Jun Ueda

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

Impact in

Papers in

Jun Ueda

199 papers receiving 2.7k citations

Peers

Jun Ueda
Comparison fields: 5 of 132
  • Ophthalmology 455
  • Control and Systems Engineering 795
  • Biomedical Engineering 1.1k
  • Rehabilitation 154
  • Cognitive Neuroscience 359
Replace Cameron N. Riviere with:
Cameron N. Riviere United States
Wei Tech Ang Singapore
Wenwei Yu Japan
Leonardo S. Mattos Italy
Ferdinando Rodriguez y Baena United Kingdom
Yuichi Kurita Japan
Jongwoo Lee United States
Jung Won Kim South Korea
Lyndon da Cruz United Kingdom
Lei Yang China
Jun Ueda relative to Cameron N. Riviere United States Cameron N. Riviere's profile →
Citations per field
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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 221 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.
2002137
2 1998131
3 2009127
4 2010102
5 200684
6 201378
7 200068
8 200366
9 200863
10 201859
11 200558
12 200756
13 200951
14 201349
15 200148
16 200148
17 200448
18
Protein interactions with myocilin.
200244
19 201944
20 200538

About Jun Ueda

Jun Ueda is a scholar working on Control and Systems Engineering, Biomedical Engineering, Rehabilitation, Cognitive Neuroscience and Ophthalmology, having authored 221 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 (455 citations), Control and Systems Engineering (795 citations), Biomedical Engineering (1.1k citations), Rehabilitation (154 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, Takeharu 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, Japanese Journal of Ophthalmology and Investigative Ophthalmology & Visual Science.

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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