Satoshi Nagaoka
- Molecular Biology top 10%
- Surgery top 10%
- Nutrition and Dietetics top 2%
- Food Science top 2%
- Physiology top 10%
- Co-authors
- Yoshihiro KanamaruTakako AwanoTsuyoshi GotoKouhei YamauchiTamotsu KuwataKazuhiro YamamotoMasaya ShimadaAtsushi Nakamura
- Topics
- Cholesterol and Lipid Metabolism (27 papers)Protein Hydrolysis and Bioactive Peptides (19 papers)Phytoestrogen effects and research (18 papers)
In The Last Decade
Satoshi Nagaoka
98 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.2k
- Surgery 473
- Nutrition and Dietetics 443
- Food Science 393
- Physiology 325
Countries citing papers authored by Satoshi Nagaoka
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 81 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 63 | |
| 8 | 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. | 1 |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 15 | |
| 12 | 60 | |
| 13 | 303 | |
| 14 | 2 | |
| 15 | 53 | |
| 16 | 17 | |
| 17 | Ultrafiltration and gel filtration methods for separation of immunoglobulins with secretory component from bovine milk | 3 |
| 18 | 15 | |
| 19 | 12 | |
| 20 | 1 |
About Satoshi Nagaoka
Satoshi Nagaoka is a scholar working on Nutrition and Dietetics, Pathology and Forensic Medicine and Biochemistry, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (27 papers), Protein Hydrolysis and Bioactive Peptides (19 papers) and Phytoestrogen effects and research (18 papers). The work is most often cited by research in Nutrition and Dietetics (443 citations), Biochemistry (167 citations) and Food Science (393 citations). Satoshi Nagaoka has collaborated with scholars based in Japan, Singapore and Egypt. Frequent co-authors include Yoshihiro Kanamaru, Takako Awano, Tsuyoshi Goto, Kouhei Yamauchi, Tamotsu Kuwata, Kazuhiro Yamamoto, Masaya Shimada, Atsushi Nakamura, Emiko Yanase and Toshimitsu Kato. Their work appears in journals such as PLoS ONE, Macromolecules and Journal of Agricultural and Food Chemistry.
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.