Sachiko Kamakura
- Molecular Biology top 10%
- Cell Biology top 5%
- Immunology top 10%
- Oncology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Tetsuo MoriguchiEisuke NishidaHideki SumimotoNorihisa MasuyamaKoji OishiMasato NakafukuTakeshi YoshimatsuYukiko Gotoh
- Topics
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)Cellular transport and secretion (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Sachiko Kamakura
32 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.2k
- Cell Biology 338
- Immunology 261
- Oncology 194
- Cellular and Molecular Neuroscience 173
Countries citing papers authored by Sachiko Kamakura
This map shows the geographic impact of Sachiko Kamakura'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 Sachiko Kamakura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sachiko Kamakura more than expected).
Fields of papers citing papers by Sachiko Kamakura
This network shows the impact of papers produced by Sachiko Kamakura. 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 Sachiko Kamakura. The network helps show where Sachiko Kamakura may publish in the future.
Co-authorship network of co-authors of Sachiko Kamakura
This figure shows the co-authorship network connecting the top 25 collaborators of Sachiko Kamakura. A scholar is included among the top collaborators of Sachiko Kamakura 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 Sachiko Kamakura. Sachiko Kamakura 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 | 6 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 62 | |
| 10 | 15 | |
| 11 | 35 | |
| 12 | 19 | |
| 13 | 54 | |
| 14 | 25 | |
| 15 | 10 | |
| 16 | 76 | |
| 17 | 344 | |
| 18 | 122 | |
| 19 | 462 | |
| 20 | Activation of the Protein Kinase ERK5/BMK1 by Receptor | 1 |
About Sachiko Kamakura
Sachiko Kamakura is a scholar working on Cell Biology, Immunology and Allergy and Immunology, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Developmental Neuroscience (131 citations), Cell Biology (338 citations) and Molecular Biology (1.2k citations). Sachiko Kamakura has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Tetsuo Moriguchi, Eisuke Nishida, Hideki Sumimoto, Norihisa Masuyama, Koji Oishi, Masato Nakafuku, Takeshi Yoshimatsu, Yukiko Gotoh, Takashi Ito and Satoru Yuzawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell 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.