Seiji Sakamoto
- Organic Chemistry top 5%
- Click Chemistry and Applications 10
- Inorganic Chemistry top 10%
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- Chemical Synthesis and Analysis 27
- DNA and Nucleic Acid Chemistry 8
- Receptor Mechanisms and Signaling 8
- Advanced biosensing and bioanalysis techniques 7
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- Hemoglobin structure and function 9
- Biophysics top 10%
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- Supramolecular Self-Assembly in Materials 9
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- Porphyrin and Phthalocyanine Chemistry 7
- Co-authors
- Kazuaki KudoKengo AkagawaItaru HamachiHisakazu MiharaAkihiko UenoHirohíde MatsuoIkuo ObatayaMitsuo Ishikawa
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- JapanUnited StatesArgentina
In The Last Decade
Seiji Sakamoto
87 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Organic Chemistry 598
- Inorganic Chemistry 191
- Molecular Biology 585
- Cell Biology 108
- Biophysics 33
Countries citing papers authored by Seiji Sakamoto
This map shows the geographic impact of Seiji Sakamoto'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 Seiji Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Sakamoto more than expected).
Fields of papers citing papers by Seiji Sakamoto
This network shows the impact of papers produced by Seiji Sakamoto. 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 Seiji Sakamoto. The network helps show where Seiji Sakamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seiji Sakamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 16 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 13 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 10 | |
| 6 | 2016 | 31 | |
| 7 | 2015 | 4 | |
| 8 | 2013 | 16 | |
| 9 | 2011 | 1 | |
| 10 | 2010 | 61 | |
| 11 | 2010 | 28 | |
| 12 | 2004 | 0 | |
| 13 | 2001 | 11 | |
| 14 | 2000 | 7 | |
| 15 | Nanoparticle formation of self-assembling two-α-helix peptide induced by heme-binding | 1999 | 3 |
| 16 | 1999 | 4 | |
| 17 | 1999 | 5 | |
| 18 | 1993 | 26 | |
| 19 | A New Proteolytic Enzyme Having Milk Clotting Activity from Streptomyces sp. No. OS-1000 | 1973 | 0 |
| 20 | 1961 | 1 |
About Seiji Sakamoto
Seiji Sakamoto is a scholar working on Organic Chemistry, Molecular Biology and Cell Biology, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (27 papers), Click Chemistry and Applications (10 papers), Hemoglobin structure and function (9 papers), Supramolecular Self-Assembly in Materials (9 papers), DNA and Nucleic Acid Chemistry (8 papers), Receptor Mechanisms and Signaling (8 papers), Porphyrin and Phthalocyanine Chemistry (7 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Organic Chemistry (598 citations), Inorganic Chemistry (191 citations) and Molecular Biology (585 citations). Seiji Sakamoto has collaborated with scholars based in Japan, United States and Argentina. Frequent co-authors include Kazuaki Kudo, Kengo Akagawa, Itaru Hamachi, Hisakazu Mihara, Akihiko Ueno, Hirohíde Matsuo, Ikuo Obataya, Mitsuo Ishikawa, Makoto Kumada and Sachiko Matsumura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Molecular Biology.
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.