Motoki Sudo

26 papers receiving 348 citations

Peers

Motoki Sudo
Comparison fields: 5 of 53
  • Physical Therapy, Sports Therapy and Rehabilitation 95
  • Geriatrics and Gerontology 40
  • Physiology 145
  • Rehabilitation 17
  • Computer Vision and Pattern Recognition 26
Replace Yoshifumi Niki with:
Yoshifumi Niki Japan
Takahiko Nishijima Japan
G. Ruben H. Regterschot Netherlands
Jorge Flández Spain
Cenyi Wang China
Peter C. Coyle United States
Kathryn R. Zalewski United States
Lloyd L. Y. Chan Australia
Aming Lu China
Timothy B. Davies Australia
Motoki Sudo relative to Yoshifumi Niki Japan Yoshifumi Niki's profile →
Citations per field
00.5×2×3×3.5×
Yoshifumi Niki · 1×
Citations per year

Countries citing papers authored by Motoki Sudo

Since Specialization
Citations

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

Fields of papers citing papers by Motoki Sudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012140
2 2019109
3 202215
4 202314
5 202113
6 202311
7 20228
8 20137
9 20186
10 20225
11 20234
12 20213
13 20243
14 20243
15 20152
16 20212
17 20222
18 20242
19 20252
20
Changes in Walking Styles in the Elderly after the Presentation of Walking Patterns
20151

About Motoki Sudo

Motoki Sudo is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Geriatrics and Gerontology, Physiology, Biomedical Engineering and Developmental and Educational Psychology, having authored 28 papers that have together received 358 indexed citations. Recurring topics across this work include Balance, Gait, and Falls Prevention (10 papers), Physical Activity and Health (8 papers), Frailty in Older Adults (5 papers), Lower Extremity Biomechanics and Pathologies (3 papers), Dementia and Cognitive Impairment Research (2 papers), Nutrition and Health in Aging (2 papers), Children's Physical and Motor Development (2 papers) and Aging, Health, and Disability (2 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (95 citations), Geriatrics and Gerontology (40 citations), Physiology (145 citations), Rehabilitation (17 citations) and Computer Vision and Pattern Recognition (26 citations). Motoki Sudo has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Yukari Yamashiro, Yoshifumi Niki, Hiroyuki Shimada, Sangyoon Lee, Hideyo Yoshida, Takao Suzuki, Ichiro Tokimitsu, Hunkyung Kim, Narumi Kojima and Kyoko Saito. Their work appears in journals such as Scientific Reports, Journal of the American Medical Directors Association, Geriatrics and gerontology international, Journal of Cachexia Sarcopenia and Muscle and Journal of Physical Activity and Health.

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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