Ryota Iino
- Molecular Biology top 1%
- Biomedical Engineering top 2%
- Biophysics top 0.2%
- Cell Biology top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Co-authors
- Hiroyuki NojiAkihiro KusumiTakahiro FujiwaraHiromi ImamuraShouichi SakakiharaTakayuki UchihashiYasuyuki Kato‐YamadaToshio Ando
- Topics
- ATP Synthase and ATPases Research (47 papers)Mitochondrial Function and Pathology (25 papers)Advanced Electron Microscopy Techniques and Applications (23 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Ryota Iino
108 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 4.2k
- Biomedical Engineering 1.2k
- Biophysics 843
- Cell Biology 779
- Atomic and Molecular Physics, and Optics 753
Countries citing papers authored by Ryota Iino
This map shows the geographic impact of Ryota Iino'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 Ryota Iino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryota Iino more than expected).
Fields of papers citing papers by Ryota Iino
This network shows the impact of papers produced by Ryota Iino. 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 Ryota Iino. The network helps show where Ryota Iino may publish in the future.
Co-authorship network of co-authors of Ryota Iino
This figure shows the co-authorship network connecting the top 25 collaborators of Ryota Iino. A scholar is included among the top collaborators of Ryota Iino 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 Ryota Iino. Ryota Iino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 50 | |
| 5 | 23 | |
| 6 | 50 | |
| 7 | 2 | |
| 8 | 42 | |
| 9 | UNIFORM-SIZED PROTEOLIPOSOME FORMATION BY USING ELECTROSPRAY FOR MICROSCOPIC MEMBRANE PROTEIN ASSAYS | 1 |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 43 | |
| 13 | 14 | |
| 14 | 136 | |
| 15 | 1 | |
| 16 | Visualization of ATP levels inside single living cells with fluorescence resonance energy transfer-based genetically encoded indicatorsbreakdown → | 820 |
| 17 | Role of Ca2+ and cAMP in a cell signaling pathway for resting cyst formation of ciliated protozoan Colpoda cucullus | 22 |
| 18 | 125 | |
| 19 | 302 | |
| 20 | 242 |
About Ryota Iino
Ryota Iino is a scholar working on Structural Biology, Biophysics and Energy Engineering and Power Technology, having authored 108 papers that have together received 6.0k indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (47 papers), Mitochondrial Function and Pathology (25 papers) and Advanced Electron Microscopy Techniques and Applications (23 papers). The work is most often cited by research in Structural Biology (572 citations), Biophysics (843 citations) and Molecular Biology (4.2k citations). Ryota Iino has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hiroyuki Noji, Akihiro Kusumi, Takahiro Fujiwara, Hiromi Imamura, Shouichi Sakakihara, Takayuki Uchihashi, Yasuyuki Kato‐Yamada, Toshio Ando, Kenta Saito and Takeharu Nagai. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.