Satoshi Ugi

4.5k citations
111 papers · 3.7k · h-index 36

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 17
    • Protein Kinase Regulation and GTPase Signaling 17
    • Protein Tyrosine Phosphatases 12
    • Bariatric Surgery and Outcomes 9
    • Pancreatic function and diabetes 8

Satoshi Ugi

110 papers receiving 3.6k citations

Peers

Satoshi Ugi
Comparison fields: 5 of 114
  • Physiology 792
  • Nephrology 215
  • Endocrinology, Diabetes and Metabolism 445
  • Molecular Biology 1.8k
  • Biochemistry 176
Replace Yoshihiko Nishio with:
Yoshihiko Nishio Japan
Shokei Kim‐Mitsuyama Japan
Stefano Menini Italy
Carlos F. Sánchez‐Ferrer Spain
Pamela M. Martin United States
Muthuswamy Balasubramanyam India
Jan Galle Germany
Renee Leboeuf United States
Ki Wung Chung South Korea
Xue Du China
Satoshi Ugi relative to Yoshihiko Nishio Japan Yoshihiko Nishio's profile →
Citations per field
00.5×1.5×1.8×
Yoshihiko Nishio · 1×
Citations per year

Countries citing papers authored by Satoshi Ugi

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Ugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015275
2 2004199
3 2019167
4 1999143
5 2001114
6 2012114
7 201194
8 200285
9 200184
10 201283
11 201879
12 199577
13 199975
14 201372
15 200370
16 200270
17 201068
18 201466
19 201564
20 200659

About Satoshi Ugi

Satoshi Ugi is a scholar working on Molecular Biology, Surgery, Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 111 papers that have together received 3.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (17 papers), Protein Kinase Regulation and GTPase Signaling (17 papers), Adipose Tissue and Metabolism (12 papers), Protein Tyrosine Phosphatases (12 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Bariatric Surgery and Outcomes (9 papers), Diabetes Treatment and Management (9 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Physiology (792 citations), Nephrology (215 citations), Endocrinology, Diabetes and Metabolism (445 citations), Molecular Biology (1.8k citations) and Biochemistry (176 citations). Satoshi Ugi has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hiroshi Maegawa, Atsunori Kashiwagi, Katsutaro Morino, Jerrold M. Olefsky, Takeshi Imamura, Yoshihiko Nishio, Takeshi Yoshizaki, Osamu Sekine, Katsuya Egawa and Shinji Kume. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Diabetes Research and Clinical Practice, PLoS ONE and Diabetes.

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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