Satoshi Endo

5.1k citations
246 papers · 4.0k · h-index 35

Impact in

  • Cell Biology top 0.5%
    • Aldose Reductase and Taurine
  • Neurology top 2%
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments

Papers in

Satoshi Endo

232 papers receiving 3.9k citations

Peers

Satoshi Endo
Comparison fields: 5 of 145
  • Cell Biology 1.3k
  • Neurology 374
  • Pharmacology 464
  • Pediatrics, Perinatology and Child Health 521
  • Cancer Research 384
Replace Toshiyuki Matsunaga with:
Toshiyuki Matsunaga Japan
Kota V. Ramana United States
Akira Ikari Japan
G. Bhanuprakash Reddy India
Young‐Nam Cha South Korea
Duan‐Fang Liao China
Anna S. Gukovskaya United States
Dean J. Tuma United States
Zhenzhou Jiang China
Gabriella Leonarduzzi Italy
Satoshi Endo relative to Toshiyuki Matsunaga Japan Toshiyuki Matsunaga's profile →
Citations per field
00.5×1.5×
Toshiyuki Matsunaga · 1×
Citations per year

Countries citing papers authored by Satoshi Endo

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Endo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200993
2 201286
3 199680
4 201579
5 201278
6 200173
7 201772
8 201471
9 200771
10 201066
11 201863
12 201060
13 199659
14 201658
15 201156
16 201155
17 200954
18 201154
19 202153
20 201651

About Satoshi Endo

Satoshi Endo is a scholar working on Cell Biology, Molecular Biology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Surgery, having authored 246 papers that have together received 4.0k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (94 papers), Prenatal Substance Exposure Effects (45 papers), Heme Oxygenase-1 and Carbon Monoxide (34 papers), Barrier Structure and Function Studies (30 papers), Hormonal Regulation and Hypertension (17 papers), Hormonal and reproductive studies (16 papers), Biochemical effects in animals (15 papers) and Cannabis and Cannabinoid Research (14 papers). The work is most often cited by research in Cell Biology (1.3k citations), Neurology (374 citations), Pharmacology (464 citations), Pediatrics, Perinatology and Child Health (521 citations) and Cancer Research (384 citations). Satoshi Endo has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Toshiyuki Matsunaga, Akira Hara, Ossama El‐Kabbani, Akira Ikari, Midori Soda, Kazuo Tajima, K Inada, Y Yamada, Yukio Kitade and Hai-Tao Zhao. Their work appears in journals such as Chemico-Biological Interactions, Archives of Biochemistry and Biophysics, Biological and Pharmaceutical Bulletin, The Journal of Biochemistry and Scientific Reports.

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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