Toku Kanaseki

4.1k citations
20 papers · 3.4k indexed · 3 hit papers · h-index 13

Toku Kanaseki

20 papers receiving 3.3k citations

Hit Papers

Discovery of Atg5/Atg7-independent alternative macroautop...89920002026200820172505007501000

Peers

Toku Kanaseki
Comparison fields: 5 of 115
  • Physiology 269
  • Cell Biology 799
  • Epidemiology 1.7k
  • Molecular Biology 1.9k
  • Geriatrics and Gerontology 91
Replace Tohru Ichimura with:
Tohru Ichimura Japan
Lone Bastholm Denmark
Thomas Farkas Denmark
Shun-ichiro Iemura Japan
Takeshi Kaizuka Japan
Deborah L. Berry United States
Tomohiro Yorimitsu Japan
Gonzalo A. Mardones Chile
Dale W. Hailey United States
Angelika S. Rambold Germany
Toku Kanaseki relative to Tohru Ichimura Japan Tohru Ichimura's profile →
Citations per field
00.5×1.5×1.9×
Tohru Ichimura · 1×
Citations per year

Countries citing papers authored by Toku Kanaseki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Toku Kanaseki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Toku Kanaseki Line = papers co-authored together Toku Kanaseki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20224
2 201673
3
Discovery of Atg5/Atg7-independent alternative macroautophagybreakdown →
2009899
4 200626
5 200412
6
Role of Bcl-2 family proteins in a non-apoptotic programmed cell death dependent on autophagy genesbreakdown →
20041108
7 200411
8 200314
9
Normotonic cell shrinkage because of disordered volume regulation is an early prerequisite to apoptosisbreakdown →
2000627
10 199820
11 199786
12 19923
13 19915
14 19885
15 198733
16 198615
17 19755
18 197275
19 1969363
20 19697

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), Mitochondrial Function and Pathology (3 papers), Lipid Membrane Structure and Behavior (3 papers), Autophagy in Disease and Therapy (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Cellular transport and secretion (2 papers) and Biocrusts and Microbial Ecology (2 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.

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