Takeshi Yuasa
- Pulmonary and Respiratory Medicine top 0.5%
- Molecular Biology top 2%
- Oncology top 1%
- Surgery top 2%
- Cancer Research top 1%
- Co-authors
- Junji YoneseTaira MaekawaShinya KimuraToni K. ChoueiriHidekazu SegawaFrede DonskovJunya KurodaSumanta K. Pal
- Topics
- Renal cell carcinoma treatment (95 papers)Cancer Genomics and Diagnostics (48 papers)Bladder and Urothelial Cancer Treatments (47 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Takeshi Yuasa
299 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 136
- Pulmonary and Respiratory Medicine 2.9k
- Molecular Biology 2.5k
- Oncology 2.2k
- Surgery 1.5k
- Cancer Research 1.3k
Countries citing papers authored by Takeshi Yuasa
This map shows the geographic impact of Takeshi Yuasa'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 Takeshi Yuasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Yuasa more than expected).
Fields of papers citing papers by Takeshi Yuasa
This network shows the impact of papers produced by Takeshi Yuasa. 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 Takeshi Yuasa. The network helps show where Takeshi Yuasa may publish in the future.
Co-authorship network of co-authors of Takeshi Yuasa
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Yuasa. A scholar is included among the top collaborators of Takeshi Yuasa 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 Takeshi Yuasa. Takeshi Yuasa 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 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 42 | |
| 9 | Relationship of B7-H3 expression in tumor cells and tumor vasculature with FOXP3+ regulatory T cells in renal cell carcinoma | 2 |
| 10 | A Wideband Beam Forming Network with Two Types of Phase-Shifters for Multi Beam Antenna | 1 |
| 11 | 38 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 16 | |
| 16 | 8 | |
| 17 | 165 | |
| 18 | 14 | |
| 19 | 5 | |
| 20 | [Immunoglobulins in vernal conjunctivitis (author's transl)]. | 1 |
About Takeshi Yuasa
Takeshi Yuasa is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 318 papers that have together received 6.3k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (95 papers), Cancer Genomics and Diagnostics (48 papers) and Bladder and Urothelial Cancer Treatments (47 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.9k citations), Cancer Research (1.3k citations) and Oncology (2.2k citations). Takeshi Yuasa has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Junji Yonese, Taira Maekawa, Shinya Kimura, Toni K. Choueiri, Hidekazu Segawa, Frede Donskov, Junya Kuroda, Sumanta K. Pal, Georg A. Bjarnason and Masaki Nogawa. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Genes & Development.
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.