Hiroshi Ueno
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Structural Biology top 0.5%
- Atomic and Molecular Physics, and Optics top 10%
- Biophysics top 2%
- Co-authors
- Hiroyuki NojiRyota IinoToshiharu SuzukiKazuhito V. TabataMasasuke YoshidaYoshihiro MinagawaKumiko HayashiHiroshi Mori
- Topics
- ATP Synthase and ATPases Research (40 papers)Mitochondrial Function and Pathology (29 papers)Advanced Electron Microscopy Techniques and Applications (14 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hiroshi Ueno
68 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.2k
- Biomedical Engineering 330
- Structural Biology 236
- Atomic and Molecular Physics, and Optics 175
- Biophysics 145
Countries citing papers authored by Hiroshi Ueno
This map shows the geographic impact of Hiroshi Ueno'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 Hiroshi Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Ueno more than expected).
Fields of papers citing papers by Hiroshi Ueno
This network shows the impact of papers produced by Hiroshi Ueno. 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 Hiroshi Ueno. The network helps show where Hiroshi Ueno may publish in the future.
Co-authorship network of co-authors of Hiroshi Ueno
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Ueno. A scholar is included among the top collaborators of Hiroshi Ueno 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 Hiroshi Ueno. Hiroshi Ueno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 7 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 49 | |
| 7 | 50 | |
| 8 | 23 | |
| 9 | 10 | |
| 10 | 20 | |
| 11 | 14 | |
| 12 | Coordinated analysis of technology development interests for the global exploration roadmap: The ger technology development map | 1 |
| 13 | 2 | |
| 14 | 26 | |
| 15 | 28 | |
| 16 | 136 | |
| 17 | 19 | |
| 18 | 7 | |
| 19 | 45 | |
| 20 | 44 |
About Hiroshi Ueno
Hiroshi Ueno is a scholar working on Structural Biology, Biophysics and Energy Engineering and Power Technology, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (40 papers), Mitochondrial Function and Pathology (29 papers) and Advanced Electron Microscopy Techniques and Applications (14 papers). The work is most often cited by research in Structural Biology (236 citations), Biophysics (145 citations) and Molecular Biology (1.2k citations). Hiroshi Ueno has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroyuki Noji, Ryota Iino, Toshiharu Suzuki, Kazuhito V. Tabata, Masasuke Yoshida, Yoshihiro Minagawa, Kumiko Hayashi, Hiroshi Mori, Kazuhiko Kinosita and Rikiya Watanabe. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.