Tomotake Kanki
- Molecular Biology top 2%
- Epidemiology top 1%
- Cell Biology top 1%
- Physiology top 5%
- Neurology top 2%
- Co-authors
- Daniel J. KlionskyDongchon KangKe WangMisuzu BabaYang CaoTetsu SaigusaShun‐ichi YamashitaYuko Hirota
- Topics
- Autophagy in Disease and Therapy (50 papers)Mitochondrial Function and Pathology (39 papers)Endoplasmic Reticulum Stress and Disease (20 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tomotake Kanki
73 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 3.1k
- Epidemiology 2.4k
- Cell Biology 863
- Physiology 502
- Neurology 462
Countries citing papers authored by Tomotake Kanki
This map shows the geographic impact of Tomotake Kanki'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 Tomotake Kanki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomotake Kanki more than expected).
Fields of papers citing papers by Tomotake Kanki
This network shows the impact of papers produced by Tomotake Kanki. 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 Tomotake Kanki. The network helps show where Tomotake Kanki may publish in the future.
Co-authorship network of co-authors of Tomotake Kanki
This figure shows the co-authorship network connecting the top 25 collaborators of Tomotake Kanki. A scholar is included among the top collaborators of Tomotake Kanki 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 Tomotake Kanki. Tomotake Kanki 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 | 5 | |
| 3 | Mitophagy mediated by BNIP3 and NIX protects against ferroptosis by downregulating mitochondrial reactive oxygen speciesbreakdown → | 53 |
| 4 | 15 | |
| 5 | 25 | |
| 6 | 3 | |
| 7 | 23 | |
| 8 | 61 | |
| 9 | 24 | |
| 10 | 34 | |
| 11 | 38 | |
| 12 | 40 | |
| 13 | 24 | |
| 14 | [Mitophagy: selective degradation of mitochondria by autophagy]. | 10 |
| 15 | 171 | |
| 16 | 42 | |
| 17 | 19 | |
| 18 | 61 | |
| 19 | 299 | |
| 20 | 19 |
About Tomotake Kanki
Tomotake Kanki is a scholar working on Epidemiology, Cell Biology and Aging, having authored 75 papers that have together received 4.5k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (50 papers), Mitochondrial Function and Pathology (39 papers) and Endoplasmic Reticulum Stress and Disease (20 papers). The work is most often cited by research in Aging (121 citations), Epidemiology (2.4k citations) and Clinical Biochemistry (391 citations). Tomotake Kanki has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Daniel J. Klionsky, Dongchon Kang, Ke Wang, Misuzu Baba, Yang Cao, Tetsu Saigusa, Shun‐ichi Yamashita, Yuko Hirota, Takeshi Uchiumi and Yusuke Kurihara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.