Jun Ueda

3.5k citations
223 papers · 2.8k · h-index 28

Impact in

Papers in

Jun Ueda

201 papers receiving 2.7k citations

Peers

Jun Ueda
Comparison fields: 5 of 132
  • Ophthalmology 449
  • Control and Systems Engineering 789
  • Biomedical Engineering 1.1k
  • Rehabilitation 153
  • Cognitive Neuroscience 359
Replace Cameron N. Riviere with:
Cameron N. Riviere United States
Wei Tech Ang Singapore
Kenji Inoue Japan
Wenwei Yu Japan
Leonardo S. Mattos Italy
Nabil Simaan United States
Ferdinando Rodriguez y Baena United Kingdom
Yuichi Kurita Japan
Jung Kim South Korea
Giovanni Magenes Italy
Jun Ueda relative to Cameron N. Riviere United States Cameron N. Riviere's profile →
Citations per field
00.5×4.8×
Cameron N. Riviere · 1×
Citations per year

Countries citing papers authored by Jun Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Distribution of myocilin and extracellular matrix components in the juxtacanalicular tissue of human eyes.
2002138
2 1998132
3 2009127
4 2010100
5 200683
6 201379
7 200067
8 200366
9 200863
10 201859
11 200557
12 200755
13 200951
14 201349
15 200148
16 200448
17 200145
18 201944
19
Protein interactions with myocilin.
200244
20 200436

About Jun Ueda

Jun Ueda is a scholar working on Biomedical Engineering, Control and Systems Engineering, Cognitive Neuroscience, Mechanical Engineering and Rehabilitation, having authored 223 papers that have together received 2.8k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (52 papers), Prosthetics and Rehabilitation Robotics (26 papers), Robot Manipulation and Learning (24 papers), Stroke Rehabilitation and Recovery (23 papers), Soft Robotics and Applications (21 papers), Motor Control and Adaptation (18 papers), Piezoelectric Actuators and Control (17 papers) and Teleoperation and Haptic Systems (16 papers). The work is most often cited by research in Ophthalmology (449 citations), Control and Systems Engineering (789 citations), Biomedical Engineering (1.1k citations), Rehabilitation (153 citations) and Cognitive Neuroscience (359 citations). Jun Ueda has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Tsukasa Ogasawara, Jianbo Yue, Kelly Wentz‐Hunter, H. Harry Asada, Yuichi Kurita, Minoru Shinohara, Ming Ding, T. Yoshikawa, Masahiro Kondo and Joshua Schultz. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Investigative Ophthalmology & Visual Science and Japanese Journal of Ophthalmology.

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.

Explore authors with similar magnitude of impact