Hiroyuki Inuzuka

10.1k total citations · 3 hit papers
139 papers, 6.5k citations indexed

About

Hiroyuki Inuzuka is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Hiroyuki Inuzuka has authored 139 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 44 papers in Oncology and 29 papers in Cell Biology. Recurrent topics in Hiroyuki Inuzuka's work include Ubiquitin and proteasome pathways (67 papers), Cancer-related Molecular Pathways (26 papers) and Protein Degradation and Inhibitors (20 papers). Hiroyuki Inuzuka is often cited by papers focused on Ubiquitin and proteasome pathways (67 papers), Cancer-related Molecular Pathways (26 papers) and Protein Degradation and Inhibitors (20 papers). Hiroyuki Inuzuka collaborates with scholars based in United States, Japan and China. Hiroyuki Inuzuka's co-authors include Wenyi Wei, Pengda Liu, Zhiwei Wang, Daming Gao, Lixin Wan, Shavali Shaik, Hidefumi Fukushima, Alan W. Lau, Alex Toker and Alan Tseng and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hiroyuki Inuzuka

135 papers receiving 6.5k citations

Hit Papers

SCFFBW7 regulates cellular apoptosis by targeting MCL1 fo... 2011 2026 2016 2021 2011 2014 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroyuki Inuzuka United States 45 5.2k 1.8k 986 933 541 139 6.5k
Viji Shridhar United States 47 4.5k 0.9× 1.4k 0.8× 1.2k 1.2× 1.4k 1.5× 427 0.8× 126 7.2k
Alan P. Fields United States 54 6.1k 1.2× 1.8k 1.0× 1.4k 1.4× 1.1k 1.1× 287 0.5× 120 7.9k
Per Hydbring Sweden 20 3.6k 0.7× 1.5k 0.8× 754 0.8× 708 0.8× 316 0.6× 38 5.0k
Brendan D. Price United States 43 6.0k 1.2× 2.0k 1.1× 786 0.8× 1.1k 1.2× 379 0.7× 86 7.3k
Masatoshi Kitagawa Japan 46 5.9k 1.1× 2.7k 1.5× 1.0k 1.0× 1.8k 2.0× 402 0.7× 144 7.8k
Ashani T. Weeraratna United States 40 3.9k 0.8× 1.8k 1.0× 916 0.9× 1.1k 1.1× 289 0.5× 114 6.6k
Henrik Daub Germany 35 5.4k 1.0× 1.7k 0.9× 1.1k 1.1× 524 0.6× 325 0.6× 56 7.6k
Haiyong Han United States 44 4.8k 0.9× 2.1k 1.2× 719 0.7× 1.1k 1.1× 256 0.5× 114 7.1k
Oliver Bögler United States 35 3.8k 0.7× 1.0k 0.6× 631 0.6× 1.3k 1.4× 499 0.9× 86 5.5k
Andrew E. Aplin United States 47 5.4k 1.0× 1.9k 1.1× 1.5k 1.6× 1.2k 1.3× 422 0.8× 121 7.8k

Countries citing papers authored by Hiroyuki Inuzuka

Since Specialization
Citations

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

Fields of papers citing papers by Hiroyuki Inuzuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyuki Inuzuka

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyuki Inuzuka. A scholar is included among the top collaborators of Hiroyuki Inuzuka 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 Hiroyuki Inuzuka. Hiroyuki Inuzuka 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, Zhen, Dingpeng Zhang, Hiroyuki Inuzuka, & Wenyi Wei. (2025). PROTAC technology for prostate cancer treatment. PubMed. 4(1). 99–121. 3 indexed citations
2.
Huang, Daoyuan, Jingchao Wang, Li Chen, et al.. (2025). Targeting the PARylation-Dependent Ubiquitination Signaling Pathway for Cancer Therapies. Biomolecules. 15(2). 237–237. 1 indexed citations
3.
Inuzuka, Hiroyuki, Peter J. Castaldi, Jeong H. Yun, et al.. (2025). HHIP protein interactions in lung cells provide insight into COPD pathogenesis. Human Molecular Genetics. 34(9). 777–789. 1 indexed citations
4.
Shimizu, Kouhei, Hiroyuki Inuzuka, & Fuminori Tokunaga. (2024). The interplay between cell death and senescence in cancer. Seminars in Cancer Biology. 108. 1–16. 6 indexed citations
5.
Deng, Zhijie, Li Chen, Jing Liu, et al.. (2024). The First‐In‐Class Deubiquitinase‐Targeting Chimera Stabilizes and Activates cGAS. Angewandte Chemie International Edition. 64(3). e202415168–e202415168. 12 indexed citations
6.
Wang, Jingchao, et al.. (2023). Aging and cancer hallmarks as therapeutic targets. SHILAP Revista de lepidopterología. 2(3). 18 indexed citations
7.
Peng, Yunhua, Jing Liu, Hiroyuki Inuzuka, & Wenyi Wei. (2023). Targeted protein posttranslational modifications by chemically induced proximity for cancer therapy. Journal of Biological Chemistry. 299(4). 104572–104572. 33 indexed citations
8.
Zheng, Yawen, Hiroyuki Inuzuka, Wenyi Wei, & Yi Sun. (2023). Protein neddylation in lung tumorigenesis: Target validation and targeted therapy. Fundamental Research. 5(5). 2052–2061.
9.
Wang, Zhen, Jing Liu, Xing Qiu, et al.. (2023). Methylated Nucleotide-Based Proteolysis-Targeting Chimera Enables Targeted Degradation of Methyl-CpG-Binding Protein 2. Journal of the American Chemical Society. 145(40). 21871–21878. 9 indexed citations
10.
Wang, Jingchao, et al.. (2023). An intrinsic connection between COVID-19 and aging. SHILAP Revista de lepidopterología. 2(3). 2 indexed citations
11.
Gong, Hao, Cheng Zhang, Takuya Ogaki, et al.. (2021). Azacalix[3]triazines: A Substructure of Triazine‐Based Graphitic Carbon Nitride Featuring Anion‐π Interactions. Angewandte Chemie. 133(30). 16513–16517. 1 indexed citations
12.
Gong, Hao, Cheng Zhang, Takuya Ogaki, et al.. (2021). Azacalix[3]triazines: A Substructure of Triazine‐Based Graphitic Carbon Nitride Featuring Anion‐π Interactions. Angewandte Chemie International Edition. 60(30). 16377–16381. 10 indexed citations
13.
Zhang, Cheng, Yuan Guo, Dan He, et al.. (2020). A Design Principle for Polar Assemblies with C3‐Sym Bowl‐Shaped π‐Conjugated Molecules. Angewandte Chemie International Edition. 60(6). 3261–3267. 22 indexed citations
14.
Zhang, Cheng, Yuan Guo, Dan He, et al.. (2020). A Design Principle for Polar Assemblies with C3‐Sym Bowl‐Shaped π‐Conjugated Molecules. Angewandte Chemie. 133(6). 3298–3304. 4 indexed citations
15.
Saito, Kan, Frédéric Michon, Aya Yamada, et al.. (2020). Sox21 Regulates Anapc10 Expression and Determines the Fate of Ectodermal Organ. iScience. 23(7). 101329–101329. 22 indexed citations
16.
Inuzuka, Hiroyuki, et al.. (2018). Skp2-dependent reactivation of AKT drives resistance to PI3K inhibitors. Science Signaling. 11(521). 46 indexed citations
17.
Takada, Mamoru, Weiguo Zhang, Aussie Suzuki, et al.. (2017). FBW7 Loss Promotes Chromosomal Instability and Tumorigenesis via Cyclin E1/CDK2–Mediated Phosphorylation of CENP-A. Cancer Research. 77(18). 4881–4893. 67 indexed citations
18.
Gan, Wenjian, Xiangpeng Dai, Andrea Lunardi, et al.. (2015). SPOP Promotes Ubiquitination and Degradation of the ERG Oncoprotein to Suppress Prostate Cancer Progression. PMC. 1 indexed citations
19.
Aoyama, Mineyoshi, Toshinori Ozaki, Hiroyuki Inuzuka, et al.. (2005). LMO3 Interacts with Neuronal Transcription Factor, HEN2, and Acts as an Oncogene in Neuroblastoma. Cancer Research. 65(11). 4587–4597. 95 indexed citations
20.
Inuzuka, Hiroyuki, Hiroshi Tokumitsu, Naganari Ohkura, & Ryōji Kobayashi. (2002). Transcriptional regulation of nuclear orphan receptor, NOR‐1, by Ca2+/calmodulin‐dependent protein kinase cascade. FEBS Letters. 522(1-3). 88–92. 12 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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