Chiyoko Usui

1.0k citations
39 papers · 675 · h-index 15

Impact in

  • Physiology top 5%
    • Nutrition and Health in Aging
    • Adipose Tissue and Metabolism
    • Body Composition Measurement Techniques
    • Diet and metabolism studies
    • Physical Activity and Health

Papers in

Chiyoko Usui

34 papers receiving 666 citations

Peers

Chiyoko Usui
Comparison fields: 5 of 83
  • Physiology 359
  • Geriatrics and Gerontology 24
  • Rehabilitation 38
  • Orthopedics and Sports Medicine 35
  • Complementary and alternative medicine 34
Replace Roman Dvořák with:
Roman Dvořák United States
Eiichi Yoshimura Japan
Sung-Woo Kim South Korea
A. Burke Gurney United States
Camila de Moraes Brazil
Tim Church United States
Amy E. Mendham South Africa
L. van der Hoeven Netherlands
Giorgio Orlando United Kingdom
Lore Metz France
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Citations per field
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Citations per year

Countries citing papers authored by Chiyoko Usui

Since Specialization
Citations

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

Fields of papers citing papers by Chiyoko Usui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016110
2 201053
3 202051
4 201945
5 202137
6 200935
7 202235
8 201126
9 201923
10 200922
11 200920
12 201818
13 202115
14 201915
15 201315
16 202214
17 201814
18 201113
19 200811
20 200810

About Chiyoko Usui

Chiyoko Usui is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 39 papers that have together received 675 indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (8 papers), Nutrition and Health in Aging (8 papers), Obesity, Physical Activity, Diet (5 papers), Adipose Tissue and Metabolism (4 papers), Physical Activity and Health (4 papers), Diet and metabolism studies (4 papers), Muscle metabolism and nutrition (3 papers) and Nutritional Studies and Diet (3 papers). The work is most often cited by research in Physiology (359 citations), Geriatrics and Gerontology (24 citations), Rehabilitation (38 citations), Orthopedics and Sports Medicine (35 citations) and Complementary and alternative medicine (34 citations). Chiyoko Usui has collaborated with scholars based in Japan, Hungary and India. Frequent co-authors include Mitsuru Higuchi, Shizuo Sakamoto, Shigeho Tanaka, Katsuhiko Suzuki, Motohiko Miyachi, Koichiro Oka, Tomoko Aoyama, Takafumi Ando, Isao Muraoka and Kaori Ishii. Their work appears in journals such as Medicine & Science in Sports & Exercise, British Journal Of Nutrition, International Journal of Environmental Research and Public Health, Frontiers in Nutrition and European Journal of Clinical Nutrition.

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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