Satoshi Hirako

630 total citations
35 papers, 436 citations indexed

About

Satoshi Hirako is a scholar working on Endocrine and Autonomic Systems, Surgery and Physiology. According to data from OpenAlex, Satoshi Hirako has authored 35 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrine and Autonomic Systems, 11 papers in Surgery and 11 papers in Physiology. Recurrent topics in Satoshi Hirako's work include Regulation of Appetite and Obesity (12 papers), Adipose Tissue and Metabolism (10 papers) and Neuropeptides and Animal Physiology (10 papers). Satoshi Hirako is often cited by papers focused on Regulation of Appetite and Obesity (12 papers), Adipose Tissue and Metabolism (10 papers) and Neuropeptides and Animal Physiology (10 papers). Satoshi Hirako collaborates with scholars based in Japan, France and Netherlands. Satoshi Hirako's co-authors include Seiji Shioda, Fumiko Takenoya, Nobuhiro Wada, Haruaki Kageyama, Akiyo Matsumoto, Hyounju Kim, Hiroshige Chiba, Tetsuo Ogawa, Shuji Inoue and Yoshihiro Wakayama and has published in prestigious journals such as Nature Communications, Diabetes and Journal of Agricultural and Food Chemistry.

In The Last Decade

Satoshi Hirako

32 papers receiving 431 citations

Peers

Satoshi Hirako

EAS

PHYSI

EPIDE

Chunmin C. Lo United States

Elizabeth Zieliński United States

Tomasz Brzozowski Poland

Rachel M. Mayers United Kingdom

Michalina Kot Poland

Martina Holubová Czechia

Katarzyna Nawrot‐Porąbka Poland

Nika Filatova United States

Jun Namkung South Korea

Dominique Sabourault France

Chunmin C. Lo United States

Satoshi Hirako

125 ×0.7

EAS

175 ×1.3

PHYSI

158 ×1.4

79 ×0.9

102 ×1.2

EPIDE

Citations per year, relative to Satoshi Hirako Satoshi Hirako (= 1×) peers Chunmin C. Lo

Countries citing papers authored by Satoshi Hirako

Since Specialization

Citations

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

Fields of papers citing papers by Satoshi Hirako

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Hirako

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Hirako. A scholar is included among the top collaborators of Satoshi Hirako 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 Satoshi Hirako. Satoshi Hirako is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shibato, Junko, Fumiko Takenoya, Ai Kimura, et al.. (2024). DNA Microarray and Bioinformatic Analysis Reveals the Potential of Whale Oil in Enhancing Hair Growth in a C57BL/6 Mice Dorsal Skin Model. Genes. 15(5). 627–627.

Hirako, Satoshi, et al.. (2024). Dietary coconut oil lowered circulating fetuin-A levels and hepatic expression of fetuin-A in KK/TaJcl mice. Journal of Clinical Biochemistry and Nutrition. 76(2). 131–138. 1 indexed citations

Hirako, Satoshi, et al.. (2024). Fish oil consumption prevents hepatic lipid accumulation induced by high-cholesterol feeding in obese KK mice. Biomedical Research. 45(1). 33–43.

Hirako, Satoshi, Takahiro Hirabayashi, Junko Shibato, et al.. (2023). Docosapentaenoic acid-rich oil lowers plasma glucose and lipids in a mouse model of diabetes and mild obesity. Nutrition Research. 118. 128–136. 3 indexed citations

Hirako, Satoshi, et al.. (2023). Fish oil-derived n-3 polyunsaturated fatty acids downregulate aquaporin 9 protein expression of liver and white adipose tissues in diabetic KK mice and 3T3-L1 adipocytes. The Journal of Nutritional Biochemistry. 124. 109514–109514. 2 indexed citations

Miura, Ayako, Yuichiro Mita, Satoshi Hirako, et al.. (2023). The NERP-4–SNAT2 axis regulates pancreatic β-cell maintenance and function. Nature Communications. 14(1). 8158–8158. 2 indexed citations

Hirako, Satoshi, Yoshihiro Wakayama, Hyounju Kim, et al.. (2023). Association of Aquaporin 7 and 9 with Obesity and Fatty Liver in db/db Mice. ZOOLOGICAL SCIENCE. 40(6). 455–462. 3 indexed citations

Takenoya, Fumiko, Junko Shibato, Michio Yamashita, et al.. (2023). Transcriptomic (DNA Microarray) and Metabolome (LC-TOF-MS) Analyses of the Liver in High-Fat Diet Mice after Intranasal Administration of GALP (Galanin-like Peptide). International Journal of Molecular Sciences. 24(21). 15825–15825. 2 indexed citations

Kim, Hyounju, et al.. (2018). Benefits of combination low-dose pioglitazone plus fish oil on aged type 2 diabetes mice. Journal of Food and Drug Analysis. 26(4). 1265–1274. 6 indexed citations

10.

Kageyama, Haruaki, Satoshi Hirako, Nobuhiro Wada, et al.. (2016). Anti-obesity effect of intranasal administration of galanin-like peptide (GALP) in obese mice. Scientific Reports. 6(1). 28200–28200. 21 indexed citations

11.

Kim, Hyounju, et al.. (2016). Fish oil and fenofibrate inhibit pancreatic islet hypertrophy, and improve glucose and lipid metabolic dysfuntions with different ways in diabetic KK mice. Obesity Research & Clinical Practice. 12(1). 29–38. 7 indexed citations

12.

Hirako, Satoshi, Yoshihiro Wakayama, Hyounju Kim, et al.. (2015). The relationship between aquaglyceroporin expression and development of fatty liver in diet-induced obesity and ob/ob mice. Obesity Research & Clinical Practice. 10(6). 710–718. 17 indexed citations

13.

Watanabe, Jun, Minako Matsumoto, Haruaki Kageyama, et al.. (2015). Ghrelin suppresses proliferation of fetal neural progenitor cells, and induces their differentiation into neurons. Peptides. 69. 40–46. 6 indexed citations

14.

Wada, Nobuhiro, et al.. (2014). Leptin and its receptors. Journal of Chemical Neuroanatomy. 61-62. 191–199. 108 indexed citations

15.

Hirako, Satoshi, et al.. (2013). Fish oil prevents excessive hepatic lipid accumulation without inducing oxidative stress. Prostaglandins Leukotrienes and Essential Fatty Acids. 88(5). 365–371. 7 indexed citations

16.

Itô, Kazuo, Haruaki Kageyama, Satoshi Hirako, et al.. (2013). Interactive effect of galanin-like peptide (GALP) and spontaneous exercise on energy metabolism. Peptides. 49. 109–116. 14 indexed citations

17.

Takenoya, Fumiko, Haruaki Kageyama, Satoshi Hirako, et al.. (2012). Neuropeptide W. Frontiers in Endocrinology. 3. 171–171. 12 indexed citations

18.

Arai, Takeshi, et al.. (2012). Effects of dietary fat energy restriction and fish oil feeding on hepatic metabolic abnormalities and insulin resistance in KK mice with high-fat diet-induced obesity. The Journal of Nutritional Biochemistry. 24(1). 267–273. 11 indexed citations

19.

Kageyama, Haruaki, Fumiko Takenoya, Satoshi Hirako, et al.. (2012). Neuronal circuits involving neuropeptide Y in hypothalamic arcuate nucleus-mediated feeding regulation. Neuropeptides. 46(6). 285–289. 44 indexed citations

20.

Hirako, Satoshi, et al.. (2009). Effect of concomitantly used fish oil and cholesterol on lipid metabolism. The Journal of Nutritional Biochemistry. 21(7). 573–579. 16 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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