Ryo Kanada

926 total citations
28 papers, 613 citations indexed

About

Ryo Kanada is a scholar working on Molecular Biology, Materials Chemistry and Statistical and Nonlinear Physics. According to data from OpenAlex, Ryo Kanada has authored 28 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Materials Chemistry and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Ryo Kanada's work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (5 papers) and Machine Learning in Materials Science (4 papers). Ryo Kanada is often cited by papers focused on Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (5 papers) and Machine Learning in Materials Science (4 papers). Ryo Kanada collaborates with scholars based in Japan, China and United States. Ryo Kanada's co-authors include Shoji Takada, Hiroo Kenzaki, Wenfei Li, Tsuyoshi Terakawa, Nobuyasu Koga, Xin‐Qiu Yao, Kei-ichi Okazaki, Naoto Hori, Kazuo Sasaki and Cheng Tan and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Accounts of Chemical Research.

In The Last Decade

Ryo Kanada

24 papers receiving 598 citations

Peers

Ryo Kanada

PRM

ONCOL

AMPO

Ludovico Sutto Italy

Aram Davtyan United States

Noga Kozer Israel

Razif Gabdoulline Germany

Takefumi Yamashita Japan

Paraskevi Gkeka Greece

Hervé Minoux France

Lizhe Zhu China

Roger Abseher Germany

Ludovico Sutto Italy

Ryo Kanada

769 ×1.9

270 ×1.8

57 ×0.6

PRM

94 ×1.3

ONCOL

90 ×1.4

AMPO

Citations per year, relative to Ryo Kanada Ryo Kanada (= 1×) peers Ludovico Sutto

Countries citing papers authored by Ryo Kanada

Since Specialization

Citations

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

Fields of papers citing papers by Ryo Kanada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Kanada

This figure shows the co-authorship network connecting the top 25 collaborators of Ryo Kanada. A scholar is included among the top collaborators of Ryo Kanada 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 Ryo Kanada. Ryo Kanada 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

Kanada, Ryo, Ken‐ichi Miyazono, Haruaki Yanagisawa, et al.. (2025). Tension-induced suppression of allosteric conformational changes coordinates kinesin-1 stepping. The Journal of Cell Biology. 224(7).

Matsumoto, Shigeyuki, Ryo Kanada, Biao Ma, et al.. (2025). Precision spatiotemporal analysis of large-scale compound–protein interactions through molecular dynamics simulation. PNAS Nexus. 4(3). pgaf094–pgaf094.

Matsumoto, Shigeyuki, Junso Fujita, Tomoko Miyata, et al.. (2025). Conversion of an agonistic anti-TNFR2 biparatopic antibody into an antagonist by insertion of peptide linkers into the hinge region. Journal of Biological Chemistry. 301(9). 110548–110548.

Matsumoto, Shigeyuki, Kosuke Ogata, Biao Ma, et al.. (2024). Receptor-independent regulation of Gα13 by alpha-1-antitrypsin C-terminal peptides. Journal of Biological Chemistry. 301(2). 108136–108136.

Kanada, Ryo, Kei Terayama, Atsushi Tokuhisa, Shigeyuki Matsumoto, & Yasushi Okuno. (2022). Enhanced Conformational Sampling with an Adaptive Coarse-Grained Elastic Network Model Using Short-Time All-Atom Molecular Dynamics. Journal of Chemical Theory and Computation. 18(4). 2062–2074. 9 indexed citations

Yoneda, Kazunori, Ryo Kanada, Junichi Okada, et al.. (2022). A thermodynamically consistent monte carlo cross-bridge model with a trapping mechanism reveals the role of stretch activation in heart pumping. Frontiers in Physiology. 13. 855303–855303. 3 indexed citations

Watanabe, Chiduru, Atsushi Tokuhisa, Yoshinobu Akinaga, et al.. (2022). Protein–ligand binding affinity prediction of cyclin‐dependent kinase‐2 inhibitors by dynamically averaged fragment molecular orbital‐based interaction energy. Journal of Computational Chemistry. 43(20). 1362–1371. 23 indexed citations

Yoshizawa, Takahiro, Ken Uchibori, Mitsugu Araki, et al.. (2021). Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity. npj Precision Oncology. 5(1). 32–32. 16 indexed citations

Kanada, Ryo, Atsushi Tokuhisa, Koji Tsuda, Yasushi Okuno, & Kei Terayama. (2020). Exploring Successful Parameter Region for Coarse-Grained Simulation of Biomolecules by Bayesian Optimization and Active Learning. Biomolecules. 10(3). 482–482. 9 indexed citations

10.

Chiba, Shuntaro, Koji Okuwaki, Ryo Kanada, et al.. (2020). Stabilization Mechanism for a Nonfibrillar Amyloid β Oligomer Based on Formation of a Hydrophobic Core Determined by Dissipative Particle Dynamics. ACS Chemical Neuroscience. 11(3). 385–394. 15 indexed citations

11.

Tokuhisa, Atsushi, Ryo Kanada, Shuntaro Chiba, et al.. (2020). Coarse-Grained Diffraction Template Matching Model to Retrieve Multiconformational Models for Biomolecule Structures from Noisy Diffraction Patterns. Journal of Chemical Information and Modeling. 60(6). 2803–2818. 3 indexed citations

12.

Kato, Koichiro, Tomohide Masuda, Chiduru Watanabe, et al.. (2020). High-Precision Atomic Charge Prediction for Protein Systems Using Fragment Molecular Orbital Calculation and Machine Learning. Journal of Chemical Information and Modeling. 60(7). 3361–3368. 31 indexed citations

13.

Okada, Koutaroh, Mitsugu Araki, Biao Ma, et al.. (2019). Prediction of ALK mutations mediating ALK-TKIs resistance and drug re-purposing to overcome the resistance. EBioMedicine. 41. 105–119. 87 indexed citations

14.

Kanada, Ryo, Tsuyoshi Terakawa, Hiroo Kenzaki, & Shoji Takada. (2019). Nucleosome Crowding in Chromatin Slows the Diffusion but Can Promote Target Search of Proteins. Biophysical Journal. 116(12). 2285–2295. 14 indexed citations

15.

Washio, Takumi, Seiryo Sugiura, Ryo Kanada, Junichi Okada, & Toshiaki Hisada. (2018). Coupling Langevin Dynamics With Continuum Mechanics: Exposing the Role of Sarcomere Stretch Activation Mechanisms to Cardiac Function. Frontiers in Physiology. 9. 333–333. 9 indexed citations

16.

Kanada, Ryo, et al.. (2013). Structure-based Molecular Simulations Reveal the Enhancement of Biased Brownian Motions in Single-headed Kinesin. PLoS Computational Biology. 9(2). e1002907–e1002907. 16 indexed citations

17.

Kanada, Ryo & Kazuo Sasaki. (2013). Energetics of the single-headed kinesin KIF1A. Physical Review E. 88(2). 22711–22711. 1 indexed citations

18.

Kanada, Ryo, et al.. (2008). Synthesis of Multiwalled Carbon Nanocoils Using Codeposited Thin Film of Fe–Sn as Catalyst. Japanese Journal of Applied Physics. 47(4R). 1949–1949. 36 indexed citations

19.

Kanada, Ryo & Kazuo Sasaki. (2003). Theoretical model for motility and processivity of two-headed molecular motors. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(6). 61917–61917. 20 indexed citations

20.

Kanada, Ryo & Kazuo Sasaki. (1999). Thermal Ratchets with Symmetric Potentials. Journal of the Physical Society of Japan. 68(12). 3759–3762. 14 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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