Daisuke Sato

805 citations
32 papers · 640 · h-index 16

Impact in

Papers in

Daisuke Sato

31 papers receiving 628 citations

Peers

Daisuke Sato
Comparison fields: 5 of 87
  • Physiology 190
  • Endocrinology, Diabetes and Metabolism 94
  • Rehabilitation 24
  • Molecular Biology 263
  • Nephrology 25
Replace Joo Young Huh with:
Joo Young Huh South Korea
Ildefonso Roldán Torres Spain
Jiangying Kuang China
Ivan Rubio‐Gayosso Mexico
Suzanne E. Clark United States
Olha Zhenyukh Spain
Ezel Uslu Türkiye
Mai‐Ann Duess United States
Agata Schramm‐Luc Poland
Rami Al Batran Canada
Daisuke Sato relative to Joo Young Huh South Korea Joo Young Huh's profile →
Citations per field
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Joo Young Huh · 1×
Citations per year

Countries citing papers authored by Daisuke Sato

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019162
2 201878
3 201849
4 200742
5 201333
6 201828
7 201626
8 201223
9 201422
10 201321
11 201420
12 202219
13 201717
14 201617
15 201715
16 201315
17
The root bark of Paeonia moutan is a potential anticancer agent in human oral squamous cell carcinoma cells.
20129
18 20158
19 20157
20 20196

About Daisuke Sato

Daisuke Sato is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Physiology and Pharmacology, having authored 32 papers that have together received 640 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Metabolism, Diabetes, and Cancer (6 papers), Diet and metabolism studies (4 papers), Reproductive Physiology in Livestock (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Pharmacology and Obesity Treatment (2 papers), Reproductive System and Pregnancy (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Physiology (190 citations), Endocrinology, Diabetes and Metabolism (94 citations), Rehabilitation (24 citations), Molecular Biology (263 citations) and Nephrology (25 citations). Daisuke Sato has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Katsutaro Morino, Hiroshi Maegawa, Satoshi Ugi, Natsuko Ohashi, Shogo Ida, Mengistu Lemecha, Fumiyuki Nakagawa, Yukihiro Fujita, Osamu Sekine and Takuya Okamoto. Their work appears in journals such as Biochemical and Biophysical Research Communications, Tetrahedron Letters, Journal of Diabetes Investigation, Reproductive Toxicology and Biology of Reproduction.

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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