Mitsuhiro Okuda

49 papers receiving 1.2k citations

Peers

Mitsuhiro Okuda
Comparison fields: 5 of 104
  • Biomaterials 336
  • Surfaces, Coatings and Films 127
  • Structural Biology 22
  • Hematology 153
  • Biomedical Engineering 432
Replace Hideyuki Yoshimura with:
Hideyuki Yoshimura Japan
Kim K. W. Wong United Kingdom
Joong Hwan Bahng United States
Kenji Iwahori Japan
Guillaume Wang France
G. Poletti Italy
Shigeo Yoshii Japan
O. I. Kasyutich United Kingdom
Wayne Shenton United Kingdom
Emin Oroudjev United States
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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003165
2 2005144
3 201079
4 200675
5 200667
6 200558
7 201046
8 201545
9 201241
10 201138
11 201135
12 201130
13 201930
14 201630
15 201229
16 200926
17 197925
18 202024
19 201022
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 51 papers that have together received 1.3k 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), Calcium Carbonate Crystallization and Inhibition (6 papers), Polymer Surface Interaction Studies (6 papers), Quantum Dots Synthesis And Properties (6 papers) and Collagen: Extraction and Characterization (5 papers). The work is most often cited by research in Biomaterials (336 citations), Surfaces, Coatings and Films (127 citations), Structural Biology (22 citations), Hematology (153 citations) and Biomedical Engineering (432 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, Nobutaka Hanagata, Toshiyuki Ikoma, Masaki Takeguchi, W. Schwarzacher, Kazuaki Nishio and Kornelius Zeth. Their work appears in journals such as Nanotechnology, Japanese Journal of Applied Physics, Applied Physics Express, Applied Physics Letters and Microscopy and Microanalysis.

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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