Hideaki Yamamoto
About
In The Last Decade
Hideaki Yamamoto
155 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 428
- Cellular and Molecular Neuroscience 348
- Physiology 321
- Electrical and Electronic Engineering 306
- Biomedical Engineering 296
Countries citing papers authored by Hideaki Yamamoto
This map shows the geographic impact of Hideaki Yamamoto'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 Hideaki Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideaki Yamamoto more than expected).
Fields of papers citing papers by Hideaki Yamamoto
This network shows the impact of papers produced by Hideaki Yamamoto. 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 Hideaki Yamamoto. The network helps show where Hideaki Yamamoto may publish in the future.
Co-authorship network of co-authors of Hideaki Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Yamamoto. A scholar is included among the top collaborators of Hideaki Yamamoto 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 Hideaki Yamamoto. Hideaki Yamamoto 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 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | Unsupervised learning based on local interactions between reservoir and readout neurons | 1 |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 83 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | A Quantitative Evaluation of Epstein-Barr Virus Infected Cells in the Peripheral Blood Mononuclear Cells of Children with Reactivated Antibody Response to Epstein-Barr Virus | 1 |
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.