Mami Matsukawa

3.1k total citations
226 papers, 2.4k citations indexed

About

Mami Matsukawa is a scholar working on Biomedical Engineering, Mechanics of Materials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mami Matsukawa has authored 226 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Biomedical Engineering, 83 papers in Mechanics of Materials and 62 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mami Matsukawa's work include Ultrasonics and Acoustic Wave Propagation (70 papers), Ultrasound Imaging and Elastography (49 papers) and Bone health and osteoporosis research (49 papers). Mami Matsukawa is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (70 papers), Ultrasound Imaging and Elastography (49 papers) and Bone health and osteoporosis research (49 papers). Mami Matsukawa collaborates with scholars based in Japan, France and United States. Mami Matsukawa's co-authors include Takahiko Yanagitani, Yoshiaki Watanabe, Katsunori Mizuno, Takahiko Otani, Daisuke Koyama, Yoshiki Nagatani, Yu Yamato, M. Sasso, Kaoru Yamazaki and Kentaro Nakamura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Mami Matsukawa

216 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mami Matsukawa Japan 26 1.2k 884 758 611 402 226 2.4k
Emmanuel Bossy France 26 1.5k 1.3× 948 1.1× 1.1k 1.4× 550 0.9× 92 0.2× 82 2.5k
S.B. Palmer United Kingdom 33 1.0k 0.9× 2.1k 2.4× 361 0.5× 742 1.2× 572 1.4× 202 4.8k
Salah Naı̈li France 26 744 0.6× 979 1.1× 306 0.4× 508 0.8× 34 0.1× 152 2.1k
D. Royer France 29 1.1k 0.9× 1.7k 1.9× 175 0.2× 66 0.1× 416 1.0× 121 2.4k
Peter A. Lewin United States 30 1.6k 1.3× 1.1k 1.2× 1.1k 1.4× 42 0.1× 292 0.7× 161 2.6k
Michael S. Hughes United States 29 1.1k 1.0× 334 0.4× 572 0.8× 39 0.1× 114 0.3× 113 2.3k
Hidetoshi Hashizume Japan 29 1.3k 1.1× 575 0.7× 193 0.3× 57 0.1× 647 1.6× 336 3.8k
S. A. Goss United States 15 1.4k 1.2× 438 0.5× 1.2k 1.6× 83 0.1× 109 0.3× 28 1.9k
Meng‐Xing Tang United Kingdom 37 3.5k 2.9× 477 0.5× 2.7k 3.5× 28 0.0× 376 0.9× 204 4.6k
Thomas A. Perry United States 32 335 0.3× 1.1k 1.2× 43 0.1× 134 0.2× 367 0.9× 96 3.1k

Countries citing papers authored by Mami Matsukawa

Since Specialization
Citations

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

Fields of papers citing papers by Mami Matsukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mami Matsukawa

This figure shows the co-authorship network connecting the top 25 collaborators of Mami Matsukawa. A scholar is included among the top collaborators of Mami Matsukawa 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 Mami Matsukawa. Mami Matsukawa 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
2.
Ishikawa, Mutsuo, et al.. (2024). Simulation of light propagation in medium with an ultrasonically induced refractive index gradient. Journal of Applied Physics. 135(19).
3.
Emoto, Akira, et al.. (2022). Effects of the interlayer thickness on the optical characteristics of an ultrasound multilayered liquid crystal lens. Applied Physics Express. 15(12). 122004–122004. 4 indexed citations
4.
Koyama, Daisuke, et al.. (2022). Optical evaluation of a double-layered ultrasound liquid crystal lens. Journal of Applied Physics. 131(19). 8 indexed citations
5.
Emoto, Akira, et al.. (2022). Orientation angles of liquid crystals via ultrasound vibrations. Japanese Journal of Applied Physics. 61(6). 68002–68002. 2 indexed citations
6.
Koyama, Daisuke, et al.. (2021). Ultrasound liquid crystal lens with enlarged aperture using traveling waves. Optics Letters. 46(5). 1169–1169. 16 indexed citations
7.
Emoto, Akira, et al.. (2021). Ultrasound liquid crystal lens with a variable focus in the radial direction for image stabilization. Applied Optics. 60(33). 10365–10365. 14 indexed citations
8.
Nakamura, Tsukasa, et al.. (2020). Piezoelectric and Inversely Piezoelectric Responses of Bone Tissue Plates in the Megahertz Range. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(8). 1525–1532. 4 indexed citations
9.
Koyama, Daisuke, et al.. (2020). Molecular Orientation in a Variable-Focus Liquid Crystal Lens Induced by Ultrasound Vibration. Scientific Reports. 10(1). 6168–6168. 24 indexed citations
10.
Koyama, Daisuke, et al.. (2019). Vibration Characteristics and Persistence of Poloxamer- or Phospholipid-Coated Single Microbubbles under Ultrasound Irradiation. Langmuir. 35(35). 11322–11329. 4 indexed citations
11.
Otsuka, Tomohiro, Daisuke Koyama, & Mami Matsukawa. (2019). Transportation and discrimination of cells using ultrasound flexural vibration of a glass substrate. Japanese Journal of Applied Physics. 58(SG). SGGD10–SGGD10. 2 indexed citations
12.
Masuda, K., Hiroyuki Komatsu, Daisuke Koyama, & Mami Matsukawa. (2019). Control of the Surface Profile of a Thixotropic Fluid With Ultrasound. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(1). 117–123. 1 indexed citations
13.
Matsukawa, Mami, et al.. (2019). Characterization of shear waves in cortical bone using the axial transmission technique. Japanese Journal of Applied Physics. 58(SG). SGGE20–SGGE20. 12 indexed citations
14.
Matsukawa, Mami. (2019). Bone Ultrasound. Japanese Journal of Applied Physics. 58(SG). SG0802–SG0802. 26 indexed citations
15.
Masuda, K., Daisuke Koyama, & Mami Matsukawa. (2018). Noncontact Transportation of Planar Object in an Ultrasound Waveguide. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(11). 2160–2166. 9 indexed citations
16.
Matsukawa, Mami, et al.. (2017). Film growth of c-axis tilted ScAlN on the sapphire substrate for SAW devices. 2017 IEEE International Ultrasonics Symposium (IUS). 1–4. 5 indexed citations
17.
Koyama, Daisuke, et al.. (2016). On-chip ultrasonic manipulation of microparticles by using the flexural vibration of a glass substrate. Ultrasonics. 79. 81–86. 9 indexed citations
18.
Mano, Takashi, et al.. (2014). Ultrasound radiation from a three-layer thermoacoustic transformation device. Ultrasonics. 57. 84–89. 2 indexed citations
19.
Mihata, Teruhisa, et al.. (2013). Ultrasonic wave properties in the human marrow in femur and tibia.. IEICE Technical Report; IEICE Tech. Rep.. 112(387). 125–128. 1 indexed citations
20.
Yanagitani, Takahiko, et al.. (2012). Wideband Multimode Transducer Consisting of c-Axis Tilted ZnO/c-Axis Normal ZnO Multilayer. Japanese Journal of Applied Physics. 51(7S). 07GC08–07GC08. 11 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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