Yuichi Umezu

757 citations
33 papers · 608 · h-index 12

Impact in

Papers in

Yuichi Umezu

33 papers receiving 561 citations

Peers

Yuichi Umezu
Comparison fields: 5 of 91
  • Rehabilitation 140
  • Orthopedics and Sports Medicine 130
  • Physical Therapy, Sports Therapy and Rehabilitation 40
  • Complementary and alternative medicine 63
  • Psychiatry and Mental health 82
Replace J. S. Petrofsky with:
J. S. Petrofsky United States
Michael Laymon United States
Adam Fry United States
Anna Pedrinolla Italy
A. Hahn Australia
Carlos López-de–Celis Spain
Tom Gwinn Australia
J. Luke Pryor United States
M Crowe Ireland
Shuji Matsumoto Japan
Yuichi Umezu relative to J. S. Petrofsky United States J. S. Petrofsky's profile →
Citations per field
00.5×3.9×
J. S. Petrofsky · 1×
Citations per year

Countries citing papers authored by Yuichi Umezu

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Umezu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997119
2 200684
3 199152
4 200349
5 199839
6
Muscle training by means of combined electrical stimulation and volitional contraction.
200634
7 201331
8 200330
9 200319
10 201614
11 199914
12 199913
13 199111
14 20059
15 20219
16 19929
17 19939
18 20178
19 20067
20 20056

About Yuichi Umezu

Yuichi Umezu is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine, Pharmacology, Rehabilitation and Pathology and Forensic Medicine, having authored 33 papers that have together received 608 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (14 papers), Sports Performance and Training (6 papers), Musculoskeletal pain and rehabilitation (6 papers), Stroke Rehabilitation and Recovery (5 papers), Sports injuries and prevention (5 papers), Spinal Cord Injury Research (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Cerebral Palsy and Movement Disorders (3 papers). The work is most often cited by research in Rehabilitation (140 citations), Orthopedics and Sports Medicine (130 citations), Physical Therapy, Sports Therapy and Rehabilitation (40 citations), Complementary and alternative medicine (63 citations) and Psychiatry and Mental health (82 citations). Yuichi Umezu has collaborated with scholars based in Japan and United States. Frequent co-authors include Kenji Hachisuka, Naoto Shiba, Jeffrey R. Basford, Kensei Nagata, Hajime Ogata, Yoshihiko Tagawa, Fumihiro Tajima, Hiroo Matsuse, Takeshi Nago and Takashi Mizushima. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Cells Tissues Organs, Neuroscience Research, PM&R and BMC Neurology.

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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