Tomohito Takimoto
About
In The Last Decade
Tomohito Takimoto
14 papers receiving 724 citations
Peers
Comparison fields: 5 of 72
- Immunology 489
- Oncology 259
- Molecular Biology 177
- Cancer Research 71
- Hematology 70
Countries citing papers authored by Tomohito Takimoto
This map shows the geographic impact of Tomohito Takimoto'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 Tomohito Takimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohito Takimoto more than expected).
Fields of papers citing papers by Tomohito Takimoto
This network shows the impact of papers produced by Tomohito Takimoto. 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 Tomohito Takimoto. The network helps show where Tomohito Takimoto may publish in the future.
Co-authorship network of co-authors of Tomohito Takimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Tomohito Takimoto. A scholar is included among the top collaborators of Tomohito Takimoto 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 Tomohito Takimoto. Tomohito Takimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 11 | |
| 3 | 16 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 18 | |
| 7 | 29 | |
| 8 | 39 | |
| 9 | 278 | |
| 10 | 47 | |
| 11 | 154 | |
| 12 | 90 | |
| 13 | [Alveolar rhabdomyosarcoma of unknown origin mimicking acute leukemia at the initial presentation]. | 10 |
| 14 | 15 |
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.