Mitsuhiro Okuda

49 papers receiving 1.2k citations

Peers

Mitsuhiro Okuda
Comparison fields: 5 of 104
  • Biomaterials 311
  • Surfaces, Coatings and Films 121
  • Structural Biology 21
  • Hematology 150
  • Biomedical Engineering 406
Replace Hideyuki Yoshimura with:
Hideyuki Yoshimura Japan
Kim K. W. Wong United Kingdom
Kenji Iwahori Japan
Guillaume Wang France
G. Poletti Italy
Shigeo Yoshii Japan
O. I. Kasyutich United Kingdom
Wayne Shenton United Kingdom
Stefan Kaufmann Germany
Terence J McMaster United Kingdom
Mitsuhiro Okuda relative to Hideyuki Yoshimura Japan Hideyuki Yoshimura's profile →
Citations per field
00.5×1.6×
Hideyuki Yoshimura · 1×
Citations per year

Countries citing papers authored by Mitsuhiro Okuda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Okuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitsuhiro Okuda, 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 Mitsuhiro Okuda Line = papers co-authored together Mitsuhiro Okuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003158
2 2005140
3 200674
4 201072
5 200665
6 200556
7 201545
8 201043
9 201138
10 201237
11 201134
12 201228
13 201628
14 201127
15 201925
16 200924
17 197924
18 202022
19 201721
20 201021

About Mitsuhiro Okuda

Mitsuhiro Okuda is a scholar working on Biomedical Engineering, Materials Chemistry, Molecular Biology, Biomaterials and Electrical and Electronic Engineering, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (11 papers), Iron Metabolism and Disorders (9 papers), Advanced biosensing and bioanalysis techniques (9 papers), Iron oxide chemistry and applications (7 papers), Quantum Dots Synthesis And Properties (6 papers), Calcium Carbonate Crystallization and Inhibition (6 papers), Polymer Surface Interaction Studies (6 papers) and Collagen: Extraction and Characterization (5 papers). The work is most often cited by research in Biomaterials (311 citations), Surfaces, Coatings and Films (121 citations), Structural Biology (21 citations), Hematology (150 citations) and Biomedical Engineering (406 citations). Mitsuhiro Okuda has collaborated with scholars based in Japan, Spain and United Kingdom. Frequent co-authors include Ichiro Yamashita, Hideyuki Yoshimura, Kenji Iwahori, Motohiro Tagaya, Toshiyuki Ikoma, Nobutaka Hanagata, Masaki Takeguchi, W. Schwarzacher, Kornelius Zeth and Kazuaki Nishio. Their work appears in journals such as Japanese Journal of Applied Physics, Nanotechnology, Applied Physics Express, Crystal Growth & Design and Applied Physics Letters.

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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