Nobuo Tsuruoka
About
In The Last Decade
Nobuo Tsuruoka
67 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 110
- Physiology 751
- Molecular Biology 710
- Immunology 502
- Oncology 361
- Organic Chemistry 246
Countries citing papers authored by Nobuo Tsuruoka
This map shows the geographic impact of Nobuo Tsuruoka'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 Nobuo Tsuruoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuo Tsuruoka more than expected).
Fields of papers citing papers by Nobuo Tsuruoka
This network shows the impact of papers produced by Nobuo Tsuruoka. 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 Nobuo Tsuruoka. The network helps show where Nobuo Tsuruoka may publish in the future.
Co-authorship network of co-authors of Nobuo Tsuruoka
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Tsuruoka. A scholar is included among the top collaborators of Nobuo Tsuruoka 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 Nobuo Tsuruoka. Nobuo Tsuruoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 62 | |
| 4 | 18 | |
| 5 | 6 | |
| 6 | 62 | |
| 7 | 24 | |
| 8 | 10 | |
| 9 | 23 | |
| 10 | 61 | |
| 11 | 169 | |
| 12 | 155 | |
| 13 | 1 | |
| 14 | Structure and function of Interleukin 5 | 4 |
| 15 | 2 | |
| 16 | 22 | |
| 17 | 47 | |
| 18 | 32 | |
| 19 | 36 | |
| 20 | 64 |
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.