Yutaka Ueno
About
In The Last Decade
Yutaka Ueno
30 papers receiving 964 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 533
- Cardiology and Cardiovascular Medicine 469
- Atomic and Molecular Physics, and Optics 263
- Biomedical Engineering 171
- Cell Biology 118
Countries citing papers authored by Yutaka Ueno
This map shows the geographic impact of Yutaka 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 Yutaka Ueno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yutaka Ueno more than expected).
Fields of papers citing papers by Yutaka Ueno
This network shows the impact of papers produced by Yutaka 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 Yutaka Ueno. The network helps show where Yutaka Ueno may publish in the future.
Co-authorship network of co-authors of Yutaka Ueno
This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Ueno. A scholar is included among the top collaborators of Yutaka 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 Yutaka Ueno. Yutaka 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 19 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 54 | |
| 14 | 187 | |
| 15 | 1 | |
| 16 | Clustering and averaging of images in single-particle analysis. | 2 |
| 17 | A high-throughput graphics library designed for a portable molecular structure viewer. | 1 |
| 18 | Automatic Gene Recognition without Using Training Data. | 1 |
| 19 | A new plug-in software architecture applied for a portable molecular structure browser. | 2 |
| 20 | 392 |
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.