Yusuke Kanematsu

532 total citations
37 papers, 264 citations indexed

About

Yusuke Kanematsu is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Yusuke Kanematsu has authored 37 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Atomic and Molecular Physics, and Optics and 11 papers in Materials Chemistry. Recurrent topics in Yusuke Kanematsu's work include Hemoglobin structure and function (6 papers), Advanced Chemical Physics Studies (6 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Yusuke Kanematsu is often cited by papers focused on Hemoglobin structure and function (6 papers), Advanced Chemical Physics Studies (6 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). Yusuke Kanematsu collaborates with scholars based in Japan. Yusuke Kanematsu's co-authors include Masanori Tachikawa, Yu Takano, Hiroko Kondo, Hatsumi Mori, Akira Ueda, Takayoshi Ishimoto, Umpei Nagashima, Joji Ohshita, Takashi Yoshida and Yukiko Kamiya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Biochemistry.

In The Last Decade

Yusuke Kanematsu

33 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusuke Kanematsu Japan 11 89 87 58 55 50 37 264
Jimmy Maillard Switzerland 4 168 1.9× 95 1.1× 75 1.3× 39 0.7× 33 0.7× 6 318
Russell A. Jensen United States 6 72 0.8× 142 1.6× 24 0.4× 142 2.6× 54 1.1× 7 389
Jan Neumann Germany 12 83 0.9× 40 0.5× 47 0.8× 63 1.1× 49 1.0× 18 388
Jens T. Törring Germany 10 84 0.9× 136 1.6× 42 0.7× 80 1.5× 82 1.6× 10 382
Daria Khvostichenko United States 10 178 2.0× 66 0.8× 35 0.6× 146 2.7× 54 1.1× 16 450
Mark R. Pollard United Kingdom 10 49 0.6× 156 1.8× 42 0.7× 163 3.0× 48 1.0× 15 454
Aleksei Volkov Germany 6 175 2.0× 125 1.4× 61 1.1× 52 0.9× 27 0.5× 6 349
Theodore G. Camenisch United States 13 149 1.7× 50 0.6× 141 2.4× 79 1.4× 26 0.5× 19 385
O. M. Usov Russia 12 108 1.2× 62 0.7× 21 0.4× 69 1.3× 30 0.6× 30 354
Л. Л. Гладков Belarus 10 279 3.1× 65 0.7× 45 0.8× 68 1.2× 29 0.6× 60 354

Countries citing papers authored by Yusuke Kanematsu

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Kanematsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Kanematsu

This figure shows the co-authorship network connecting the top 25 collaborators of Yusuke Kanematsu. A scholar is included among the top collaborators of Yusuke Kanematsu 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 Kanematsu. Yusuke Kanematsu 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.
Kanematsu, Yusuke, Yohei Adachi, Hiromasa Kaneko, et al.. (2025). A Practical Application of Machine Learning for the Development of Metallole-Based Fluorescent Materials. Molecules. 30(8). 1686–1686.
2.
Kanematsu, Yusuke, et al.. (2025). Integrated approach of coarse-grained molecular dynamics calculations and machine learning for understanding mechanical properties of filler-filled polymer models. Computational Materials Science. 250. 113706–113706. 2 indexed citations
3.
Inoue, M., Takayoshi Ishimoto, Taro Udagawa, et al.. (2025). Applicability of multicomponent quantum mechanical calculations for H/D isotope effects in electronic absorption spectra. Chemistry Letters. 54(2).
4.
Adachi, Yohei, et al.. (2024). Phosphorescence Properties of Boron/Bismuth Hybrid Conjugated Materials. Chemistry - An Asian Journal. 19(7). e202301142–e202301142. 8 indexed citations
5.
Tsujino, Hirofumi, et al.. (2024). Furanyl bis(indolyl)methane as a palladium ion-selective chromogenic agent. Organic & Biomolecular Chemistry. 22(14). 2734–2738. 2 indexed citations
6.
Kanematsu, Yusuke, et al.. (2024). Theoretical evaluation of surface oxidation effects on resin dynamics at the carbon fibre-resin interface. Materials Today Communications. 38. 108379–108379. 4 indexed citations
7.
Kato, Hiroyuki, Masanori Muroyama, Seiya Watanabe, et al.. (2024). Electron Transfer Capability in Atomic Hydrogen Reactions for Imidazole Groups Bound to the Insulating Alkanethiolate Layer on Au(111). The Journal of Physical Chemistry Letters. 15(43). 10769–10776. 1 indexed citations
8.
9.
Kanematsu, Yusuke, Hiroko Kondo, & Yu Takano. (2023). Computational Exploration of Minimum Energy Reaction Pathway of N2O Formation from Intermediate I of P450nor Using an Active Center Model. International Journal of Molecular Sciences. 24(24). 17172–17172. 1 indexed citations
10.
Kondo, Hiroko, et al.. (2023). Prediction of Protein Function from Tertiary Structure of the Active Site in Heme Proteins by Convolutional Neural Network. Biomolecules. 13(1). 137–137. 4 indexed citations
11.
Kanematsu, Yusuke, et al.. (2023). Modelling the dynamic physical properties of vulcanised polymer models by molecular dynamics simulations and machine learning. Computational Materials Science. 221. 112081–112081. 10 indexed citations
12.
13.
Kanematsu, Yusuke, Akihiro Narita, Toshiro Oda, et al.. (2022). Structures and mechanisms of actin ATP hydrolysis. Proceedings of the National Academy of Sciences. 119(43). e2122641119–e2122641119. 19 indexed citations
14.
Kondo, Hiroko, et al.. (2022). Global Analysis of Heme Proteins Elucidates the Correlation between Heme Distortion and the Heme-Binding Pocket. Journal of Chemical Information and Modeling. 62(4). 775–784. 11 indexed citations
15.
Kondo, Hiroko, et al.. (2020). PyDISH: database and analysis tools for heme porphyrin distortion in heme proteins. Database. 2023. 13 indexed citations
16.
Takano, Yu, et al.. (2019). Computational study of distortion effect of Fe-porphyrin found as a biological active site. Japanese Journal of Applied Physics. 59(1). 10502–10502. 14 indexed citations
17.
18.
Kanematsu, Yusuke, Kazutoshi Gohara, Hiroko Yamada, & Yu Takano. (2016). Applicability of Density Functional Tight Binding Method with Dispersion Correction to Investigate the Adsorption of Porphyrin/Porphycene Metal Complexes on Graphene. Chemistry Letters. 46(1). 51–52. 9 indexed citations
19.
Kanematsu, Yusuke, Hironari Kamikubo, Mikio Kataoka, & Masanori Tachikawa. (2015). Vibrational analysis on the revised potential energy curve of the low-barrier hydrogen bond in photoactive yellow protein. Computational and Structural Biotechnology Journal. 14. 16–19. 8 indexed citations
20.
Kanematsu, Yusuke, Yukiko Kamiya, Koichi Matsuo, et al.. (2015). Isotope effect on the circular dichroism spectrum of methyl α-D-glucopyranoside in aqueous solution. Scientific Reports. 5(1). 17900–17900. 9 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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2026