Kenji Yasuoka

7.2k total citations · 1 hit paper
244 papers, 5.9k citations indexed

About

Kenji Yasuoka is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Atmospheric Science. According to data from OpenAlex, Kenji Yasuoka has authored 244 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Atomic and Molecular Physics, and Optics, 67 papers in Materials Chemistry and 55 papers in Atmospheric Science. Recurrent topics in Kenji Yasuoka's work include Spectroscopy and Quantum Chemical Studies (56 papers), nanoparticles nucleation surface interactions (49 papers) and Material Dynamics and Properties (30 papers). Kenji Yasuoka is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (56 papers), nanoparticles nucleation surface interactions (49 papers) and Material Dynamics and Properties (30 papers). Kenji Yasuoka collaborates with scholars based in Japan, United States and Russia. Kenji Yasuoka's co-authors include Xiao Cheng Zeng, Toshikazu Ebisuzaki, Mitsuhiro Matsumoto, Takahiro Koishi, Eiji Yamamoto, Tetsu Narumi, Ryo Ohmura, Shigenori Fujikawa, Amadeu K. Sum and Noriyoshi Arai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Kenji Yasuoka

236 papers receiving 5.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Coexistence and transition between Cassie and Wenzel state on pillared hydrophobic surface

2009 410 citations Takahiro Koishi, Kenji Yasuoka et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenji Yasuoka Japan	44	1.4k	1.3k	1.1k	1.1k	883	244	5.9k
Eduardo Sanz Spain	39	2.8k 1.9×	1.4k 1.1×	2.0k 1.8×	1.0k 1.0×	924 1.0×	130	5.9k
B. Rousseau France	48	1.6k 1.1×	896 0.7×	349 0.3×	1.5k 1.4×	333 0.4×	257	7.2k
Hideki Tanaka Japan	49	3.7k 2.6×	2.7k 2.1×	1.0k 0.9×	2.6k 2.4×	1.8k 2.0×	258	8.9k
J. L. F. Abascal Spain	33	3.7k 2.6×	3.8k 2.9×	2.2k 1.9×	3.0k 2.7×	1.0k 1.2×	85	9.8k
Peter G. Kusalik Canada	48	1.7k 1.2×	3.1k 2.4×	892 0.8×	1.3k 1.2×	1.7k 1.9×	125	7.0k
J. Raúl Grigera Argentina	21	3.3k 2.3×	5.1k 3.9×	850 0.8×	3.2k 2.9×	365 0.4×	83	12.8k
S. A. Stern United States	68	1.8k 1.3×	473 0.4×	1.7k 1.5×	1.5k 1.4×	160 0.2×	659	16.0k
Iwao Ohmine Japan	35	1.4k 0.9×	3.1k 2.4×	624 0.6×	641 0.6×	163 0.2×	61	5.3k
Christian Robert Trott United States	12	4.5k 3.2×	940 0.7×	367 0.3×	1.3k 1.2×	94 0.1×	23	8.7k
Brad Lee Holian United States	48	5.2k 3.6×	1.9k 1.5×	447 0.4×	1.4k 1.3×	138 0.2×	141	10.3k

Countries citing papers authored by Kenji Yasuoka

Since Specialization

Citations

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

Fields of papers citing papers by Kenji Yasuoka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Yasuoka

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

Yasuoka, Kenji, et al.. (2025). Machine learning-enabled exploration of mesoscale architectures in amphiphilic-molecule self-assembly. Next research.. 2(1). 100150–100150. 1 indexed citations

Winarto, Winarto, et al.. (2025). A molecular dynamics study of enhanced CO ₂ separation via boron nitride nanotubes embedded in a silicon nitride membrane. Physical Chemistry Chemical Physics. 27(27). 14597–14605.

Bülow, Sören von, et al.. (2025). Coarse-Grained Model of Disordered RNA for Simulations of Biomolecular Condensates. Journal of Chemical Theory and Computation. 21(5). 2766–2779. 10 indexed citations

Nakano, Tatsuya, Koji Okuwaki, Yoshinori Hirano, et al.. (2025). Large‐Scale FMO ‐ MP2 Calculations of the Spike Protein Droplet Model. Journal of Computational Chemistry. 46(4). e70052–e70052. 3 indexed citations

Arai, Noriyoshi, et al.. (2024). In-layer inhomogeneity of molecular dynamics in quasi-liquid layers of ice. Communications Chemistry. 7(1). 117–117. 2 indexed citations

Yasuoka, Kenji, et al.. (2024). Graph-Neural-Network-Based Unsupervised Learning of the Temporal Similarity of Structural Features Observed in Molecular Dynamics Simulations. Journal of Chemical Theory and Computation. 20(2). 819–831. 11 indexed citations

Arai, Noriyoshi, Eiji Yamamoto, Takahiro Koishi, et al.. (2023). Wetting hysteresis induces effective unidirectional water transport through a fluctuating nanochannel. Nanoscale Horizons. 8(5). 652–661. 5 indexed citations

Kobayashi, Yusei, et al.. (2023). Combining Molecular Dynamics and Machine Learning to Analyze Shear Thinning for Alkane and Globular Lubricants in the Low Shear Regime. ACS Applied Materials & Interfaces. 15(6). 8567–8578. 7 indexed citations

Yasuoka, Kenji, et al.. (2023). Learned pseudo-random number generator: WGAN-GP for generating statistically robust random numbers. PLoS ONE. 18(6). e0287025–e0287025. 7 indexed citations

10.

Yasuoka, Kenji, et al.. (2023). Pre-Smectic Ordering and the Unwinding Helix in Monte Carlo Simulations of Cholesteric Liquid-Crystals. The Journal of Physical Chemistry B. 127(32). 7194–7204. 2 indexed citations

11.

Hirano, Yoshinori, et al.. (2023). Unsupervised deep learning for molecular dynamics simulations: a novel analysis of protein–ligand interactions in SARS-CoV-2 M^pro. RSC Advances. 13(48). 34249–34261. 8 indexed citations

12.

Yasuoka, Kenji, et al.. (2022). Prediction of Water Diffusion in Wide Varieties of Polymers with All-Atom Molecular Dynamics Simulations and Deep Generative Models. Journal of Chemical Information and Modeling. 63(1). 76–86. 8 indexed citations

13.

Yasuoka, Kenji, et al.. (2021). Phase Transitions and Hysteresis for a Simple Model Liquid Crystal by Replica-Exchange Monte Carlo Simulations. Molecules. 26(5). 1421–1421. 5 indexed citations

14.

Morita, Kazuki, Ji‐Sang Park, Sunghyun Kim, Kenji Yasuoka, & Aron Walsh. (2019). Crystal Engineering of Bi ₂ WO ₆ to Polar Aurivillius-Phase Oxyhalides. The Journal of Physical Chemistry C. 123(48). 29155–29161. 21 indexed citations

15.

Shibuya, Taizo, Kenji Yasuoka, S. Mirbt, & Biplab Sanyal. (2017). Subsurface Polaron Concentration As a Factor in the Chemistry of Reduced TiO₂ (110) Surfaces. The Journal of Physical Chemistry C. 121(21). 11325–11334. 15 indexed citations

16.

Kholmurodov, Kholmirzo, et al.. (2013). Structural and diffusion properties of formamide/water mixture interacting with TiO2 surface. Bioorganic Chemistry. 50. 11–16. 2 indexed citations

17.

Yokota, Rio, Lorena A. Barba, Tetsu Narumi, & Kenji Yasuoka. (2012). Scaling fast multipole methods up to 4000 GPUs. IEEE International Conference on High Performance Computing, Data, and Analytics. 9. 1 indexed citations

18.

Kholmurodov, Kholmirzo, et al.. (2010). Molecular dynamics simulations of valinomycin interactions with potassium and sodium ions in water solvent. Advances in Bioscience and Biotechnology. 1(3). 216–223. 8 indexed citations

19.

Watanabe, Gentaro, et al.. (2007). The impact of nuclear "pasta" on neutrino transport in collapsing cores. arXiv (Cornell University). 2 indexed citations

20.

Watanabe, Gentaro, et al.. (2001). 1 Microscopic Study of Nuclear “Pasta ” by Quantum Molecular Dynamics. 1 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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