Daisuke Sugimoto

507 citations
30 papers · 337 · h-index 11

Impact in

Papers in

Daisuke Sugimoto

29 papers receiving 334 citations

Peers

Daisuke Sugimoto
Comparison fields: 5 of 65
  • Physiology 131
  • Endocrinology, Diabetes and Metabolism 55
  • Pharmacology 14
  • Epidemiology 44
  • Geriatrics and Gerontology 4
Replace Jinhua Yin with:
Jinhua Yin China
Lara Ferreira Paraíso Brazil
Sumit Bhagra United States
Mark P. P. Lyngbæk Denmark
Jana Malinčíková Czechia
Beverly G. Tchang United States
Janis Schierbauer Germany
Sara Ebrahimi Iran
Sandra Henríquez Chile
Sharonjeet Kaur India
Daisuke Sugimoto relative to Jinhua Yin China Jinhua Yin's profile →
Citations per field
00.5×1.5×2×2.4×
Jinhua Yin · 1×
Citations per year

Countries citing papers authored by Daisuke Sugimoto

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Sugimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202263
2 201934
3
Flexible foil exercise and shoulder internal and external rotation strength.
200830
4 202129
5 201820
6 201920
7 201020
8 202018
9 202217
10 202012
11 201911
12 20199
13 20218
14 20218
15 20246
16 20236
17 20244
18 20233
19 20213
20 20183

About Daisuke Sugimoto

Daisuke Sugimoto is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology and Cell Biology, having authored 30 papers that have together received 337 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Nutrition and Health in Aging (6 papers), Diet and metabolism studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Cardiovascular Disease and Adiposity (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Physiology (131 citations), Endocrinology, Diabetes and Metabolism (55 citations), Pharmacology (14 citations), Epidemiology (44 citations) and Geriatrics and Gerontology (4 citations). Daisuke Sugimoto has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Hirotaka Watada, Hideyoshi Kaga, Satoshi Kadowaki, Yuki Someya, Ryuzo Kawamori, Yoshifumi Tamura, PETER R. BLANPIED, Ruriko Suzuki, Shigeki Aoki and Hiroyuki Daida. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes, Scientific Reports, The Journal of Clinical Endocrinology & Metabolism and Journal of Cachexia Sarcopenia and Muscle.

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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