Takayuki Kanazawa

1.3k total citations
17 papers, 685 citations indexed

About

Takayuki Kanazawa is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Takayuki Kanazawa has authored 17 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Oncology. Recurrent topics in Takayuki Kanazawa's work include Erythrocyte Function and Pathophysiology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Game Theory and Applications (3 papers). Takayuki Kanazawa is often cited by papers focused on Erythrocyte Function and Pathophysiology (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Game Theory and Applications (3 papers). Takayuki Kanazawa collaborates with scholars based in Japan and United States. Takayuki Kanazawa's co-authors include Alexander M. van der Bliek, Lorena Griparić, Yasunori Kozutsumi, Erin Newman‐Smith, Ayako Hasegawa, Kent McDonald, Hiromu Takematsu, Carmen A. Mannella, Ashley P. Wright and Karolyn Buttle and has published in prestigious journals such as The Journal of Cell Biology, The Journal of Urology and Frontiers in Immunology.

In The Last Decade

Takayuki Kanazawa

17 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takayuki Kanazawa Japan 9 565 157 107 98 87 17 685
Florence Malka France 8 894 1.6× 351 2.2× 156 1.5× 103 1.1× 45 0.5× 10 997
Ricarda Richter‐Dennerlein Germany 16 1.1k 2.0× 253 1.6× 86 0.8× 116 1.2× 109 1.3× 26 1.2k
Mafalda Escobar‐Henriques Germany 16 919 1.6× 138 0.9× 70 0.7× 194 2.0× 173 2.0× 25 1.0k
Inge Kühl France 13 1.1k 1.9× 320 2.0× 85 0.8× 57 0.6× 52 0.6× 21 1.2k
Michal Eisenberg‐Bord Israel 13 765 1.4× 98 0.6× 109 1.0× 129 1.3× 300 3.4× 14 962
Mari J. Aaltonen Canada 9 620 1.1× 168 1.1× 77 0.7× 120 1.2× 132 1.5× 10 712
Yonglei Shang United States 7 519 0.9× 89 0.6× 72 0.7× 36 0.4× 41 0.5× 10 651
Ryo Yonashiro Japan 8 694 1.2× 94 0.6× 101 0.9× 234 2.4× 109 1.3× 8 841
Miriam Di Re United Kingdom 9 641 1.1× 251 1.6× 40 0.4× 58 0.6× 51 0.6× 9 706
Reiko Ban-Ishihara Japan 10 640 1.1× 168 1.1× 46 0.4× 98 1.0× 244 2.8× 11 722

Countries citing papers authored by Takayuki Kanazawa

Since Specialization
Citations

This map shows the geographic impact of Takayuki Kanazawa'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 Takayuki Kanazawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayuki Kanazawa more than expected).

Fields of papers citing papers by Takayuki Kanazawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takayuki Kanazawa. 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 Takayuki Kanazawa. The network helps show where Takayuki Kanazawa may publish in the future.

Co-authorship network of co-authors of Takayuki Kanazawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Kanazawa. A scholar is included among the top collaborators of Takayuki Kanazawa 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 Takayuki Kanazawa. Takayuki Kanazawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Kidani, Yujiro, Yohko Kitagawa, Masaki Hagiwara, et al.. (2024). Downregulation of TCF7 and LEF1 is a key determinant of tumor-infiltrating regulatory T-cell function. International Immunology. 36(4). 167–182. 1 indexed citations
2.
Jingushi, Kentaro, Atsunari Kawashima, Takuro Saito, et al.. (2022). Circulating extracellular vesicles carrying Firmicutes reflective of the local immune status may predict clinical response to pembrolizumab in urothelial carcinoma patients. Cancer Immunology Immunotherapy. 71(12). 2999–3011. 10 indexed citations
3.
Nakagawa, Takayuki, Tetsuya Tanino, Motoyasu Onishi, et al.. (2021). S-540956, a CpG Oligonucleotide Annealed to a Complementary Strand With an Amphiphilic Chain Unit, Acts as a Potent Cancer Vaccine Adjuvant by Targeting Draining Lymph Nodes. Frontiers in Immunology. 12. 803090–803090. 8 indexed citations
4.
Kawashima, Atsunari, Takayuki Kanazawa, Tetsuya Yoshida, et al.. (2020). MP18-02 IDENTIFICATION OF CCR8 AS A SPECIFIC MARKER OF TUMOR TISSUE-INFILTRATING REGULATORY T CELLS AND ITS POSSIBILITY AS A THERAPEUTIC TARGET IN RENAL CELL CARCINOMA. The Journal of Urology. 203. e234–e234. 1 indexed citations
5.
Haruna, Miya, Michinari Hirata, Kota Iwahori, et al.. (2020). Docetaxel Upregulates HMGB1 Levels in Non-small Cell Lung Cancer. Biological and Pharmaceutical Bulletin. 43(3). 399–403. 10 indexed citations
6.
Kawashima, Atsunari, Takayuki Kanazawa, Kentaro Jingushi, et al.. (2018). Phenotypic Analysis of Tumor Tissue–Infiltrating Lymphocytes in Tumor Microenvironment of Bladder Cancer and Upper Urinary Tract Carcinoma. Clinical Genitourinary Cancer. 17(2). 114–124. 8 indexed citations
7.
Kawashima, Atsunari, Takayuki Kanazawa, Kumiko Goto, et al.. (2017). Immunological classification of renal cell carcinoma patients based on phenotypic analysis of immune check-point molecules. Cancer Immunology Immunotherapy. 67(1). 113–125. 15 indexed citations
8.
Yamamoto, Hiroshi, et al.. (2010). Sphingosylphosphorylcholine and lysosulfatide have inverse regulatory functions in monocytic cell differentiation into macrophages. Archives of Biochemistry and Biophysics. 506(1). 83–91. 10 indexed citations
9.
Kanazawa, Takayuki, Hiromu Takematsu, Akitsugu Yamamoto, Harumi Yamamoto, & Yasunori Kozutsumi. (2008). Wheat germ agglutinin stains dispersed post‐golgi vesicles after treatment with the cytokinesis inhibitor psychosine. Journal of Cellular Physiology. 215(2). 517–525. 15 indexed citations
10.
Kanazawa, Takayuki, Ayako Hasegawa, Ashley P. Wright, et al.. (2008). The C. elegans Opa1 Homologue EAT-3 Is Essential for Resistance to Free Radicals. PLoS Genetics. 4(2). e1000022–e1000022. 124 indexed citations
11.
Kanazawa, Takayuki, Hiroyuki Goto, & Toshimitsu Ushio. (2008). Replicator Dynamics with Dynamic Payoff Reallocation Based on the Government's Payoff. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E91-A(9). 2411–2418. 1 indexed citations
12.
Kanazawa, Takayuki, Toshimitsu Ushio, & Hiroyuki Goto. (2007). Replicator Dynamics with Government's Intervention by Collection and Reallocation of Payoffs. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E90-A(10). 2170–2177. 5 indexed citations
13.
Griparić, Lorena, Takayuki Kanazawa, & Alexander M. van der Bliek. (2007). Regulation of the mitochondrial dynamin-like protein Opa1 by proteolytic cleavage. The Journal of Cell Biology. 178(5). 757–764. 378 indexed citations
14.
Kanazawa, Takayuki & Toshimitsu Ushio. (2006). Multi-Population Replicator Dynamics with Changes of Interpretations of Strategies. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E89-A(10). 2717–2723. 3 indexed citations
15.
Kanazawa, Takayuki & Yasunori Kozutsumi. (2003). [Cytokinesis inhibition by glycosphingolipid, psychosine].. PubMed. 48(8 Suppl). 1158–63. 1 indexed citations
16.
Kanazawa, Takayuki & Yasunori Kozutsumi. (2002). [Biological function of sphingolipids involved in cytokinesis].. PubMed. 47(4 Suppl). 394–9. 1 indexed citations
17.
Kanazawa, Takayuki, Sachiko Nakamura, M. Momoi, et al.. (2000). Inhibition of Cytokinesis by a Lipid Metabolite, Psychosine. The Journal of Cell Biology. 149(4). 943–950. 94 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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