Daisuke Sugimoto

473 total citations
29 papers, 288 citations indexed

About

Daisuke Sugimoto is a scholar working on Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daisuke Sugimoto has authored 29 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 10 papers in Epidemiology and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daisuke Sugimoto's work include Adipose Tissue and Metabolism (12 papers), Diet and metabolism studies (9 papers) and Nutrition and Health in Aging (9 papers). Daisuke Sugimoto is often cited by papers focused on Adipose Tissue and Metabolism (12 papers), Diet and metabolism studies (9 papers) and Nutrition and Health in Aging (9 papers). Daisuke Sugimoto collaborates with scholars based in Japan, Canada and United States. Daisuke Sugimoto's co-authors include Yoshifumi Tamura, Ryuzo Kawamori, Satoshi Kadowaki, Hirotaka Watada, Yuki Someya, Hideyoshi Kaga, Peter Blanpied, Ruriko Suzuki, Saori Kakehi and Hiroyuki Daida and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Daisuke Sugimoto

25 papers receiving 285 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daisuke Sugimoto Japan 10 151 87 64 51 50 29 288
Takuya Omura Japan 8 159 1.1× 44 0.5× 79 1.2× 41 0.8× 45 0.9× 31 355
Yasmin Algindan United Kingdom 7 171 1.1× 34 0.4× 28 0.4× 69 1.4× 36 0.7× 12 323
Bartłomiej K. Sołtysik Poland 9 120 0.8× 29 0.3× 24 0.4× 42 0.8× 43 0.9× 34 276
Emilia Frangos Switzerland 10 93 0.6× 72 0.8× 47 0.7× 24 0.5× 26 0.5× 27 325
María José Tapia Spain 10 104 0.7× 226 2.6× 33 0.5× 36 0.7× 23 0.5× 27 386
Anna Bonada Spain 8 224 1.5× 44 0.5× 52 0.8× 51 1.0× 22 0.4× 9 384
Marisol García‐Unciti Spain 8 295 2.0× 100 1.1× 85 1.3× 65 1.3× 39 0.8× 8 480
Lidia Cobos-Palacios Spain 9 70 0.5× 76 0.9× 37 0.6× 18 0.4× 28 0.6× 20 225
Cristina Abreu Spain 14 119 0.8× 268 3.1× 37 0.6× 44 0.9× 49 1.0× 32 440
Woori Na South Korea 13 189 1.3× 35 0.4× 48 0.8× 199 3.9× 35 0.7× 36 412

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-authorship network of co-authors of Daisuke Sugimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Sugimoto. A scholar is included among the top collaborators of Daisuke Sugimoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daisuke Sugimoto. Daisuke Sugimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kaga, Hideyoshi, Yuki Someya, Hiroki Tabata, et al.. (2024). Low Handgrip Strength (Possible Sarcopenia) With Insulin Resistance Is Associated With Type 2 Diabetes Mellitus. Journal of the Endocrine Society. 8(3). bvae016–bvae016. 6 indexed citations
2.
Kaga, Hideyoshi, Satoshi Kadowaki, Daisuke Sugimoto, et al.. (2024). Adipose tissue insulin resistance in young Japanese women is associated with metabolic abnormalities and dehydroepiandrosterone-sulfate. Frontiers in Endocrinology. 15. 1390778–1390778.
3.
Kadowaki, Satoshi, Yoshifumi Tamura, Daisuke Sugimoto, et al.. (2023). A Short-Term High-Fat Diet Worsens Insulin Sensitivity with Changes in Metabolic Parameters in Non-Obese Japanese Men. Journal of Clinical Medicine. 12(12). 4084–4084. 6 indexed citations
4.
Naito, Hitoshi, Hideyoshi Kaga, Yuki Someya, et al.. (2023). Fat Accumulation and Elevated Free Fatty Acid Are Associated With Age-Related Glucose Intolerance: Bunkyo Health Study. Journal of the Endocrine Society. 8(2). bvad164–bvad164. 2 indexed citations
5.
Kaga, Hideyoshi, Yoshifumi Tamura, Yuki Someya, et al.. (2022). Prediabetes is an independent risk factor for sarcopenia in older men, but not in older women: the Bunkyo Health Study. Journal of Cachexia Sarcopenia and Muscle. 13(6). 2835–2842. 13 indexed citations
6.
Someya, Yuki, Yoshifumi Tamura, Hideyoshi Kaga, et al.. (2022). Sarcopenic obesity is associated with cognitive impairment in community-dwelling older adults: The Bunkyo Health Study. Clinical Nutrition. 41(5). 1046–1051. 51 indexed citations
7.
Someya, Yuki, Yoshifumi Tamura, Hideyoshi Kaga, et al.. (2021). Insulin resistance and muscle weakness are synergistic risk factors for silent lacunar infarcts: the Bunkyo Health Study. Scientific Reports. 11(1). 21093–21093. 8 indexed citations
8.
9.
Tamura, Yoshifumi, Kageumi Takeno, Saori Kakehi, et al.. (2020). Both higher fitness level and higher current physical activity level may be required for intramyocellular lipid accumulation in non-athlete men. Scientific Reports. 10(1). 4102–4102.
10.
11.
Someya, Yuki, Yoshifumi Tamura, Kageumi Takeno, et al.. (2020). Decreased Muscle Strength of Knee Flexors is Associated with Impaired Muscle Insulin Sensitivity in Non-Diabetic Middle-Aged Japanese Male Subjects. Diabetes Therapy. 11(10). 2401–2410. 1 indexed citations
12.
Someya, Yuki, Yoshifumi Tamura, Hideyoshi Kaga, et al.. (2020). Reduced muscle strength of knee extensors is a risk factor for silent lacunar infarcts among Japanese elderly people: the Bunkyo Health Study. SHILAP Revista de lepidopterología. 5(3). 79–85. 1 indexed citations
13.
14.
Suzuki, Ruriko, Yoshifumi Tamura, Kageumi Takeno, et al.. (2019). Three days of a eucaloric, low-carbohydrate/high-fat diet increases insulin clearance in healthy non-obese Japanese men. Scientific Reports. 9(1). 3857–3857. 6 indexed citations
15.
Sugimoto, Daisuke, Yoshifumi Tamura, Kageumi Takeno, et al.. (2019). Clinical Features of Nonobese, Apparently Healthy, Japanese Men With Reduced Adipose Tissue Insulin Sensitivity. The Journal of Clinical Endocrinology & Metabolism. 104(6). 2325–2333. 32 indexed citations
16.
Kadowaki, Satoshi, Yoshifumi Tamura, Yuki Someya, et al.. (2019). Fatty Liver Has Stronger Association With Insulin Resistance Than Visceral Fat Accumulation in Nonobese Japanese Men. Journal of the Endocrine Society. 3(7). 1409–1416. 20 indexed citations
17.
Sugimoto, Daisuke, Yoshifumi Tamura, Hideyoshi Kaga, et al.. (2018). Clinical Significance of Insulin Sensitivity in Adipose Tissue in Apparently Healthy Nonobese Men. Diabetes. 67(Supplement_1). 1 indexed citations
18.
19.
Saito, Yoshiro, Noboru Yamamoto, Noriko Katori, et al.. (2010). Genetic Polymorphisms and Haplotypes of POR, Encoding Cytochrome P450 Oxidoreductase, in a Japanese Population. Drug Metabolism and Pharmacokinetics. 26(1). 107–116. 17 indexed citations
20.
Sugimoto, Daisuke & Peter Blanpied. (2008). Flexible foil exercise and shoulder internal and external rotation strength.. PubMed. 41(3). 280–5. 30 indexed citations

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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