Chieko Nakada
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
Papers in
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- Lipid Membrane Structure and Behavior 4
- Sphingolipid Metabolism and Signaling 1
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- Neuroscience and Neural Engineering 1
- Neuropeptides and Animal Physiology 1
- Co-authors
- Takahiro Fujiwara (4 shared papers)Akihiro Kusumi (5 shared papers)Rinshi S. Kasai (4 shared papers)Kenichi Suzuki (2 shared papers)K. Murase (1 shared paper)Ken Ritchie (1 shared paper)Hideji Murakoshi (1 shared paper)Ikuko Koyama‐Honda (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Nature Cell Biology (1 paper)Seminars in Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Research Notes (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Chieko Nakada
7 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Biophysics 334
- Structural Biology 41
- Cell Biology 367
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 332
Countries citing papers authored by Chieko Nakada
This map shows the geographic impact of Chieko Nakada'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 Chieko Nakada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieko Nakada more than expected).
Fields of papers citing papers by Chieko Nakada
This network shows the impact of papers produced by Chieko Nakada. 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 Chieko Nakada. The network helps show where Chieko Nakada may publish in the future.
Co-authors
The 25 scholars most cited alongside Chieko Nakada, 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 | Paradigm Shift of the Plasma Membrane Concept from the Two-Dimensional Continuum Fluid to the Partitioned Fluid: High-Speed Single-Molecule Tracking of Membrane Molecules Hit paper breakdown → | 2005 | 875 |
| 2 | 2003 | 279 | |
| 3 | 2011 | 273 | |
| 4 | 2004 | 185 | |
| 5 | 2013 | 90 | |
| 6 | 2008 | 12 | |
| 7 | 2018 | 5 |
About Chieko Nakada
Chieko Nakada is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Surgery and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (4 papers), Neuroscience and Neural Engineering (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Cholesterol and Lipid Metabolism (1 paper), Neuropeptides and Animal Physiology (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Adenosine and Purinergic Signaling (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Biophysics (334 citations), Structural Biology (41 citations), Cell Biology (367 citations), Molecular Biology (1.3k citations) and Cellular and Molecular Neuroscience (332 citations). Chieko Nakada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takahiro Fujiwara, Akihiro Kusumi, Rinshi S. Kasai, Kenichi Suzuki, K. Murase, Ken Ritchie, Hideji Murakoshi, Ikuko Koyama‐Honda, Eric R. Prossnitz and H. Ike. Their work appears in journals such as The Journal of Cell Biology, Nature Cell Biology, Seminars in Immunology, Proceedings of the National Academy of Sciences and BMC Research Notes.
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.