Michiya Matsusaki

7.9k citations
249 papers · 6.2k indexed · 1 hit paper · h-index 43

Michiya Matsusaki

237 papers receiving 6.1k citations

Hit Papers

Engineered whole cut meat-like tissue by the assembly of ...219202120262022202450100150200

Peers

Michiya Matsusaki
Comparison fields: 5 of 136
  • Biomaterials 2.2k
  • Surfaces, Coatings and Films 1.0k
  • Molecular Medicine 505
  • Biomedical Engineering 3.2k
  • Automotive Engineering 492
Replace Neil R. Cameron with:
Neil R. Cameron United Kingdom
Seongbong Jo United States
Akio Kishida Japan
Manuel Salmerón‐Sánchez Spain
Heungsoo Shin South Korea
Antonella Motta Italy
Kytai T. Nguyen United States
Thomas Groth Germany
Tai‐Horng Young Taiwan
Matthew L. Becker United States
Michiya Matsusaki relative to Neil R. Cameron United Kingdom Neil R. Cameron's profile →
Citations per field
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Neil R. Cameron · 1×
Citations per year

Countries citing papers authored by Michiya Matsusaki

Since Specialization
Citations

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

Fields of papers citing papers by Michiya Matsusaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michiya Matsusaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michiya Matsusaki Line = papers co-authored together Michiya Matsusaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20241
5 20244
6 20241
7 20241
8 202311
9 202312
10 20230
11 202345
12 20219
13 202114
14 20211
15 20205
16 201930
17 20195
18 201862
19 201731
20 201715

About Michiya Matsusaki

Michiya Matsusaki is a scholar working on Biomaterials, Surfaces, Coatings and Films, Molecular Medicine, Biomedical Engineering and Cell Biology, having authored 249 papers that have together received 6.2k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (93 papers), Electrospun Nanofibers in Biomedical Applications (52 papers), Polymer Surface Interaction Studies (51 papers), Tissue Engineering and Regenerative Medicine (35 papers), Hydrogels: synthesis, properties, applications (23 papers), Bone Tissue Engineering Materials (23 papers), Nanoparticle-Based Drug Delivery (17 papers) and biodegradable polymer synthesis and properties (17 papers). The work is most often cited by research in Biomaterials (2.2k citations), Surfaces, Coatings and Films (1.0k citations), Molecular Medicine (505 citations), Biomedical Engineering (3.2k citations) and Automotive Engineering (492 citations). Michiya Matsusaki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Mitsuru Akashi, Tatsuo Kaneko, Koji Kadowaki, Akihiro Nishiguchi, Toshiyuki Kida, Hiroaki Yoshida, Yoshio Nakahara, Fiona Louis, Takeshi Serizawa and Yoshihiro Kodama. Their work appears in journals such as Biochemical and Biophysical Research Communications, Chemistry Letters, Materials Today Bio, Advanced Healthcare Materials and Biomacromolecules.

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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