA and cytoplasmic dynein cooperate to control microtubule dynamics. Scientific Reports. 7(1). 39902–39902. 33 indexed citations
3.
Toba, Shiori, et al.. (2015). Lis1 restricts the conformational changes in cytoplasmic dynein on microtubules. Microscopy. 64(6). 419–427. 3 indexed citations
4.
Toba, Shiori, Hiroyuki Iwamoto, Shinji Kamimura, & Kazuhiro Oiwa. (2015). X-Ray Fiber Diffraction Recordings from Oriented Demembranated Chlamydomonas Flagellar Axonemes. Biophysical Journal. 108(12). 2843–2853. 3 indexed citations
5.
Toba, Shiori, Yasuhisa Tamura, Masami Yamada, et al.. (2013). Post-natal treatment by a blood-brain-barrier permeable calpain inhibitor, SNJ1945 rescued defective function in lissencephaly. Scientific Reports. 3(1). 1224–1224. 18 indexed citations
6.
Yamada, Masami, Shintaro Mikuni, Yoshiyuki Arai, et al.. (2013). Rab6a releases LIS1 from a dynein idling complex and activates dynein for retrograde movement. Nature Communications. 4(1). 2033–2033. 19 indexed citations
7.
Yan, Jing, et al.. (2013). Kinesin-1 regulates dendrite microtubule polarity in Caenorhabditis elegans. eLife. 2. e00133–e00133. 89 indexed citations
8.
Nishiura, Masaya, Shiori Toba, Daisuke Takao, et al.. (2012). X-ray diffraction recording from single axonemes of eukaryotic flagella. Journal of Structural Biology. 178(3). 329–337. 3 indexed citations
9.
Sato, Makoto, et al.. (2012). Activation of Aurora-A Is Essential for Neuronal Migration via Modulation of Microtubule Organization. Journal of Neuroscience. 32(32). 11050–11066. 24 indexed citations
10.
Toba, Shiori & Shinji Hirotsune. (2012). A unique role of dynein and nud family proteins in corticogenesis. Neuropathology. 32(4). 432–439. 8 indexed citations
11.
Toba, Shiori, Laura A. Fox, Hitoshi Sakakibara, et al.. (2010). Distinct roles of 1α and 1β heavy chains of the inner arm dynein I1 ofChlamydomonasflagella. Molecular Biology of the Cell. 22(3). 342–353. 27 indexed citations
12.
Yamada, Masami, Shiori Toba, Yuko Yoshida, et al.. (2009). mNUDC is required for plus‐end‐directed transport of cytoplasmic dynein and dynactins by kinesin‐1. The EMBO Journal. 29(3). 517–531. 48 indexed citations
13.
Kojima, Hiroaki, Shiori Toba, Hitoshi Sakakibara, & Kazuhiro Oiwa. (2009). Biophysical Measurements on Axonemal Dyneins. Methods in cell biology. 92. 83–105. 2 indexed citations
14.
Yamada, Masami, Shiori Toba, Yuko Yoshida, et al.. (2008). LIS1 and NDEL1 coordinate the plus‐end‐directed transport of cytoplasmic dynein. The EMBO Journal. 27(19). 2471–2483. 144 indexed citations
15.
Edamatsu, Masaki, Shiori Toba, Keitaro Shibata, et al.. (2008). Direction and speed of microtubule movements driven by kinesin motors arranged on catchin thick filaments. Cell Motility and the Cytoskeleton. 65(10). 816–826. 4 indexed citations
16.
Toba, Shiori, et al.. (2006). Overlapping hand-over-hand mechanism of single molecular motility of cytoplasmic dynein. Proceedings of the National Academy of Sciences. 103(15). 5741–5745. 271 indexed citations
17.
Toba, Shiori & Yoko Y. Toyoshima. (2004). Dissociation of double‐headed cytoplasmic dynein into single‐headed species and its motile properties. Cell Motility and the Cytoskeleton. 58(4). 281–289. 22 indexed citations
18.
Mizuno, Naoko, Shiori Toba, Masaki Edamatsu, et al.. (2004). Dynein and kinesin share an overlapping microtubule‐binding site. The EMBO Journal. 23(13). 2459–2467. 93 indexed citations
19.
Toba, Shiori, et al.. (2004). Properties of the full‐length heavy chains of Tetrahymena ciliary outer arm dynein separated by urea treatment. Cell Motility and the Cytoskeleton. 58(1). 30–38. 6 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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