Kazuo Fushimi

2.9k total citations
35 papers, 2.0k citations indexed

About

Kazuo Fushimi is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Kazuo Fushimi has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Neurology and 7 papers in Oncology. Recurrent topics in Kazuo Fushimi's work include RNA Research and Splicing (8 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Cancer-related Molecular Pathways (6 papers). Kazuo Fushimi is often cited by papers focused on RNA Research and Splicing (8 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Cancer-related Molecular Pathways (6 papers). Kazuo Fushimi collaborates with scholars based in Japan, United States and China. Kazuo Fushimi's co-authors include Jane Y. Wu, Koichiro Mihara, Masayoshi Namba, Xiaoping Chen, Tohru Ohe, Hirosuke Kouchi, Masahiro Miyazaki, Kazufumi Nakamura, Payal Ray and Amar N. Kar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Kazuo Fushimi

35 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuo Fushimi Japan 20 1.3k 647 358 293 232 35 2.0k
Gillian M. Borthwick United Kingdom 19 1.1k 0.8× 287 0.4× 158 0.4× 237 0.8× 160 0.7× 28 1.8k
Xingli Li United States 18 905 0.7× 496 0.8× 384 1.1× 126 0.4× 88 0.4× 30 1.4k
Stephanie Weber Germany 17 750 0.6× 772 1.2× 276 0.8× 265 0.9× 44 0.2× 27 1.5k
Thierry Bordet France 25 837 0.6× 352 0.5× 310 0.9× 195 0.7× 54 0.2× 35 1.5k
Elmar Kirches Germany 27 1.2k 0.9× 641 1.0× 490 1.4× 139 0.5× 23 0.1× 103 2.3k
Dara Ditsworth United States 19 2.0k 1.5× 748 1.2× 509 1.4× 242 0.8× 39 0.2× 21 3.2k
Didier Pruneau France 25 734 0.6× 156 0.2× 781 2.2× 216 0.7× 244 1.1× 80 1.8k
Alexandra Szalad United States 20 750 0.6× 155 0.2× 112 0.3× 295 1.0× 68 0.3× 27 1.5k
Gail Walkinshaw United States 19 566 0.4× 232 0.4× 70 0.2× 217 0.7× 96 0.4× 30 1.5k
Haiyang Yu United States 18 1.1k 0.8× 307 0.5× 202 0.6× 136 0.5× 27 0.1× 26 1.6k

Countries citing papers authored by Kazuo Fushimi

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Fushimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuo Fushimi

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Fushimi. A scholar is included among the top collaborators of Kazuo Fushimi 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 Kazuo Fushimi. Kazuo Fushimi 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.
Wang, Peng, Jianwen Deng, Jie Dong, et al.. (2019). TDP-43 induces mitochondrial damage and activates the mitochondrial unfolded protein response. PLoS Genetics. 15(5). e1007947–e1007947. 182 indexed citations
2.
Chen, Yanbo, Jianwen Deng, Peng Wang, et al.. (2016). PINK1 and Parkin are genetic modifiers for FUS-induced neurodegeneration. Human Molecular Genetics. 25(23). ddw310–ddw310. 39 indexed citations
3.
Deng, Jianwen, Mengxue Yang, Yanbo Chen, et al.. (2015). FUS Interacts with HSP60 to Promote Mitochondrial Damage. PLoS Genetics. 11(9). e1005357–e1005357. 149 indexed citations
4.
Huang, Zhaohui, Pushuai Wen, Ruirui Kong, et al.. (2014). USP33 mediates Slit‐Robo signaling in inhibiting colorectal cancer cell migration. International Journal of Cancer. 136(8). 1792–1802. 51 indexed citations
5.
Zhu, Li, Meng Xu, Mengxue Yang, et al.. (2014). An ALS-mutant TDP-43 neurotoxic peptide adopts an anti-parallel β-structure and induces TDP-43 redistribution. Human Molecular Genetics. 23(25). 6863–6877. 46 indexed citations
6.
Kong, Ruirui, Payal Ray, Mengxue Yang, et al.. (2013). Alternative Pre-mRNA Splicing, Cell Death, and Cancer. Cancer treatment and research. 158. 181–212. 3 indexed citations
7.
Chen, Yanbo, Mengxue Yang, Jianwen Deng, et al.. (2011). Expression of human FUS protein in Drosophila leads to progressive neurodegeneration. Protein & Cell. 2(6). 477–486. 81 indexed citations
8.
Ray, Payal, Amar N. Kar, Kazuo Fushimi, et al.. (2011). PSF Suppresses Tau Exon 10 Inclusion by Interacting with a Stem-Loop Structure Downstream of Exon 10. Journal of Molecular Neuroscience. 45(3). 453–466. 37 indexed citations
9.
Kar, Amar N., Kazuo Fushimi, Xiaohong Zhou, et al.. (2011). RNA Helicase p68 (DDX5) Regulates tau Exon 10 Splicing by Modulating a Stem-Loop Structure at the 5′ Splice Site. Molecular and Cellular Biology. 31(9). 1812–1821. 99 indexed citations
10.
Fushimi, Kazuo, et al.. (2011). Expression of human FUS/TLS in yeast leads to protein aggregation and cytotoxicity, recapitulating key features of FUS proteinopathy. Protein & Cell. 2(2). 141–149. 75 indexed citations
11.
Fushimi, Kazuo, Noriko Osumi, & Toshifumi Tsukahara. (2005). NSSRs/TASRs/SRp38s function as splicing modulators via binding to pre‐mRNAs. Genes to Cells. 10(6). 531–541. 9 indexed citations
12.
Mihara, Koichiro, et al.. (2002). Regulation of the α-fetoprotein gene by the isoforms of ATBF1 transcription factor in human hepatoma. Hepatology. 35(1). 82–87. 23 indexed citations
13.
Miyazaki, Masahiro, et al.. (1999). Enhanced activity of cyclin A-associated kinase in immortalized human fibroblasts. International Journal of Cancer. 82(5). 754–758. 5 indexed citations
14.
Akiba, T., Tomoyuki Ota, Kazuo Fushimi, et al.. (1999). Water channel AQP-1 in the primary cell culture of rat peritoneum.. PubMed. 15. 3–6. 7 indexed citations
15.
Fushimi, Kazuo, et al.. (1998). Establishment of a human fibroblast cell line producing tumor necrosis factor α (KMST-6/TNF) and growth inhibitory effects of its conditioned medium on malignant cells in culture. In Vitro Cellular & Developmental Biology - Animal. 34(6). 463–467. 2 indexed citations
16.
Fushimi, Kazuo, et al.. (1997). Immortalization of mutant p53-transfected human fibroblasts by treatment with either 4-nitroquinoline 1-oxide or x-rays. In Vitro Cellular & Developmental Biology - Animal. 33(8). 628–632. 4 indexed citations
17.
Fushimi, Kazuo, Mikio Iijima, Chong Gao, et al.. (1997). Transformation of normal human fibroblasts into immortalized cells with the mutant p53 gene and X-rays. International Journal of Cancer. 70(1). 135–140. 19 indexed citations
18.
Mihara, Koichiro, Masahiro Miyazaki, Tadashi Kondo, et al.. (1997). Yeast functional assay of the p53 gene status in human cell lines maintained in our laboratory.. PubMed. 51(5). 261–5. 5 indexed citations
19.
Namba, Masayoshi, Koichiro Mihara, & Kazuo Fushimi. (1996). Immortalization of Human Cells and Its Mechanisms. Critical Reviews™ in Oncogenesis. 7(1-2). 19–32. 33 indexed citations
20.
Tang, Xiao-Song, Kazuo Fushimi, & Kimiyuki Satoh. (1990). D1‐D2 complex of the photosystem II reaction center from spinach Isolation and partial characterization. FEBS Letters. 273(1-2). 257–260. 41 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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