Kohsuke Takeda
- Molecular Biology top 0.2%
- Immunology top 0.2%
- Cell Biology top 0.1%
- Epidemiology top 0.5%
- Oncology top 1%
- Co-authors
- Hidenori IchijoShizuo AkiraAtsushi MatsuzawaHideki NishitohTakuya NoguchiKei TobiumeMasataka MoriSeiichi Oyadomari
- Topics
- Redox biology and oxidative stress (32 papers)Genomics, phytochemicals, and oxidative stress (22 papers)Endoplasmic Reticulum Stress and Disease (21 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kohsuke Takeda
170 papers receiving 19.1k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 10.1k
- Immunology 4.8k
- Cell Biology 4.3k
- Epidemiology 3.0k
- Oncology 2.3k
Countries citing papers authored by Kohsuke Takeda
This map shows the geographic impact of Kohsuke 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 Kohsuke Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kohsuke Takeda more than expected).
Fields of papers citing papers by Kohsuke Takeda
This network shows the impact of papers produced by Kohsuke 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 Kohsuke Takeda. The network helps show where Kohsuke Takeda may publish in the future.
Co-authorship network of co-authors of Kohsuke Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Kohsuke Takeda. A scholar is included among the top collaborators of Kohsuke 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 Kohsuke Takeda. Kohsuke 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 35 | |
| 8 | 118 | |
| 9 | Signaling pathways in invertebrate immune and stress response | 15 |
| 10 | 122 | |
| 11 | 6 | |
| 12 | 208 | |
| 13 | 361 | |
| 14 | 176 | |
| 15 | 44 | |
| 16 | Targeted disruption of the Chop gene delays endoplasmic reticulum stress–mediated diabetesbreakdown → | 760 |
| 17 | ASK1 is essential for endoplasmic reticulum stress-induced neuronal cell death triggered by expanded polyglutamine repeatsbreakdown → | 1134 |
| 18 | 188 | |
| 19 | 152 | |
| 20 | 73 |
About Kohsuke Takeda
Kohsuke Takeda is a scholar working on Aging, Immunology and Cell Biology, having authored 175 papers that have together received 19.4k indexed citations. Recurring topics across this work include Redox biology and oxidative stress (32 papers), Genomics, phytochemicals, and oxidative stress (22 papers) and Endoplasmic Reticulum Stress and Disease (21 papers). The work is most often cited by research in Cell Biology (4.3k citations), Immunology (4.8k citations) and Molecular Biology (10.1k citations). Kohsuke Takeda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hidenori Ichijo, Shizuo Akira, Atsushi Matsuzawa, Hideki Nishitoh, Takuya Noguchi, Kei Tobiume, Masataka Mori, Seiichi Oyadomari, Tomomi Gotoh and Eiichi Araki. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.