Keisuke Ishizawa

2.3k total citations
94 papers, 1.7k citations indexed

About

Keisuke Ishizawa is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Keisuke Ishizawa has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 23 papers in Oncology and 16 papers in Genetics. Recurrent topics in Keisuke Ishizawa's work include Glioma Diagnosis and Treatment (16 papers), Cancer, Hypoxia, and Metabolism (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Keisuke Ishizawa is often cited by papers focused on Glioma Diagnosis and Treatment (16 papers), Cancer, Hypoxia, and Metabolism (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Keisuke Ishizawa collaborates with scholars based in Japan, United States and United Kingdom. Keisuke Ishizawa's co-authors include Takanori Hirose, Takashi Komori, Dennis W. Dickson, Shio Shimada, Koichiro Tsuchiya, Toshio Mizutani, Nobutaka Arai, Toshiaki Tamaki, Tetsuya Shimada and Toshiaki Sano and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Keisuke Ishizawa

89 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keisuke Ishizawa Japan 21 523 495 357 322 283 94 1.7k
Aij‐Lie Kwan Taiwan 24 941 1.8× 539 1.1× 283 0.8× 179 0.6× 191 0.7× 148 2.1k
Suash Sharma United States 21 306 0.6× 622 1.3× 129 0.4× 228 0.7× 307 1.1× 68 1.8k
Ewa Matyja Poland 24 414 0.8× 614 1.2× 187 0.5× 124 0.4× 184 0.7× 127 1.9k
Takeo Abumiya Japan 26 413 0.8× 683 1.4× 149 0.4× 475 1.5× 241 0.9× 74 2.1k
Robert P. Ostrowski United States 30 1000 1.9× 809 1.6× 208 0.6× 643 2.0× 241 0.9× 80 2.8k
Emma M. Corr United States 11 869 1.7× 798 1.6× 259 0.7× 245 0.8× 75 0.3× 17 2.0k
Mami Ishikawa Japan 23 815 1.6× 498 1.0× 226 0.6× 622 1.9× 155 0.5× 102 2.4k
Yucong Peng China 24 495 0.9× 553 1.1× 102 0.3× 408 1.3× 183 0.6× 42 1.4k
He Wu China 20 699 1.3× 601 1.2× 144 0.4× 430 1.3× 139 0.5× 46 1.6k
Gyeong Joon Moon South Korea 22 186 0.4× 871 1.8× 268 0.8× 356 1.1× 140 0.5× 45 2.1k

Countries citing papers authored by Keisuke Ishizawa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Keisuke Ishizawa

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Ishizawa. A scholar is included among the top collaborators of Keisuke Ishizawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keisuke Ishizawa. Keisuke Ishizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aizawa, Fuka, Hidetaka Kosako, SEIICHI TANIDA, et al.. (2025). Ursodeoxycholic acid alleviates multiple sclerosis via TGR5-dependent microglial regulation in mice. European Journal of Pharmacology. 1003. 177941–177941. 1 indexed citations
2.
Matsumoto, Jun, Naohiro Iwata, Takahiro Niimura, et al.. (2024). Adverse events of nivolumab plus ipilimumab versus nivolumab plus cabozantinib: a real-world pharmacovigilance study. International Journal of Clinical Pharmacy. 46(3). 745–750. 4 indexed citations
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Niimura, Takahiro, Mitsuhiro Goda, Kôji Miyata, et al.. (2023). Evaluation of cardiovascular toxicity of the atezolizumab and bevacizumab combination. SHILAP Revista de lepidopterología. 3. 1213771–1213771. 2 indexed citations
6.
Imanishi, Masaki, Keijo Fukushima, Ryo Nakayama, et al.. (2023). CA9 and PRELID2; hypoxia-responsive potential therapeutic targets for pancreatic ductal adenocarcinoma as per bioinformatics analyses. Journal of Pharmacological Sciences. 153(4). 232–242. 4 indexed citations
7.
Tsuzuki, Yoshikazu, Keisuke Ishizawa, Hideki Ohgo, et al.. (2023). Nintedanib-associated enterocolitis with intractable diarrhea: a case report. Clinical Journal of Gastroenterology. 17(2). 271–275.
8.
Arai, Eiichi, Yasuhiro Nakamura, Keisuke Ishizawa, et al.. (2022). Application of fluorescence in situ hybridization in distinguishing acral melanoma in situ from acral junctional melanocytic nevus on the volar skin in Japanese patients. The Journal of Dermatology. 50(5). 637–645.
9.
Yamada, Hiroki, Naoto Okada, Shingen Nakamura, et al.. (2022). A machine learning model using SNPs obtained from a genome-wide association study predicts the onset of vincristine-induced peripheral neuropathy. The Pharmacogenomics Journal. 22(4). 241–246. 1 indexed citations
10.
Inoue, Tsutomu, Hiroshi Kajiyama, Keisuke Ishizawa, et al.. (2020). Tocilizumab-induced immunocomplex glomerulonephritis: a report of two cases. CEN Case Reports. 9(4). 318–325. 3 indexed citations
11.
Komura, Makoto, Toru Kikuchi, Hiroaki Komuro, et al.. (2020). A case of secretory breast cancer in a 6 year-old girl: is it possible to make a correct preoperative diagnosis?. Breast Cancer. 27(4). 785–790. 4 indexed citations
12.
Yamaoka, Minoru, Yoshikazu Tsuzuki, Hideki Ohgo, et al.. (2018). Epstein–Barr virus-associated hemophagocytic syndrome in a patient with ulcerative colitis during treatment with azathioprine: A case report and review of literature. World Journal of Clinical Cases. 6(14). 776–780. 1 indexed citations
13.
Okada, Naoto, et al.. (2017). Kamishoyosan and Shakuyakukanzoto promote recovery from paclitaxel-induced neurite retraction in PC12 cells. Journal of Pharmaceutical Health Care and Sciences. 3(1). 5 indexed citations
14.
Ishizawa, Keisuke, Takashi Komori, Yasuo Aihara, et al.. (2012). Clear cells are associated with proliferative activity in ependymoma: a quantitative study. Clinical Neuropathology. 31(5). 146–151. 1 indexed citations
15.
Ishizawa, Keisuke, et al.. (2012). “Heart Appearance” Infarction of the Pons: A Case Report. SHILAP Revista de lepidopterología. 2012. 1–2. 5 indexed citations
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Ishizawa, Keisuke, et al.. (2009). Podoplanin is a potential marker for the diagnosis of ependymoma: a comparative study with epithelial membrane antigen (EMA).. PubMed. 28(5). 373–8. 19 indexed citations
18.
Ishizawa, Keisuke, Takashi Komori, Shio Shimada, & Takanori Hirose. (2008). Olig2 and CD99 are useful negative markers for the diagnosis of brain tumors. Clinical Neuropathology. 27(5). 118–128. 23 indexed citations
19.
Ishizawa, Keisuke, Takashi Komori, Tomokazu Shimazu, et al.. (2002). Hyperphosphorylated tau deposition parallels prion protein burden in a case of Gerstmann-Sträussler-Scheinker syndrome P102L mutation complicated with dementia. Acta Neuropathologica. 104(4). 342–350. 39 indexed citations
20.
Kumagai, Hidenori, et al.. (2002). Lipomatous primitive neuroectodermal tumor with a glioblastoma component: a case report. Acta Neuropathologica. 103(2). 193–198. 22 indexed citations

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.

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