Satoshi Nagaoka

2.9k total citations
103 papers, 2.3k citations indexed

About

Satoshi Nagaoka is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Satoshi Nagaoka has authored 103 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 34 papers in Surgery and 23 papers in Pathology and Forensic Medicine. Recurrent topics in Satoshi Nagaoka's work include Cholesterol and Lipid Metabolism (27 papers), Protein Hydrolysis and Bioactive Peptides (19 papers) and Phytoestrogen effects and research (18 papers). Satoshi Nagaoka is often cited by papers focused on Cholesterol and Lipid Metabolism (27 papers), Protein Hydrolysis and Bioactive Peptides (19 papers) and Phytoestrogen effects and research (18 papers). Satoshi Nagaoka collaborates with scholars based in Japan, Singapore and Egypt. Satoshi Nagaoka's co-authors include Yoshihiro Kanamaru, Takako Awano, Tsuyoshi Goto, Tamotsu Kuwata, Kouhei Yamauchi, Kazuhiro Yamamoto, Masaya Shimada, Atsushi Nakamura, Emiko Yanase and Tomohiro Hirahashi and has published in prestigious journals such as PLoS ONE, Macromolecules and Journal of Agricultural and Food Chemistry.

In The Last Decade

Satoshi Nagaoka

98 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Satoshi Nagaoka Japan 26 1.2k 473 443 393 325 103 2.3k
Francine Gossé France 27 1.2k 1.0× 244 0.5× 237 0.5× 363 0.9× 192 0.6× 67 2.5k
Raúl Beltrán‐Debón Spain 31 835 0.7× 242 0.5× 307 0.7× 192 0.5× 285 0.9× 111 3.1k
Shambhunath Bose South Korea 26 1.3k 1.1× 69 0.1× 201 0.5× 349 0.9× 475 1.5× 94 2.3k
Juan Antonio Giménez‐Bastida Spain 31 981 0.8× 102 0.2× 1.1k 2.5× 602 1.5× 250 0.8× 75 3.1k
Mun‐Chual Rho South Korea 32 1.5k 1.3× 119 0.3× 123 0.3× 257 0.7× 159 0.5× 139 3.3k
Sabine Kuntz Germany 20 673 0.6× 75 0.2× 402 0.9× 155 0.4× 117 0.4× 35 1.7k
Neil R. Pumford United States 37 774 0.7× 81 0.2× 183 0.4× 420 1.1× 279 0.9× 78 4.0k
Yi Ding China 28 1.9k 1.6× 111 0.2× 184 0.4× 88 0.2× 117 0.4× 99 3.4k
Gérard Pieroni France 25 1.2k 1.0× 338 0.7× 323 0.7× 131 0.3× 323 1.0× 45 1.9k
J. Winter United States 20 550 0.5× 109 0.2× 165 0.4× 257 0.7× 82 0.3× 49 1.4k

Countries citing papers authored by Satoshi Nagaoka

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Nagaoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Nagaoka

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

All Works

20 of 20 papers shown
1.
Nagaoka, Satoshi, et al.. (2024). Nano‐encapsulation of epigallocatechin gallate using starch nanoparticles: Characterization and insights on in vitro micellar cholesterol solubility. Journal of Food Science. 89(9). 5701–5711. 8 indexed citations
2.
Nagaoka, Satoshi, et al.. (2023). Pentapeptide IIAEK ameliorates cholesterol metabolism via the suppression of intestinal cholesterol absorption in mice. Bioscience Biotechnology and Biochemistry. 87(11). 1345–1353. 2 indexed citations
3.
Yamamoto, Mako, et al.. (2022). The physiological blood concentration of phenylalanine-proline can ameliorate cholesterol metabolism in HepG2 cells. Bioscience Biotechnology and Biochemistry. 87(1). 90–98. 1 indexed citations
4.
Hirota, Masaki, et al.. (2021). A Case of Sigmoid Colon Cancer with a Pulmonary and a Liver Abscess. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 82(1). 145–150.
5.
Nagaoka, Satoshi, et al.. (2020). Identification of peptides in blood following oral administration of β-conglycinin to Wistar rats. Food Chemistry. 341(Pt 1). 128197–128197. 8 indexed citations
6.
Tanaka, Yuma, et al.. (2019). Ellagic acid affects mRNA expression levels of genes that regulate cholesterol metabolism in HepG2 cells. Bioscience Biotechnology and Biochemistry. 83(5). 952–959. 22 indexed citations
7.
8.
Nagaoka, Satoshi, et al.. (2019). Molecular Mechanism by Which Tea Catechins Decrease the Micellar Solubility of Cholesterol. Journal of Agricultural and Food Chemistry. 67(25). 7128–7135. 14 indexed citations
9.
Maekawa, Tomohiro, Shinji Takamatsu, Tomoya Fukuoka, et al.. (2018). Possible involvement of Enterococcus infection in the pathogenesis of chronic pancreatitis and cancer. Biochemical and Biophysical Research Communications. 506(4). 962–969. 81 indexed citations
10.
11.
Nagaoka, Satoshi, et al.. (2010). Exhaustive analysis of peptides derived from soybean protein with bile acids binding ability and efficient modification of VAWWMY activity by use of the peptide array.. 13. 90–95. 1 indexed citations
12.
Nishio, Motohiro, et al.. (2009). How to make use of patent information in business : (1) Patent Search Portal Site. Journal of Information Processing and Management. 52(6). 343–350. 1 indexed citations
13.
Kitazawa, Yoshihisa & Satoshi Nagaoka. (2008). Green-Schwarz superstring from type IIB matrix model. Physical review. D. Particles, fields, gravitation, and cosmology. 77(2). 4 indexed citations
14.
Suido, Hirohisa, et al.. (2002). Serum Cholesterol Lowering Effects of Broccoli on Rats.. Nippon Eiyo Shokuryo Gakkaishi. 55(5). 275–280. 3 indexed citations
15.
Yamamoto, Kazuhiro, et al.. (1999). Cholesterol-Lowering Effects of Isolated Soybean Protein Hydrolyzate with Bound Phospholipids in Rats.. Nippon Eiyo Shokuryo Gakkaishi. 52(3). 135–145. 2 indexed citations
16.
Kanamaru, Yoshihiro, Satoru Ikeda, Tetsuo Kaneko, et al.. (1998). A Monoclonal Antibody That Recognizes a Common Carbohydrate Epitope Shared by Various Glycoproteins in Human Secretions. Biochemical and Biophysical Research Communications. 249(3). 618–623. 4 indexed citations
17.
Nagaoka, Satoshi. (1996). Studies on Regulation of Cholesterol Metabolism Induced by Dietary Food Constituents or Xenobiotics.. Nippon Eiyo Shokuryo Gakkaishi. 49(6). 303–313. 17 indexed citations
18.
Nagaoka, Satoshi, et al.. (1993). Ultrafiltration and gel filtration methods for separation of immunoglobulins with secretory component from bovine milk. Milk science international/Milchwissenschaft. 48(5). 247–251. 3 indexed citations
19.
Ikada, Yoshito, Hiroo Iwata, & Satoshi Nagaoka. (1977). Chain Transfer in Radical Polymerizations and End Group Content of Resultant Polymers. Macromolecules. 10(6). 1364–1371. 22 indexed citations
20.
Ozawa, T., et al.. (1955). Studies on New Utilizations of α-Aceto-γ-butyrolactone. II. YAKUGAKU ZASSHI. 75(11). 1407–1410. 3 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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