Daiki Matsunaga

786 total citations
36 papers, 492 citations indexed

About

Daiki Matsunaga is a scholar working on Biomedical Engineering, Condensed Matter Physics and Cell Biology. According to data from OpenAlex, Daiki Matsunaga has authored 36 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 12 papers in Condensed Matter Physics and 11 papers in Cell Biology. Recurrent topics in Daiki Matsunaga's work include Micro and Nano Robotics (12 papers), Cellular Mechanics and Interactions (11 papers) and Blood properties and coagulation (10 papers). Daiki Matsunaga is often cited by papers focused on Micro and Nano Robotics (12 papers), Cellular Mechanics and Interactions (11 papers) and Blood properties and coagulation (10 papers). Daiki Matsunaga collaborates with scholars based in Japan, United Kingdom and Germany. Daiki Matsunaga's co-authors include Fanlong Meng, Ramin Golestanian, Yohsuke Imai, Takuji Ishikawa, Julia M. Yeomans, T. Yamaguchi, Pietro Tierno, Toshihiro Omori, Shinji Deguchi and Andreas Zöttl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Daiki Matsunaga

34 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daiki Matsunaga Japan	14	251	251	96	87	79	36	492
Abdallah Daddi‐Moussa‐Ider Germany	15	306 1.2×	291 1.2×	74 0.8×	84 1.0×	44 0.6×	38	463
Zaiyi Shen France	12	123 0.5×	142 0.6×	111 1.2×	33 0.4×	166 2.1×	21	403
Jérémie Gachelin France	5	352 1.4×	250 1.0×	52 0.5×	81 0.9×	14 0.2×	6	443
Alexis Darras Germany	11	99 0.4×	121 0.5×	57 0.6×	33 0.4×	67 0.8×	30	308
D. Tullock Australia	9	192 0.8×	189 0.8×	82 0.9×	53 0.6×	20 0.3×	11	404
Alexander Farutin France	18	202 0.8×	306 1.2×	247 2.6×	54 0.6×	462 5.8×	41	862
Lothar Schmid Germany	13	217 0.9×	1.1k 4.5×	76 0.8×	75 0.9×	101 1.3×	14	1.3k
Christopher Stoltz United States	5	273 1.1×	205 0.8×	64 0.7×	50 0.6×	9 0.1×	7	402
Kaspars Ērglis Latvia	12	163 0.6×	241 1.0×	25 0.3×	45 0.5×	17 0.2×	20	359
J. Liam McWhirter Canada	9	40 0.2×	162 0.6×	93 1.0×	19 0.2×	204 2.6×	16	517

Countries citing papers authored by Daiki Matsunaga

Since Specialization

Citations

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

Fields of papers citing papers by Daiki Matsunaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Matsunaga

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

Matsunaga, Daiki, et al.. (2024). Asymmetric response emerges between creation and disintegration of force-bearing subcellular structures as revealed by percolation analysis. Integrative Biology. 16.

Liu, Shiyou, et al.. (2024). Diffusion model predicts the geometry of actin cytoskeleton from cell morphology. PLoS Computational Biology. 20(8). e1012312–e1012312. 2 indexed citations

Matsunaga, Daiki, et al.. (2024). Intracellular Macromolecular Crowding within Individual Stress Fibers Analyzed by Fluorescence Correlation Spectroscopy. Cellular and Molecular Bioengineering. 17(3). 165–176.

Zöttl, Andreas, et al.. (2023). Asymmetric bistability of chiral particle orientation in viscous shear flows. Proceedings of the National Academy of Sciences. 120(45). e2310939120–e2310939120. 4 indexed citations

Matsunaga, Daiki, et al.. (2022). Long-term molecular turnover of actin stress fibers revealed by advection-reaction analysis in fluorescence recovery after photobleaching. PLoS ONE. 17(11). e0276909–e0276909. 10 indexed citations

Ishida, Shunichi, et al.. (2022). Field-controlling patterns of sheared ferrofluid droplets. Physics of Fluids. 34(6). 9 indexed citations

Matsunaga, Daiki, et al.. (2022). Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images. Communications Biology. 5(1). 361–361. 16 indexed citations

Ishida, Shunichi, et al.. (2022). Particle segregation using crystal-like structure of capsules in wall-bounded shear flow. Physical Review Fluids. 7(6). 2 indexed citations

Meng, Fanlong, et al.. (2021). Magnetic Microswimmers Exhibit Bose-Einstein-like Condensation. Physical Review Letters. 126(7). 78001–78001. 15 indexed citations

10.

Matsunaga, Daiki, et al.. (2020). Degenerate states, emergent dynamics and fluid mixing by magnetic rotors. Soft Matter. 16(28). 6484–6492. 8 indexed citations

11.

Matsunaga, Daiki, et al.. (2020). Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet. Biochemical and Biophysical Research Communications. 530(3). 527–532. 6 indexed citations

12.

Matsunaga, Daiki, et al.. (2019). Shelving a Code Block for Thread-Level Speculation. 427–434. 6 indexed citations

13.

Meng, Fanlong, et al.. (2019). Tunable self-healing of magnetically propelling colloidal carpets. Nature Communications. 10(1). 2444–2444. 75 indexed citations

14.

Matsunaga, Daiki, et al.. (2019). Controlling collective rotational patterns of magnetic rotors. Nature Communications. 10(1). 4696–4696. 26 indexed citations

15.

Meng, Fanlong, Daiki Matsunaga, & Ramin Golestanian. (2018). Clustering of Magnetic Swimmers in a Poiseuille Flow. Physical Review Letters. 120(18). 188101–188101. 36 indexed citations

16.

Matsunaga, Daiki, Andreas Zöttl, Fanlong Meng, Ramin Golestanian, & Julia M. Yeomans. (2018). Far-field theory for trajectories of magnetic ellipsoids in rectangular and circular channels. IMA Journal of Applied Mathematics. 83(4). 767–782. 13 indexed citations

17.

Matsunaga, Daiki, Yohsuke Imai, Christian Wagner, & Takuji Ishikawa. (2016). Reorientation of a single red blood cell during sedimentation. Journal of Fluid Mechanics. 806. 102–128. 16 indexed citations

18.

Ishikawa, Takuji, Tomoyuki Tanaka, Yohsuke Imai, Toshihiro Omori, & Daiki Matsunaga. (2016). Deformation of a micro-torque swimmer. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 472(2185). 20150604–20150604. 7 indexed citations

19.

Matsunaga, Daiki, Yohsuke Imai, T. Yamaguchi, & Takuji Ishikawa. (2015). Rheology of a dense suspension of spherical capsules under simple shear flow. Journal of Fluid Mechanics. 786. 110–127. 20 indexed citations

20.

Asanuma, Hiroyuki, et al.. (2003). Photo-regulation of DNA function by azobenzene-tethered oligonucleotides. Nucleic Acids Symposium Series. 3(1). 117–118. 7 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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