Ryosuke Ishimura
Impact in
- Epidemiology top 5%
- Autophagy in Disease and Therapy
- Geriatrics and Gerontology top 5%
Papers in
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- Ubiquitin and proteasome pathways 4
- Kruppel-like factors research 2
- Biochemical and Molecular Research 2
- Genomics, phytochemicals, and oxidative stress 2
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- Autophagy in Disease and Therapy 4
- Co-authors
- Masaaki Komatsu (9 shared papers)Keiji Tanaka (3 shared papers)Satoshi Waguri (4 shared papers)Shun Kageyama (3 shared papers)Yu‐shin Sou (2 shared papers)Myung‐Shik Lee (2 shared papers)Masayuki Yamamoto (2 shared papers)Tetsuya Saito (2 shared papers)
- Journals
- Journal of Medical Genetics (1 paper)Molecular Cell (1 paper)Science Advances (1 paper)Oncogenesis (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Ryosuke Ishimura
9 papers receiving 1.3k citations
Ryosuke Ishimura's Hit Papers
Peers
Comparison fields: 5 of 94
- Epidemiology 524
- Geriatrics and Gerontology 48
- Cell Biology 217
- Molecular Biology 861
- 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 | 989 |
| 2 | 2014 | 98 | |
| 3 | 2014 | 64 | |
| 4 | 2022 | 59 | |
| 5 | 2018 | 46 | |
| 6 | 2023 | 32 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 5 |
About Ryosuke Ishimura
Ryosuke Ishimura is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Genetics and Genetics, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Autophagy in Disease and Therapy (4 papers), Kruppel-like factors research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Biochemical and Molecular Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Epidemiology (524 citations), Geriatrics and Gerontology (48 citations), Cell Biology (217 citations), Molecular Biology (861 citations) and Physiology (56 citations). Ryosuke Ishimura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masaaki Komatsu, Keiji Tanaka, Satoshi Waguri, Shun Kageyama, Yu‐shin Sou, Myung‐Shik Lee, Masayuki Yamamoto, Tetsuya Saito, Yoshinobu Ichimura and Atsushi Hirao. Their work appears in journals such as Journal of Medical Genetics, Molecular Cell, Science Advances, Oncogenesis and Molecular and Cellular 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.