Yuzuru Shiio

2.8k total citations
34 papers, 1.9k citations indexed

About

Yuzuru Shiio is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yuzuru Shiio has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Yuzuru Shiio's work include Ubiquitin and proteasome pathways (14 papers), Epigenetics and DNA Methylation (8 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Yuzuru Shiio is often cited by papers focused on Ubiquitin and proteasome pathways (14 papers), Epigenetics and DNA Methylation (8 papers) and Cancer, Hypoxia, and Metabolism (5 papers). Yuzuru Shiio collaborates with scholars based in United States, Switzerland and Slovakia. Yuzuru Shiio's co-authors include Robert N. Eisenman, Ruedi Aebersold, Meihua Song, Susan T. Weintraub, David J. Elzi, Kevin Hakala, Sam Donohoe, Takashi Yamamoto, Nobuo Yamaguchi and Eugene C. Yi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yuzuru Shiio

34 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuzuru Shiio United States 21 1.5k 364 292 176 161 34 1.9k
Anna Malovannaya United States 22 1.4k 1.0× 294 0.8× 187 0.6× 210 1.2× 369 2.3× 55 1.9k
Philipp F. Lange Canada 20 1.2k 0.8× 545 1.5× 341 1.2× 361 2.1× 87 0.5× 46 1.9k
Jaco C. Knol Netherlands 27 1.2k 0.8× 342 0.9× 384 1.3× 377 2.1× 68 0.4× 68 1.8k
Chiara Francavilla Denmark 23 1.5k 1.0× 308 0.8× 221 0.8× 389 2.2× 105 0.7× 40 1.9k
Kelly M. McGarvey United States 13 2.1k 1.4× 256 0.7× 334 1.1× 83 0.5× 291 1.8× 15 2.5k
Vyacheslav Akimov Denmark 17 1.2k 0.8× 303 0.8× 170 0.6× 231 1.3× 97 0.6× 34 1.6k
J. Patrick Murphy Canada 18 841 0.6× 194 0.5× 324 1.1× 81 0.5× 287 1.8× 40 1.2k
Vittoria Matafora Italy 21 879 0.6× 151 0.4× 237 0.8× 79 0.4× 73 0.5× 40 1.3k
Claudio P. Albuquerque United States 16 1.9k 1.3× 168 0.5× 192 0.7× 157 0.9× 112 0.7× 22 2.2k
Xuecui Guo Canada 11 815 0.5× 515 1.4× 147 0.5× 70 0.4× 78 0.5× 13 1.2k

Countries citing papers authored by Yuzuru Shiio

Since Specialization
Citations

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

Fields of papers citing papers by Yuzuru Shiio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuzuru Shiio

This figure shows the co-authorship network connecting the top 25 collaborators of Yuzuru Shiio. A scholar is included among the top collaborators of Yuzuru Shiio 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 Yuzuru Shiio. Yuzuru Shiio 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.
Ma, Xiuye, et al.. (2024). Roles of USP1 in Ewing sarcoma. Genes & Cancer. 15. 15–27. 1 indexed citations
2.
Suvarna, Kruthi, Xiuye Ma, Hu Wang, et al.. (2024). Ceramide-induced cleavage of GPR64 intracellular domain drives Ewing sarcoma. Cell Reports. 43(8). 114497–114497. 1 indexed citations
3.
Shackleford, Terry J., Angelina V. Vaseva, Hemant K. Bid, et al.. (2023). Redundant Signaling as the Predominant Mechanism for Resistance to Antibodies Targeting the Type-I Insulin-Like Growth Factor Receptor in Cells Derived from Childhood Sarcoma. Molecular Cancer Therapeutics. 22(4). 539–550. 5 indexed citations
4.
Zhou, Fuchun, Xiuye Ma, Susan T. Weintraub, et al.. (2023). Nitric oxide suppression by secreted frizzled-related protein 2 drives retinoblastoma. Cell Reports. 42(2). 112103–112103. 4 indexed citations
5.
Mathsyaraja, Haritha, Brian Freie, Emily Eastwood, et al.. (2021). Loss of MGA repression mediated by an atypical polycomb complex promotes tumor progression and invasiveness. eLife. 10. 24 indexed citations
6.
Zhou, Fuchun, Xiufen Lei, Xiuye Ma, et al.. (2021). NELL2-cdc42 signaling regulates BAF complexes and Ewing sarcoma cell growth. Cell Reports. 36(1). 109254–109254. 13 indexed citations
7.
Zhou, Fuchun, David J. Elzi, Xiuye Ma, et al.. (2020). GDF6-CD99 Signaling Regulates Src and Ewing Sarcoma Growth. Cell Reports. 33(5). 108332–108332. 22 indexed citations
8.
Elzi, David J., Meihua Song, & Yuzuru Shiio. (2015). Role of galactose in cellular senescence. Experimental Gerontology. 73. 1–4. 21 indexed citations
9.
Delic, Sabit, Anja Stelzl, Marietta Wolter, et al.. (2013). MiR-328 promotes glioma cell invasion via SFRP1-dependent Wnt-signaling activation. Neuro-Oncology. 16(2). 179–190. 79 indexed citations
10.
Song, Meihua, et al.. (2012). The interaction of the von Hippel-Lindau tumor suppressor and heterochromatin protein 1. Archives of Biochemistry and Biophysics. 518(2). 103–110. 11 indexed citations
11.
Elzi, David J., Yanlai Lai, Meihua Song, et al.. (2012). Plasminogen activator inhibitor 1 - insulin-like growth factor binding protein 3 cascade regulates stress-induced senescence. Proceedings of the National Academy of Sciences. 109(30). 12052–12057. 118 indexed citations
12.
Elzi, David J., Meihua Song, Kevin Hakala, Susan T. Weintraub, & Yuzuru Shiio. (2012). Wnt Antagonist SFRP1 Functions as a Secreted Mediator of Senescence. Molecular and Cellular Biology. 32(21). 4388–4399. 66 indexed citations
13.
Lai, Yanlai, Meihua Song, Kevin Hakala, Susan T. Weintraub, & Yuzuru Shiio. (2011). Proteomic Dissection of the von Hippel–Lindau (VHL) Interactome. Journal of Proteome Research. 10(11). 5175–5182. 33 indexed citations
14.
Shiio, Yuzuru & Ruedi Aebersold. (2006). Quantitative proteome analysis using isotope-coded affinity tags and mass spectrometry. Nature Protocols. 1(1). 139–145. 138 indexed citations
15.
Shiio, Yuzuru, et al.. (2006). Identification and Characterization of SAP25, a Novel Component of the mSin3 Corepressor Complex. Molecular and Cellular Biology. 26(4). 1386–1397. 46 indexed citations
16.
Shiio, Yuzuru, Kwang S. Suh, Hookeun Lee, et al.. (2005). Quantitative Proteomic Analysis of Myc-induced Apoptosis. Journal of Biological Chemistry. 281(5). 2750–2756. 60 indexed citations
17.
Vaqué, José P., Yuzuru Shiio, Marikki Laiho, et al.. (2004). Myc Antagonizes Ras-mediated Growth Arrest in Leukemia Cells through the Inhibition of the Ras-ERK-p21Cip1 Pathway. Journal of Biological Chemistry. 280(2). 1112–1122. 39 indexed citations
18.
Shiio, Yuzuru & Robert N. Eisenman. (2003). Histone sumoylation is associated with transcriptional repression. Proceedings of the National Academy of Sciences. 100(23). 13225–13230. 483 indexed citations
19.
Shiio, Yuzuru, Sam Donohoe, Eugene C. Yi, et al.. (2002). Quantitative proteomic analysis of Myc oncoprotein function. The EMBO Journal. 21(19). 5088–5096. 151 indexed citations
20.
McArthur, Grant A., Carol D. Laherty, Peter J. Hurlin, et al.. (1998). The Mad Protein Family Links Transcriptional Repression to Cell Differentiation. Cold Spring Harbor Symposia on Quantitative Biology. 63(0). 423–434. 49 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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