Kazuyoshi Takeda
- Immunology top 0.05%
- Molecular Biology top 0.5%
- Oncology top 0.2%
- Plant Science top 0.2%
- Genetics top 1%
- Co-authors
- Hideo Yagita∥Ko OkumuraMark J. SmythYoshihiro HayakawaKazuhiro SatoLuc Van KaerErika CretneyNobuhiko Kayagaki
- Topics
- Immune Cell Function and Interaction (105 papers)Magnetism in coordination complexes (75 papers)Immunotherapy and Immune Responses (72 papers)
- Cited by
- ImmunologyOncologyPlant Science
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Kazuyoshi Takeda
614 papers receiving 24.4k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Immunology 11.8k
- Molecular Biology 6.1k
- Oncology 5.5k
- Plant Science 4.3k
- Genetics 1.5k
Countries citing papers authored by Kazuyoshi Takeda
This map shows the geographic impact of Kazuyoshi Takeda'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 Kazuyoshi Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyoshi Takeda more than expected).
Fields of papers citing papers by Kazuyoshi Takeda
This network shows the impact of papers produced by Kazuyoshi Takeda. 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 Kazuyoshi Takeda. The network helps show where Kazuyoshi Takeda may publish in the future.
Co-authorship network of co-authors of Kazuyoshi Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyoshi Takeda. A scholar is included among the top collaborators of Kazuyoshi Takeda 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 Kazuyoshi Takeda. Kazuyoshi Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 103 | |
| 8 | 248 | |
| 9 | 76 | |
| 10 | 187 | |
| 11 | Improved Efficacy of Neoadjuvant Compared to Adjuvant Immunotherapy to Eradicate Metastatic Diseasebreakdown → | 569 |
| 12 | 14 | |
| 13 | 76 | |
| 14 | 81 | |
| 15 | 56 | |
| 16 | 92 | |
| 17 | 23 | |
| 18 | 55 | |
| 19 | 165 | |
| 20 | 11 |
About Kazuyoshi Takeda
Kazuyoshi Takeda is a scholar working on Condensed Matter Physics, Immunology and Electronic, Optical and Magnetic Materials, having authored 625 papers that have together received 25.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (105 papers), Magnetism in coordination complexes (75 papers) and Immunotherapy and Immune Responses (72 papers). The work is most often cited by research in Immunology (11.8k citations), Oncology (5.5k citations) and Plant Science (4.3k citations). Kazuyoshi Takeda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hideo Yagita∥, Ko Okumura, Mark J. Smyth, Yoshihiro Hayakawa, Kazuhiro Sato, Luc Van Kaer, Erika Cretney, Nobuhiko Kayagaki, Hisaya Akiba and Yoshiro Mano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.