Tsuguo Kubota
About
In The Last Decade
Tsuguo Kubota
10 papers receiving 314 citations
Peers
Comparison fields: 5 of 48
- Radiology, Nuclear Medicine and Imaging 229
- Molecular Biology 200
- Immunology 141
- Oncology 71
- Genetics 27
Countries citing papers authored by Tsuguo Kubota
This map shows the geographic impact of Tsuguo Kubota'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 Tsuguo Kubota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuguo Kubota more than expected).
Fields of papers citing papers by Tsuguo Kubota
This network shows the impact of papers produced by Tsuguo Kubota. 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 Tsuguo Kubota. The network helps show where Tsuguo Kubota may publish in the future.
Co-authorship network of co-authors of Tsuguo Kubota
This figure shows the co-authorship network connecting the top 25 collaborators of Tsuguo Kubota. A scholar is included among the top collaborators of Tsuguo Kubota 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 Tsuguo Kubota. Tsuguo Kubota 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 | 12 | |
| 3 | 26 | |
| 4 | Novel anti-Tn single-chain Fv-Fc fusion proteins derived from immunized phage library and antibody Fc domain. | 18 |
| 5 | 117 | |
| 6 | 135 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 2 |
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.