Nobutoshi Esaki
About
In The Last Decade
Nobutoshi Esaki
11 papers receiving 299 citations
Peers
Comparison fields: 5 of 50
- Oncology 173
- Molecular Biology 141
- Cancer Research 74
- Immunology 65
- Cell Biology 33
Countries citing papers authored by Nobutoshi Esaki
This map shows the geographic impact of Nobutoshi Esaki'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 Nobutoshi Esaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobutoshi Esaki more than expected).
Fields of papers citing papers by Nobutoshi Esaki
This network shows the impact of papers produced by Nobutoshi Esaki. 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 Nobutoshi Esaki. The network helps show where Nobutoshi Esaki may publish in the future.
Co-authorship network of co-authors of Nobutoshi Esaki
This figure shows the co-authorship network connecting the top 25 collaborators of Nobutoshi Esaki. A scholar is included among the top collaborators of Nobutoshi Esaki 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 Nobutoshi Esaki. Nobutoshi Esaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 46 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 11 | |
| 10 | 134 | |
| 11 | 30 | |
| 12 | 42 |
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.