Suguru MIYAUCHI

429 total citations
32 papers, 368 citations indexed

About

Suguru MIYAUCHI is a scholar working on Computational Mechanics, Cell Biology and Rheumatology. According to data from OpenAlex, Suguru MIYAUCHI has authored 32 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Mechanics, 10 papers in Cell Biology and 7 papers in Rheumatology. Recurrent topics in Suguru MIYAUCHI's work include Lattice Boltzmann Simulation Studies (10 papers), Proteoglycans and glycosaminoglycans research (9 papers) and Osteoarthritis Treatment and Mechanisms (7 papers). Suguru MIYAUCHI is often cited by papers focused on Lattice Boltzmann Simulation Studies (10 papers), Proteoglycans and glycosaminoglycans research (9 papers) and Osteoarthritis Treatment and Mechanisms (7 papers). Suguru MIYAUCHI collaborates with scholars based in Japan, United Kingdom and United States. Suguru MIYAUCHI's co-authors include Kyoji Horie, Akira Asari, Y. Nagai, Shintaro Takeuchi, M Shingu, Takeo KAJISHIMA, K. Kohno, Tomoko Sekiguchi, Yasuo Uchiyama and Kyosuke Miyazaki and has published in prestigious journals such as Journal of Computational Physics, Journal of Membrane Science and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Suguru MIYAUCHI

31 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suguru MIYAUCHI Japan 12 113 96 51 50 44 32 368
Matthias Aust Germany 17 71 0.6× 75 0.8× 114 2.2× 4 0.1× 36 0.8× 34 961
Richard C. Schugart United States 8 33 0.3× 90 0.9× 19 0.4× 5 0.1× 87 2.0× 12 339
David Simon United States 14 58 0.5× 127 1.3× 44 0.9× 3 0.1× 111 2.5× 33 638
Teruo Kayano Japan 17 126 1.1× 30 0.3× 85 1.7× 4 0.1× 169 3.8× 48 558
Mahsa Dabagh Finland 13 9 0.1× 77 0.8× 28 0.5× 57 1.1× 41 0.9× 31 535
Nabangshu Das Canada 10 63 0.6× 31 0.3× 9 0.2× 2 0.0× 68 1.5× 14 352
Tsan-Tzu Yang Taiwan 10 69 0.6× 7 0.1× 11 0.2× 28 0.6× 121 2.8× 15 329
Adam Gołda Poland 13 57 0.5× 18 0.2× 12 0.2× 13 0.3× 86 2.0× 53 442
Shuichi Yamaguchi Japan 11 50 0.4× 14 0.1× 6 0.1× 29 0.6× 199 4.5× 32 546
Saleem Abubacker Canada 9 188 1.7× 55 0.6× 14 0.3× 54 1.2× 10 351

Countries citing papers authored by Suguru MIYAUCHI

Since Specialization
Citations

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

Fields of papers citing papers by Suguru MIYAUCHI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suguru MIYAUCHI

This figure shows the co-authorship network connecting the top 25 collaborators of Suguru MIYAUCHI. A scholar is included among the top collaborators of Suguru MIYAUCHI 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 Suguru MIYAUCHI. Suguru MIYAUCHI 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.
2.
Yamada, Shûji, Shintaro Takeuchi, Suguru MIYAUCHI, & Takeo KAJISHIMA. (2021). Transport of solute and solvent driven by lubrication pressure through non-deformable permeable membranes. Microfluidics and Nanofluidics. 25(10). 3 indexed citations
3.
Takeuchi, Shintaro, Suguru MIYAUCHI, Shûji Yamada, et al.. (2021). Effect of lubrication in the non-Reynolds regime due to the non-negligible gap on the fluid permeation through a membrane. Fluid Dynamics Research. 53(3). 35501–35501. 4 indexed citations
4.
Takeuchi, Shintaro, et al.. (2020). Fluid Permeation Through A Membrane With Infinitesimal Permeability Under Reynolds Lubrication. Journal of Mechanics. 36(5). 637–648. 3 indexed citations
5.
FUKUI, Tomohiro, Kenichi Funamoto, Miho Tanaka, et al.. (2019). Viscosity Estimation of a Suspension with Rigid Spheres in Circular Microchannels Using Particle Tracking Velocimetry. Micromachines. 10(10). 675–675. 11 indexed citations
6.
Takeuchi, Shintaro, et al.. (2019). A relation between membrane permeability and flow rate at low Reynolds number in circular pipe. Journal of Membrane Science. 582. 91–102. 12 indexed citations
7.
MIYAUCHI, Suguru, Shintaro Takeuchi, & Takeo KAJISHIMA. (2017). A numerical method for interaction problems between fluid and membranes with arbitrary permeability for fluid. Journal of Computational Physics. 345. 33–57. 15 indexed citations
8.
Suzuki, Daichi, Kenichi Funamoto, Shin‐ichiro Sugiyama, et al.. (2017). Effects of upstream bifurcation and bend on the blood flow in a cerebral aneurysm. Journal of Biomechanical Science and Engineering. 12(4). 17–189. 3 indexed citations
9.
MIYAUCHI, Suguru, Shintaro Takeuchi, & Takeo KAJISHIMA. (2015). A numerical method for mass transfer by a thin moving membrane with selective permeabilities. Journal of Computational Physics. 284. 490–504. 12 indexed citations
10.
11.
Yoshihara, Yasuo, et al.. (1996). [Levels of chondroitin 4-sulfate, chondroitin 6-sulfate and carboxy-terminal type II procollagen peptide in knee synovial fluid after injury to the anterior cruciate ligament].. PubMed. 36(5). 734–40. 2 indexed citations
12.
Obata, Ryo, et al.. (1995). [Quantitative analyses of glycosaminoglycans in tear fluids in normal human eyes and eyes with corneal epithelial disorders].. PubMed. 99(3). 302–7. 7 indexed citations
13.
Shingu, M, et al.. (1995). THE ROLE OF IL-4 AND IL-6 IN IL-1-DEPENDENT CARTILAGE MATRIX DEGRADATION. Lara D. Veeken. 34(2). 101–106. 73 indexed citations
14.
Asari, Akira, et al.. (1994). Hyaluronan, cartilage destruction and hydrarthrosis in traumatic arthritis. Osteoarthritis and Cartilage. 2(2). 79–89. 22 indexed citations
15.
Asari, Akira, et al.. (1994). Localization of hyaluronic acid in human articular cartilage.. Journal of Histochemistry & Cytochemistry. 42(4). 513–522. 32 indexed citations
16.
MIYAUCHI, Suguru, et al.. (1993). Alterations of proteoglycan synthesis in rabbit articular cartilage induced by intra-articular injection of papain. Osteoarthritis and Cartilage. 1(4). 253–262. 18 indexed citations
17.
MIYAUCHI, Suguru, et al.. (1993). The Influence of Glucagon on the Hepatic Transport of Taurocholate in Isolated Perfused Rat Liver: Kinetic Analysis by the Multiple Indicator Dilution Technique.. Biological and Pharmaceutical Bulletin. 16(8). 791–795. 4 indexed citations
18.
MIYAUCHI, Suguru, et al.. (1993). Dose-Dependent Hepatic Handling of l-Propranolol Determined by Multiple Indicator Dilution Method: Influence of Tissue Binding of l-Propranolol on Its Hepatic Elimination.. Biological and Pharmaceutical Bulletin. 16(10). 1019–1024. 13 indexed citations
19.
Asari, Akira, Suguru MIYAUCHI, Kyosuke Miyazaki, et al.. (1992). Intra- and extracellular localization of hyaluronic acid and proteoglycan constituents (chondroitin sulfate, keratan sulfate, and protein core) in articular cartilage of rabbit tibia.. Journal of Histochemistry & Cytochemistry. 40(11). 1693–1704. 46 indexed citations
20.
Iwata, Shuzo & Suguru MIYAUCHI. (1985). Biochemical studies on the use of sodium hyaluronate in the anterior eye segment. III. Histological studies on distribution and efflux process of 5-aminofluorescein-labeled hyaluronate.. PubMed. 29(2). 187–97. 5 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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