Seiji Sakamoto
- Organic Chemistry top 5%
- Molecular Biology
- Inorganic Chemistry top 10%
- Materials Chemistry
- Cell Biology
- Co-authors
- Kazuaki KudoKengo AkagawaItaru HamachiHisakazu MiharaAkihiko UenoHirohíde MatsuoIkuo ObatayaMitsuo Ishikawa
- Topics
- Chemical Synthesis and Analysis (27 papers)Click Chemistry and Applications (10 papers)Hemoglobin structure and function (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Molecular Biology
- 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
- Molecular Biology 585
- Inorganic Chemistry 191
- Materials Chemistry 147
- Cell Biology 108
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 of co-authors of Seiji Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Sakamoto. A scholar is included among the top collaborators of Seiji Sakamoto 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 Seiji Sakamoto. Seiji Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 5 | |
| 3 | 13 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 31 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 61 | |
| 11 | 28 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 7 | |
| 15 | Nanoparticle formation of self-assembling two-α-helix peptide induced by heme-binding | 3 |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 26 | |
| 19 | A New Proteolytic Enzyme Having Milk Clotting Activity from Streptomyces sp. No. OS-1000 | 0 |
| 20 | 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) and Hemoglobin structure and function (9 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.