Keisuke Ishizawa
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Parkinson's Disease Mechanisms and Treatments 5
- Neurological Disease Mechanisms and Treatments 5
- Neuroblastoma Research and Treatments 4
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Parkinson's Disease Mechanisms and Treatments 5
- Neurological Disease Mechanisms and Treatments 5
- Neuroblastoma Research and Treatments 4
- Genetics top 5%
- Glioma Diagnosis and Treatment 16
- Physiology top 10%
- Adipose Tissue and Metabolism 4
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 10
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- Sarcoma Diagnosis and Treatment 6
- Co-authors
- Takanori HiroseTakashi KomoriDennis W. DicksonShio ShimadaKoichiro TsuchiyaNobutaka AraiToshio MizutaniToshiaki Tamaki
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Keisuke Ishizawa
89 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Neurology 322
- Neurology 523
- Genetics 271
- Physiology 357
- Cancer Research 180
Countries citing papers authored by Keisuke Ishizawa
This map shows the geographic impact of Keisuke Ishizawa'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 Keisuke Ishizawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Ishizawa more than expected).
Fields of papers citing papers by Keisuke Ishizawa
This network shows the impact of papers produced by Keisuke Ishizawa. 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 Keisuke Ishizawa. The network helps show where Keisuke Ishizawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keisuke Ishizawa, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 3 | |
| 11 | 2018 | 1 | |
| 12 | 2016 | 13 | |
| 13 | 2012 | 16 | |
| 14 | 2011 | 6 | |
| 15 | Podoplanin is a potential marker for the diagnosis of ependymoma: a comparative study with epithelial membrane antigen (EMA). | 2009 | 19 |
| 16 | 2008 | 23 | |
| 17 | 2007 | 5 | |
| 18 | 2005 | 13 | |
| 19 | 2002 | 39 | |
| 20 | 1998 | 20 |
About Keisuke Ishizawa
Keisuke Ishizawa is a scholar working on Genetics, Neurology and Neurology, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Cancer, Hypoxia, and Metabolism (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Sarcoma Diagnosis and Treatment (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neurological Disease Mechanisms and Treatments (5 papers), Neuroblastoma Research and Treatments (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Neurology (322 citations), Neurology (523 citations) and Genetics (271 citations). Keisuke Ishizawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takanori Hirose, Takashi Komori, Dennis W. Dickson, Shio Shimada, Koichiro Tsuchiya, Nobutaka Arai, Toshio Mizutani, Toshiaki Tamaki, Tetsuya Shimada and Takayuki Tani. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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.