Mayuko Sakuma
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Structural Biology top 10%
Papers in
-
- Lipid Membrane Structure and Behavior 4
- Protein Structure and Dynamics 3
- Genetics 8
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Michio Homma (12 shared papers)Katsumi Imada (12 shared papers)Seiji Kojima (10 shared papers)Keiichi Namba (4 shared papers)Chojiro Kojima (2 shared papers)Tohru Minamino (2 shared papers)Yuki Sudo (1 shared paper)Hiroyuki Terashima (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Biochemistry (2 papers)Journal of Biological Chemistry (2 papers)mBio (2 papers)Journal of Neurosurgery Pediatrics (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Mayuko Sakuma
14 papers receiving 560 citations
Peers
Comparison fields: 5 of 58
- Endocrinology 93
- Structural Biology 17
- Genetics 268
- Condensed Matter Physics 96
- Cellular and Molecular Neuroscience 126
Countries citing papers authored by Mayuko Sakuma
This map shows the geographic impact of Mayuko Sakuma'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 Mayuko Sakuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayuko Sakuma more than expected).
Fields of papers citing papers by Mayuko Sakuma
This network shows the impact of papers produced by Mayuko Sakuma. 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 Mayuko Sakuma. The network helps show where Mayuko Sakuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayuko Sakuma, 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 | 2009 | 143 | |
| 2 | 2014 | 70 | |
| 3 | 2018 | 67 | |
| 4 | 2008 | 57 | |
| 5 | 2011 | 55 | |
| 6 | 2009 | 44 | |
| 7 | 2013 | 38 | |
| 8 | 2019 | 36 | |
| 9 | 2021 | 27 | |
| 10 | 2019 | 7 | |
| 11 | 2016 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2025 | 2 | |
| 14 | 2007 | 2 |
About Mayuko Sakuma
Mayuko Sakuma is a scholar working on Molecular Biology, Genetics, Physiology, Condensed Matter Physics and Cell Biology, having authored 14 papers that have together received 562 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Lipid Membrane Structure and Behavior (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Protein Structure and Dynamics (3 papers), Vibrio bacteria research studies (2 papers), Micro and Nano Robotics (2 papers), Biomedical Research and Pathophysiology (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Endocrinology (93 citations), Structural Biology (17 citations), Genetics (268 citations), Condensed Matter Physics (96 citations) and Cellular and Molecular Neuroscience (126 citations). Mayuko Sakuma has collaborated with scholars based in Japan and United States. Frequent co-authors include Michio Homma, Katsumi Imada, Seiji Kojima, Keiichi Namba, Chojiro Kojima, Tohru Minamino, Yuki Sudo, Hiroyuki Terashima, Asuka Setoguchi and Yasuyuki Endo. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Biochemistry, Journal of Biological Chemistry, mBio and Journal of Neurosurgery Pediatrics.
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.