Yuichi Togashi

1.1k total citations
43 papers, 777 citations indexed

About

Yuichi Togashi is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Yuichi Togashi has authored 43 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Atomic and Molecular Physics, and Optics and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Yuichi Togashi's work include Protein Structure and Dynamics (14 papers), RNA and protein synthesis mechanisms (11 papers) and stochastic dynamics and bifurcation (8 papers). Yuichi Togashi is often cited by papers focused on Protein Structure and Dynamics (14 papers), RNA and protein synthesis mechanisms (11 papers) and stochastic dynamics and bifurcation (8 papers). Yuichi Togashi collaborates with scholars based in Japan, Germany and United States. Yuichi Togashi's co-authors include Kunihiko Kaneko, Alexander S. Mikhailov, Holger Flechsig, Soya Shinkai, Tadasu Nozaki, Kazuhiro Maeshima, Raymond Kapral, Toshio Yanagida, Masahiro Ueda and Michio Hiroshima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Yuichi Togashi

43 papers receiving 767 citations

Peers

Yuichi Togashi

SNP

AMPO

Fredrik Kartberg Denmark

Markus Elsner Germany

S. M. Ali Tabei United States

Gernot Guigas Germany

Michael Monine United States

Juan A. Torreño-Pina Spain

David G. Míguez Spain

Azi Lipshtat Israel

Pavel Kraikivski United States

Christian L. Vestergaard France

Fredrik Kartberg Denmark

Yuichi Togashi

486 ×0.9

112 ×0.9

SNP

87 ×0.9

AMPO

154 ×1.7

106 ×1.3

Citations per year, relative to Yuichi Togashi Yuichi Togashi (= 1×) peers Fredrik Kartberg

Countries citing papers authored by Yuichi Togashi

Since Specialization

Citations

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

Fields of papers citing papers by Yuichi Togashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Togashi

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

All Works

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20 of 20 papers shown

Sugimoto, Naoya, Yuichi Togashi, Yutaro Tanaka, et al.. (2025). Clinical remission of mild-to-moderate asthma: Rates, contributing factors, and stability. Journal of Allergy and Clinical Immunology Global. 4(2). 100431–100431. 2 indexed citations

Iwane, Atsuko H., et al.. (2025). Automated cell structure extraction for 3D electron microscopy by deep learning. Scientific Reports. 15(1). 17481–17481. 2 indexed citations

Togashi, Yuichi, et al.. (2024). Protocol for calculating binding free energy of RNA:RNA interactions through molecular dynamics simulations using adaptive biasing force technique. STAR Protocols. 5(3). 103223–103223. 1 indexed citations

Suzuki, Miho, et al.. (2021). Structural dynamics of DNA depending on methylation pattern. Physical review. E. 103(1). 12404–12404. 6 indexed citations

Asano, Katsura, et al.. (2021). Free energy landscape of RNA binding dynamics in start codon recognition by eukaryotic ribosomal pre-initiation complex. PLoS Computational Biology. 17(6). e1009068–e1009068. 7 indexed citations

Shinkai, Soya, M. NAKAGAWA, Takeshi Sugawara, et al.. (2020). PHi-C: deciphering Hi-C data into polymer dynamics. NAR Genomics and Bioinformatics. 2(2). lqaa020–lqaa020. 30 indexed citations

Awazu, Akinori, et al.. (2019). Histone Tail Dynamics in Partially Disassembled Nucleosomes During Chromatin Remodeling. Frontiers in Molecular Biosciences. 6. 133–133. 10 indexed citations

Togashi, Yuichi, et al.. (2017). The 1-Particle-per-k-Nucleotides (1PkN) Elastic Network Model of DNA Dynamics with Sequence-Dependent Geometry. Frontiers in Physiology. 8. 103–103. 3 indexed citations

Shinkai, Soya, Tadasu Nozaki, Kazuhiro Maeshima, & Yuichi Togashi. (2016). Dynamic Nucleosome Movement Provides Structural Information of Topological Chromatin Domains in Living Human Cells. PLoS Computational Biology. 12(10). e1005136–e1005136. 80 indexed citations

10.

NAKAGAWA, M. & Yuichi Togashi. (2016). An Analytical Framework for Studying Small-Number Effects in Catalytic Reaction Networks: A Probability Generating Function Approach to Chemical Master Equations. Frontiers in Physiology. 7. 89–89. 4 indexed citations

11.

Tochio, N., Holger Flechsig, Masaharu Kondo, et al.. (2016). Non-RVD mutations that enhance the dynamics of the TAL repeat array along the superhelical axis improve TALEN genome editing efficacy. Scientific Reports. 6(1). 37887–37887. 7 indexed citations

12.

Ishibashi, Munenori, et al.. (2015). Integrin LFA-1 regulates cell adhesion via transient clutch formation. Biochemical and Biophysical Research Communications. 464(2). 459–466. 16 indexed citations

13.

Togashi, Yuichi, et al.. (2012). Myosin-V as a Mechanical Sensor: An Elastic Network Study. Biophysical Journal. 102(3). 542–551. 19 indexed citations

14.

Morimatsu, Masatoshi, et al.. (2012). Spontaneous Structural Changes in Actin Regulate G-F Transformation. PLoS ONE. 7(11). e45864–e45864. 5 indexed citations

15.

Togashi, Yuichi, et al.. (2012). Complex Intramolecular Mechanics of G-actin — An Elastic Network Study. PLoS ONE. 7(10). e45859–e45859. 11 indexed citations

16.

Nakamura, Akinobu, Yuichi Togashi, Kazuki Orime, et al.. (2012). Control of beta cell function and proliferation in mice stimulated by small-molecule glucokinase activator under various conditions. Diabetologia. 55(6). 1745–1754. 29 indexed citations

17.

Togashi, Yuichi, et al.. (2008). Mesoscale modeling of molecular machines: Cyclic dynamics and hydrodynamical fluctuations. Physical Review E. 77(5). 50901–50901. 43 indexed citations

18.

Togashi, Yuichi, Toshiyuki Kobayashi, Shuji Momose, et al.. (2005). Transgenic rescue from embryonic lethality and renal carcinogenesis in the Nihon rat model by introduction of a wild-type Bhd gene. Oncogene. 25(20). 2885–2889. 9 indexed citations

19.

Togashi, Yuichi & Kunihiko Kaneko. (2004). Molecular discreteness in reaction-diffusion systems yields steady states not seen in the continuum limit. Physical Review E. 70(2). 20901–20901. 34 indexed citations

20.

Togashi, Yuichi & Kunihiko Kaneko. (2001). Transitions Induced by the Discreteness of Molecules in a Small Autocatalytic System. Physical Review Letters. 86(11). 2459–2462. 75 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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