Isei Tanida
Impact in
- Physiology top 0.05%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
- Epidemiology top 0.05%
- Autophagy in Disease and Therapy
Papers in
- Physiology 11
- Calcium signaling and nucleotide metabolism 9
- Lysosomal Storage Disorders Research 8
- Co-authors
- Eiki KominamiTakashi UenoMasaaki KomatsuSatoshi WaguriYasuo UchiyamaTomoki ChibaJunichi IwataShigeo Murata
- Journals
- Journal of Biological Chemistry (13 papers)Autophagy (10 papers)Biochemical and Biophysical Research Communications (7 papers)Scientific Reports (5 papers)PLoS ONE (4 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Isei Tanida
91 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Physiology 1.7k
- Epidemiology 11.6k
- Cell Biology 4.3k
- Geriatrics and Gerontology 617
- Aging 236
Countries citing papers authored by Isei Tanida
This map shows the geographic impact of Isei Tanida'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 Isei Tanida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isei Tanida more than expected).
Fields of papers citing papers by Isei Tanida
This network shows the impact of papers produced by Isei Tanida. 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 Isei Tanida. The network helps show where Isei Tanida may publish in the future.
Co-authors
The 25 scholars most cited alongside Isei Tanida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2020 | 14 | |
| 8 | 2019 | 9 | |
| 9 | 2018 | 20 | |
| 10 | 2013 | 17 | |
| 11 | 2011 | 225 | |
| 12 | 2009 | 58 | |
| 13 | 2007 | 65 | |
| 14 | 2006 | 41 | |
| 15 | Impairment of starvation-induced and constitutive autophagy in Atg7 -deficient mice Hit paper breakdown → | 2005 | 1941 |
| 16 | 2005 | 264 | |
| 17 | Lysosomal Turnover, but Not a Cellular Level, of Endogenous LC3 is a Marker for Autophagy Hit paper breakdown → | 2005 | 944 |
| 18 | 2005 | 186 | |
| 19 | 2004 | 211 | |
| 20 | 2001 | 271 |
About Isei Tanida
Isei Tanida is a scholar working on Structural Biology, Physiology, Cell Biology, Epidemiology and Parasitology, having authored 94 papers that have together received 16.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (54 papers), Endoplasmic Reticulum Stress and Disease (20 papers), Cellular transport and secretion (11 papers), Ubiquitin and proteasome pathways (9 papers), Calcium signaling and nucleotide metabolism (9 papers), Lysosomal Storage Disorders Research (8 papers), Toxoplasma gondii Research Studies (8 papers) and Cannabis and Cannabinoid Research (8 papers). The work is most often cited by research in Physiology (1.7k citations), Epidemiology (11.6k citations), Cell Biology (4.3k citations), Geriatrics and Gerontology (617 citations) and Aging (236 citations). Isei Tanida has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Eiki Kominami, Takashi Ueno, Masaaki Komatsu, Satoshi Waguri, Yasuo Uchiyama, Tomoki Chiba, Junichi Iwata, Shigeo Murata, Noboru Mizushima and Yoshinori Ohsumi. Their work appears in journals such as Journal of Biological Chemistry, Autophagy, Biochemical and Biophysical Research Communications, Scientific Reports and PLoS ONE.
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.