Ryosuke Ishimura
Impact in
- Epidemiology top 5%
- Autophagy in Disease and Therapy
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Ubiquitin and proteasome pathways 4
- Biochemical and Molecular Research 2
- Genomics, phytochemicals, and oxidative stress 2
- Cancer-related gene regulation 1
- Epigenetics and DNA Methylation 1
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- Autophagy in Disease and Therapy 4
- Co-authors
- Masaaki Komatsu (8 shared papers)Keiji Tanaka (3 shared papers)Satoshi Waguri (4 shared papers)Shun Kageyama (3 shared papers)Yu‐shin Sou (2 shared papers)Masayuki Yamamoto (2 shared papers)Myung‐Shik Lee (2 shared papers)Atsushi Hirao (1 shared paper)
- Journals
- Molecular Case Studies (1 paper)Nature Communications (1 paper)FEBS Letters (1 paper)Journal of Biological Chemistry (1 paper)Science Advances (1 paper)
- Partner nations
- JapanAustraliaSouth Korea
In The Last Decade
Ryosuke Ishimura
8 papers receiving 1.2k citations
Ryosuke Ishimura's Hit Papers
Peers
Comparison fields: 5 of 91
- Epidemiology 531
- Cell Biology 218
- Geriatrics and Gerontology 49
- Molecular Biology 855
- Physiology 56
Countries citing papers authored by Ryosuke Ishimura
This map shows the geographic impact of Ryosuke Ishimura'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 Ryosuke Ishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryosuke Ishimura more than expected).
Fields of papers citing papers by Ryosuke Ishimura
This network shows the impact of papers produced by Ryosuke Ishimura. 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 Ryosuke Ishimura. The network helps show where Ryosuke Ishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryosuke Ishimura, 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 | Phosphorylation of p62 Activates the Keap1-Nrf2 Pathway during Selective Autophagy Hit paper breakdown → | 2013 | 950 |
| 2 | 2014 | 95 | |
| 3 | 2014 | 63 | |
| 4 | 2022 | 50 | |
| 5 | 2023 | 27 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 5 |
About Ryosuke Ishimura
Ryosuke Ishimura is a scholar working on Molecular Biology, Epidemiology, Genetics, Cell Biology and Genetics, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Biochemical and Molecular Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Cancer-related gene regulation (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Epidemiology (531 citations), Cell Biology (218 citations), Geriatrics and Gerontology (49 citations), Molecular Biology (855 citations) and Physiology (56 citations). Ryosuke Ishimura has collaborated with scholars based in Japan, Australia and South Korea. Frequent co-authors include Masaaki Komatsu, Keiji Tanaka, Satoshi Waguri, Shun Kageyama, Yu‐shin Sou, Masayuki Yamamoto, Myung‐Shik Lee, Atsushi Hirao, Tetsuya Saito and Kenji Takagi. Their work appears in journals such as Molecular Case Studies, Nature Communications, FEBS Letters, Journal of Biological Chemistry and Science Advances.
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.