Toku Kanaseki
- Molecular Biology top 5%
- Epidemiology top 1%
- Cell Biology top 1%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Satoko ArakawaYoshihide TsujimotoShigeomi ShimizuKen KadotaNoboru MizushimaCraig B. ThompsonEmi MaenoAkihiro Hazama
- Topics
- Lipid metabolism and biosynthesis (4 papers)Lichen and fungal ecology (3 papers)Mitochondrial Function and Pathology (3 papers)
- Cited by
- PhysiologyCell BiologyEpidemiology
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Toku Kanaseki
20 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.9k
- Epidemiology 1.7k
- Cell Biology 799
- Physiology 375
- Cellular and Molecular Neuroscience 309
Countries citing papers authored by Toku Kanaseki
This map shows the geographic impact of Toku Kanaseki'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 Toku Kanaseki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toku Kanaseki more than expected).
Fields of papers citing papers by Toku Kanaseki
This network shows the impact of papers produced by Toku Kanaseki. 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 Toku Kanaseki. The network helps show where Toku Kanaseki may publish in the future.
Co-authorship network of co-authors of Toku Kanaseki
This figure shows the co-authorship network connecting the top 25 collaborators of Toku Kanaseki. A scholar is included among the top collaborators of Toku Kanaseki 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 Toku Kanaseki. Toku Kanaseki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 73 | |
| 3 | Discovery of Atg5/Atg7-independent alternative macroautophagybreakdown → | 899 |
| 4 | 26 | |
| 5 | 12 | |
| 6 | Role of Bcl-2 family proteins in a non-apoptotic programmed cell death dependent on autophagy genesbreakdown → | 1108 |
| 7 | 11 | |
| 8 | 14 | |
| 9 | Normotonic cell shrinkage because of disordered volume regulation is an early prerequisite to apoptosisbreakdown → | 627 |
| 10 | 20 | |
| 11 | 86 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 33 | |
| 16 | 15 | |
| 17 | 5 | |
| 18 | 75 | |
| 19 | 363 | |
| 20 | 7 |
About Toku Kanaseki
Toku Kanaseki is a scholar working on Biochemistry, Complementary and Manual Therapy and Cell Biology, having authored 20 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (4 papers), Lichen and fungal ecology (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Physiology (269 citations), Cell Biology (799 citations) and Epidemiology (1.7k citations). Toku Kanaseki has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Satoko Arakawa, Yoshihide Tsujimoto, Shigeomi Shimizu, Ken Kadota, Noboru Mizushima, Craig B. Thompson, Emi Maeno, Akihiro Hazama, Yasuki Ishizaki and Yasunobu Okada. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.
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.