Yusuke Toyama

6.7k total citations · 1 hit paper
61 papers, 3.3k citations indexed

About

Yusuke Toyama is a scholar working on Cell Biology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Yusuke Toyama has authored 61 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cell Biology, 20 papers in Molecular Biology and 12 papers in Biomedical Engineering. Recurrent topics in Yusuke Toyama's work include Cellular Mechanics and Interactions (34 papers), Laser-Plasma Interactions and Diagnostics (9 papers) and 3D Printing in Biomedical Research (8 papers). Yusuke Toyama is often cited by papers focused on Cellular Mechanics and Interactions (34 papers), Laser-Plasma Interactions and Diagnostics (9 papers) and 3D Printing in Biomedical Research (8 papers). Yusuke Toyama collaborates with scholars based in Singapore, France and Japan. Yusuke Toyama's co-authors include Benoît Ladoux, Glenn S. Edwards, Daniel P. Kiehart, R. Kodama, Xomalin G. Peralta, K. Mima, M. Tampo, Murat Shagirov, Yusuke Hara and K. Krushelnick and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yusuke Toyama

59 papers receiving 3.2k citations

Hit Papers

Fast heating of ultrahigh-density plasma as a step toward... 2001 2026 2009 2017 2001 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fast heating of ultrahigh-density plasma as a step towards laser fusion ignition
    2001 665 citations Yusuke Toyama et al. profile →

Peers

Yusuke Toyama
С. А. Кузнецов Russia
Jeff Squier United States
Joachim Schulz Germany
Tatsuomi Matsuoka Japan
Emmanuel Beaurepaire France
Richard L. Kelley United States
T. Murakami Japan
Jeffrey A. Squier United States
M. A. Wall United States
Robert Hill United States
С. А. Кузнецов Russia
Yusuke Toyama
Citations per year, relative to Yusuke Toyama Yusuke Toyama (= 1×) peers С. А. Кузнецов

Countries citing papers authored by Yusuke Toyama

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Toyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Toyama

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Toyama. A scholar is included among the top collaborators of Yusuke Toyama 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 Yusuke Toyama. Yusuke Toyama 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.
Wu, Zihao, et al.. (2025). Surface mechanics and compressive stress impact mammalian follicle development. Nature Communications. 16(1). 9578–9578. 1 indexed citations
2.
Barrera, Nelson P., Angélica Fierro, Yusuke Toyama, et al.. (2024). Alternative molecular mechanisms for force transmission at adherens junctions via β-catenin-vinculin interaction. Nature Communications. 15(1). 5608–5608. 5 indexed citations
3.
Gao, Yang, et al.. (2023). Golgi-dependent reactivation and regeneration of Drosophila quiescent neural stem cells. Developmental Cell. 58(19). 1933–1949.e5. 8 indexed citations
4.
Toyama, Yusuke, et al.. (2022). Interfacial friction and substrate deformation mediate long-range signal propagation in tissues. Biomechanics and Modeling in Mechanobiology. 21(5). 1511–1530. 6 indexed citations
5.
Sonam, Surabhi, Lakshmi Balasubramaniam, Shao‐Zhen Lin, et al.. (2022). Mechanical stress driven by rigidity sensing governs epithelial stability. Nature Physics. 19(1). 132–141. 38 indexed citations
6.
Balasubramaniam, Lakshmi, Amin Doostmohammadi, Thuan Beng Saw, et al.. (2021). Investigating the nature of active forces in tissues reveals how contractile cells can form extensile monolayers. Nature Materials. 20(8). 1156–1166. 101 indexed citations
7.
Le, Anh Phuong, Jean-François Rupprecht, René‐Marc Mège, et al.. (2021). Adhesion-mediated heterogeneous actin organization governs apoptotic cell extrusion. Nature Communications. 12(1). 397–397. 38 indexed citations
8.
Ladoux, Benoît, et al.. (2020). Desmosomal Junctions Govern Tissue Integrity and Actomyosin Contractility in Apoptotic Cell Extrusion. Current Biology. 30(4). 682–690.e5. 33 indexed citations
9.
Nishikawa, Masatoshi, et al.. (2019). Aurora-A Breaks Symmetry in Contractile Actomyosin Networks Independently of Its Role in Centrosome Maturation. Developmental Cell. 48(5). 631–645.e6. 37 indexed citations
10.
Chen, Tianchi, Andrew Callan-Jones, É. G. Fedorov, et al.. (2019). Large-scale curvature sensing by directional actin flow drives cellular migration mode switching. Nature Physics. 15(4). 393–402. 69 indexed citations
11.
Qin, Lei, et al.. (2017). Remodeling of adhesion and modulation of mechanical tensile forces during apoptosis in Drosophila epithelium. Mechanisms of Development. 145. S44–S45. 18 indexed citations
12.
Wang, YH, Anushya Hariharan, Yusuke Toyama, et al.. (2017). DNA damage causes rapid accumulation of phosphoinositides for ATR signaling. Nature Communications. 8(1). 2118–2118. 71 indexed citations
13.
Sun, Zijun, Christopher Amourda, Murat Shagirov, et al.. (2017). Basolateral protrusion and apical contraction cooperatively drive Drosophila germband extension. Mechanisms of Development. 145. S91–S91. 2 indexed citations
14.
Qin, Lei, et al.. (2016). Remodeling of adhesion and modulation of mechanical tensile forces during apoptosis in Drosophila epithelium. Development. 144(1). 95–105. 34 indexed citations
15.
Saw, Thuan Beng, Anh Phuong Le, Murat Shagirov, et al.. (2016). Epithelial Cell Packing Induces Distinct Modes of Cell Extrusions. Current Biology. 26(21). 2942–2950. 80 indexed citations
16.
Hara, Yusuke, Murat Shagirov, & Yusuke Toyama. (2016). Cell Boundary Elongation by Non-autonomous Contractility in Cell Oscillation. Current Biology. 26(17). 2388–2396. 55 indexed citations
17.
Ravasio, Andrea, Ibrahim Cheddadi, Tianchi Chen, et al.. (2015). Gap geometry dictates epithelial closure efficiency. Nature Communications. 6(1). 7683–7683. 115 indexed citations
18.
Vedula, Sri Ram Krishna, Grégoire Peyret, Ibrahim Cheddadi, et al.. (2015). Mechanics of epithelial closure over non-adherent environments. Nature Communications. 6(1). 6111–6111. 99 indexed citations
19.
20.
Toyama, Yusuke, Xomalin G. Peralta, Adrienne R. Wells, Daniel P. Kiehart, & Glenn S. Edwards. (2008). Apoptotic Force and Tissue Dynamics During Drosophila Embryogenesis. Science. 321(5896). 1683–1686. 217 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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