Kosuke Ishikawa
Impact in
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- Endoplasmic Reticulum Stress and Disease
Papers in
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- Ubiquitin and proteasome pathways 3
- Viral Infectious Diseases and Gene Expression in Insects 3
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- Oncology 5
- Co-authors
- Kentaro Semba (21 shared papers)Jun‐ichiro Inoue (7 shared papers)Sakura Azuma (4 shared papers)Shuntaro Ikawa (3 shared papers)Taishin Akiyama (3 shared papers)Shinya Watanabe (5 shared papers)Jiro Fujimoto (5 shared papers)Naoki Goshima (5 shared papers)
- Journals
- Gene (3 papers)Biochemical and Biophysical Research Communications (2 papers)International Journal of Molecular Sciences (2 papers)Genes to Cells (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Kosuke Ishikawa
26 papers receiving 279 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 44
- Cell Biology 47
- Molecular Biology 167
- Oncology 46
- Immunology 37
Countries citing papers authored by Kosuke Ishikawa
This map shows the geographic impact of Kosuke Ishikawa'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 Kosuke Ishikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Ishikawa more than expected).
Fields of papers citing papers by Kosuke Ishikawa
This network shows the impact of papers produced by Kosuke Ishikawa. 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 Kosuke Ishikawa. The network helps show where Kosuke Ishikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Kosuke Ishikawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 47 | |
| 2 | 2014 | 30 | |
| 3 | 2010 | 23 | |
| 4 | 2009 | 21 | |
| 5 | 2003 | 20 | |
| 6 | 2012 | 20 | |
| 7 | 2019 | 17 | |
| 8 | 2016 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2016 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2005 | 10 | |
| 13 | 2018 | 7 | |
| 14 | 2005 | 6 | |
| 15 | 2005 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2002 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 2 |
About Kosuke Ishikawa
Kosuke Ishikawa is a scholar working on Molecular Biology, Oncology, Genetics, Computer Vision and Pattern Recognition and Cell Biology, having authored 27 papers that have together received 284 indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Ubiquitin and proteasome pathways (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Interactive and Immersive Displays (3 papers), NF-κB Signaling Pathways (3 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Cancer Research (44 citations), Cell Biology (47 citations), Molecular Biology (167 citations), Oncology (46 citations) and Immunology (37 citations). Kosuke Ishikawa has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Kentaro Semba, Jun‐ichiro Inoue, Sakura Azuma, Shuntaro Ikawa, Taishin Akiyama, Shinya Watanabe, Jiro Fujimoto, Naoki Goshima, Koichi Ito and Mizuki Yamamoto. Their work appears in journals such as Gene, Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences, Genes to Cells 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.