Jun Okamoto

784 citations
64 papers · 531 · h-index 13

Impact in

Papers in

    • Soft Robotics and Applications 13
    • Ultrasound and Hyperthermia Applications 6
    • Anatomy and Medical Technology 5
    • Prosthetics and Rehabilitation Robotics 5
    • Nanoplatforms for cancer theranostics 4
    • Surgical Simulation and Training 5
    • Total Knee Arthroplasty Outcomes 5

Jun Okamoto

60 papers receiving 518 citations

Peers

Jun Okamoto
Comparison fields: 5 of 100
  • Biomedical Engineering 250
  • Radiology, Nuclear Medicine and Imaging 115
  • Cognitive Neuroscience 81
  • Biomaterials 42
  • Otorhinolaryngology 14
Replace Balasundar I. Raju with:
Balasundar I. Raju United States
Thomas Klenzner Germany
Zurab Machaidze United States
Grzegorz Soza Germany
Sanju Lama Canada
Adrian Andronache Luxembourg
Melanie Bauer Switzerland
Simon Chatelin France
P.A.J. Ackermans Netherlands
Nobuyuki Nakajima Japan
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Citations per field
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Balasundar I. Raju · 1×
Citations per year

Countries citing papers authored by Jun Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200383
2 202142
3 201937
4 200634
5 201729
6 200527
7 201726
8 201821
9 200620
10 201917
11 201514
12 200613
13 202012
14 201112
15 201811
16 20029
17 20218
18 20238
19 20068
20 20127

About Jun Okamoto

Jun Okamoto is a scholar working on Biomedical Engineering, Surgery, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 64 papers that have together received 531 indexed citations. Recurring topics across this work include Soft Robotics and Applications (13 papers), Advanced MRI Techniques and Applications (6 papers), Ultrasound and Hyperthermia Applications (6 papers), Anatomy and Medical Technology (5 papers), Surgical Simulation and Training (5 papers), Prosthetics and Rehabilitation Robotics (5 papers), Total Knee Arthroplasty Outcomes (5 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Biomedical Engineering (250 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Cognitive Neuroscience (81 citations), Biomaterials (42 citations) and Otorhinolaryngology (14 citations). Jun Okamoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masakatsu G. Fujie, Yoshihiro Muragaki, Yo Kobayashi, Ken Masamune, Hiroshi Iseki, Takashi Ohnishi, Masaru Yarita, Kimitaka Anami, Fumiko Tanaka and Osamu Saitoh. Their work appears in journals such as Neurologia medico-chirurgica, International Journal of Computer Assisted Radiology and Surgery, Frontiers in Pharmacology, Journal of X-Ray Science and Technology and World Neurosurgery.

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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