Satoshi Usuki

49 papers receiving 664 citations

Peers

Satoshi Usuki
Comparison fields: 5 of 70
  • Reproductive Medicine 308
  • Pharmacology 70
  • Obstetrics and Gynecology 56
  • Endocrinology, Diabetes and Metabolism 115
  • Endocrine and Autonomic Systems 35
Replace Francis L. Bellino with:
Francis L. Bellino United States
Martha F. Gimeno Argentina
Yasuhiko Kamada Japan
Mariana Farina Argentina
V. G. Foglia Argentina
Gary T. Campbell United States
Karla Saner United States
Elisa Cebral Argentina
M Ježová Slovakia
Satoshi Usuki relative to Francis L. Bellino United States Francis L. Bellino's profile →
Citations per field
00.5×5.8×
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Citations per year

Countries citing papers authored by Satoshi Usuki

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Usuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003253
2 198751
3 200233
4 199932
5 198730
6 199524
7 199117
8 199216
9 199114
10 199113
11 198712
12 199111
13 198711
14 199110
15 199010
16 198610
17 20018
18 19838
19 19888
20 20028

About Satoshi Usuki

Satoshi Usuki is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 53 papers that have together received 693 indexed citations. Recurring topics across this work include Phytoestrogen effects and research (9 papers), Reproductive System and Pregnancy (6 papers), Renin-Angiotensin System Studies (5 papers), Hormonal Regulation and Hypertension (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Hypothalamic control of reproductive hormones (3 papers), Medicinal Plant Pharmacodynamics Research (3 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Reproductive Medicine (308 citations), Pharmacology (70 citations), Obstetrics and Gynecology (56 citations), Endocrinology, Diabetes and Metabolism (115 citations) and Endocrine and Autonomic Systems (35 citations). Satoshi Usuki has collaborated with scholars based in Japan and United States. Frequent co-authors include Masahiko Fujino, Hirokazu Matsumoto, Yoshihiro Takatsu, Tetsuya Ohtaki, Chieko Kitada, Yasuko Horikoshi, Kazuo Murakami, Hitoshi Miyazaki, Akiyoshi Fukamizu and Seong-Jin Kim. Their work appears in journals such as The American Journal of Chinese Medicine, Journal of Cardiovascular Pharmacology, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics and Chemical and Pharmaceutical Bulletin.

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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