Yusuke T. Maeda

1.9k total citations
53 papers, 1.3k citations indexed

About

Yusuke T. Maeda is a scholar working on Condensed Matter Physics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Yusuke T. Maeda has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Condensed Matter Physics, 16 papers in Biomedical Engineering and 15 papers in Molecular Biology. Recurrent topics in Yusuke T. Maeda's work include Micro and Nano Robotics (15 papers), Cellular Mechanics and Interactions (11 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). Yusuke T. Maeda is often cited by papers focused on Micro and Nano Robotics (15 papers), Cellular Mechanics and Interactions (11 papers) and Advanced Thermodynamics and Statistical Mechanics (7 papers). Yusuke T. Maeda collaborates with scholars based in Japan, United States and France. Yusuke T. Maeda's co-authors include Albert Libchaber, Vincent Noireaux, Masaki Sano, Yuta Shimamoto, Axel Buguin, Tsvi Tlusty, Ziane Izri, Shin’ichi Ishiwata, Tsutomu Ohzuku and Kingo Ariyoshi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Yusuke T. Maeda

48 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yusuke T. Maeda 573 329 260 223 151 53 1.3k
Masaharu Nagayama 303 0.5× 233 0.7× 162 0.6× 650 2.9× 83 0.5× 88 1.5k
Andrej Vilfan 376 0.7× 544 1.7× 321 1.2× 790 3.5× 67 0.4× 60 1.6k
Paul Dommersnes 629 1.1× 389 1.2× 185 0.7× 172 0.8× 191 1.3× 54 1.3k
Shuji Ishihara 558 1.0× 399 1.2× 778 3.0× 164 0.7× 132 0.9× 73 1.6k
Karin John 565 1.0× 169 0.5× 518 2.0× 130 0.6× 92 0.6× 30 1.2k
Moritz Kreysing 1.4k 2.5× 464 1.4× 188 0.7× 98 0.4× 164 1.1× 36 2.4k
Hongyuan Jiang 744 1.3× 562 1.7× 655 2.5× 137 0.6× 57 0.4× 80 1.9k
Shashi Thutupalli 435 0.8× 679 2.1× 140 0.5× 732 3.3× 106 0.7× 37 2.0k
Monica Skoge 304 0.5× 250 0.8× 148 0.6× 147 0.7× 26 0.2× 13 812
Charlie Gosse 728 1.3× 728 2.2× 147 0.6× 134 0.6× 267 1.8× 60 1.9k

Countries citing papers authored by Yusuke T. Maeda

Since Specialization
Citations

This map shows the geographic impact of Yusuke T. Maeda'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 T. Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke T. Maeda more than expected).

Fields of papers citing papers by Yusuke T. Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke T. Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke T. Maeda. A scholar is included among the top collaborators of Yusuke T. Maeda 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 T. Maeda. Yusuke T. Maeda 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.
Miyazaki, Makito, et al.. (2025). Myosin-Driven Advection and Actin Reorganization Control the Geometry of Confined Actomyosin Gel. Nano Letters. 25(52). 17979–17987.
2.
Maeda, Yusuke T., et al.. (2024). Geometric frustration and pairing-order transition in confined bacterial vortices. Physical Review Research. 6(3).
3.
Miyazaki, Makito, et al.. (2023). State transitions of a confined actomyosin system controlled through contractility and polymerization rate. Physical Review Research. 5(1). 5 indexed citations
4.
Maeda, Yusuke T., et al.. (2023). Geometry-induced dynamics of confined chiral active matter. Physical Review Research. 5(2). 16 indexed citations
5.
Izri, Ziane, et al.. (2022). Geometric trade-off between contractile force and viscous drag determines the actomyosin-based motility of a cell-sized droplet. Proceedings of the National Academy of Sciences. 119(30). e2121147119–e2121147119. 21 indexed citations
6.
Maeda, Yusuke T.. (2022). Negative autoregulation controls size scaling in confined gene expression reactions. Scientific Reports. 12(1). 10516–10516. 2 indexed citations
7.
Kabir, Arif Md. Rashedul, et al.. (2021). Controlling Collective Motion of Kinesin-Driven Microtubules via Patterning of Topographic Landscapes. Nano Letters. 21(24). 10478–10485. 9 indexed citations
8.
Kato, Shuzo, David Garenne, Vincent Noireaux, & Yusuke T. Maeda. (2021). Phase Separation and Protein Partitioning in Compartmentalized Cell-Free Expression Reactions. Biomacromolecules. 22(8). 3451–3459. 17 indexed citations
9.
Hiraiwa, Tetsuya, et al.. (2020). Tug-of-war between actomyosin-driven antagonistic forces determines the positioning symmetry in cell-sized confinement. Nature Communications. 11(1). 3063–3063. 33 indexed citations
10.
Maeda, Yusuke T., et al.. (2020). Opto-thermal diffusiophoresis of soft biological matter: from physical principle to molecular manipulation. Biophysical Reviews. 12(2). 309–315. 6 indexed citations
11.
Izri, Ziane, David Garenne, Vincent Noireaux, & Yusuke T. Maeda. (2019). Gene Expression in on-Chip Membrane-Bound Artificial Cells. ACS Synthetic Biology. 8(8). 1705–1712. 19 indexed citations
12.
Takagi, Jun, et al.. (2019). Mechanically Distinct Microtubule Arrays Determine the Length and Force Response of the Meiotic Spindle. Developmental Cell. 49(2). 267–278.e5. 24 indexed citations
13.
Noireaux, Vincent, et al.. (2018). Anomalous Scaling of Gene Expression in Confined Cell-Free Reactions. Scientific Reports. 8(1). 7364–7364. 29 indexed citations
14.
Shimamoto, Yuta, Yusuke T. Maeda, Albert Libchaber, Shin’ichi Ishiwata, & Tarun M. Kapoor. (2013). Insights into the Micromechanical Properties of the Metaphase Spindle. Biophysical Journal. 104(2). 149a–149a. 1 indexed citations
15.
Yuan, Yuan, Toru Tanabe, Kazuo Inaba, et al.. (2012). Isolation and functional characterization for oocyte maturation and sperm motility of the oocyte maturation arresting factor from the Japanese scallop, Patinopecten yessoensis. General and Comparative Endocrinology. 179(3). 350–357. 8 indexed citations
16.
Hamada, Takahiro, Yusuke T. Maeda, Hiroyuki Matsuda, et al.. (2009). Effect of cell-surface hydrophobicity on bacterial conversion of water-immiscible chemicals in two-liquid-phase culture systems. Journal of Bioscience and Bioengineering. 108(2). 116–120. 14 indexed citations
17.
Maeda, Yusuke T., et al.. (2008). Ordered Patterns of Cell Shape and Orientational Correlation during Spontaneous Cell Migration. PLoS ONE. 3(11). e3734–e3734. 97 indexed citations
18.
Maeda, Yusuke T. & Masaki Sano. (2006). Regulatory Dynamics of Synthetic Gene Networks with Positive Feedback. Journal of Molecular Biology. 359(4). 1107–1124. 85 indexed citations
19.
Sato, Shin‐ichi, Yusuke T. Maeda, Takahiko Nojima, Hiroko Kondo, & Shigeori Takenaka. (2003). SNP analysis by using ferrocenyl naphthalene diimide (FND)-based electrochemical hybridization assay (EHA). Nucleic Acids Symposium Series. 3(1). 169–170. 6 indexed citations
20.
Kishi, Noriyuki, Zhenyu Tang, Yusuke T. Maeda, et al.. (2001). Murine homologs of deltex define a novel gene family involved in vertebrate Notch signaling and neurogenesis. International Journal of Developmental Neuroscience. 19(1). 21–35. 82 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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