Zhixun Dou

7.3k total citations · 2 hit papers
32 papers, 3.2k citations indexed

About

Zhixun Dou is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Zhixun Dou has authored 32 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Epidemiology and 10 papers in Immunology. Recurrent topics in Zhixun Dou's work include Autophagy in Disease and Therapy (11 papers), interferon and immune responses (6 papers) and Telomeres, Telomerase, and Senescence (4 papers). Zhixun Dou is often cited by papers focused on Autophagy in Disease and Therapy (11 papers), interferon and immune responses (6 papers) and Telomeres, Telomerase, and Senescence (4 papers). Zhixun Dou collaborates with scholars based in United States, China and United Kingdom. Zhixun Dou's co-authors include Shelley L. Berger, Peter D. Adams, Greg Donahue, Joseph M. Catanzaro, Jiajun Zhu, Richard Z. Lin, Wei‐Xing Zong, Caiyue Xu, Terje Johansen and Ji-An Pan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Zhixun Dou

29 papers receiving 3.1k citations

Hit Papers

Autophagy mediates degradation of nuclear lamina 2015 2026 2018 2022 2015 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhixun Dou United States 23 1.9k 1.1k 586 584 437 32 3.2k
Frédéric Luciano France 31 2.8k 1.5× 859 0.8× 245 0.4× 1.2k 2.0× 492 1.1× 56 4.3k
David H. Perlmutter United States 30 1.4k 0.8× 1.2k 1.1× 315 0.5× 438 0.8× 1.0k 2.3× 54 3.8k
Ellen Triantafellow United States 7 2.2k 1.2× 506 0.5× 358 0.6× 434 0.7× 404 0.9× 9 3.2k
Akito Takamura Japan 10 1.8k 1.0× 2.8k 2.6× 346 0.6× 237 0.4× 821 1.9× 13 3.6k
Nabil Djouder Spain 25 1.1k 0.6× 472 0.4× 251 0.4× 437 0.7× 241 0.6× 47 2.2k
Brian C. Capell United States 24 2.5k 1.4× 460 0.4× 562 1.0× 272 0.5× 366 0.8× 44 3.4k
Toshiaki Inoue Japan 25 1.6k 0.9× 502 0.5× 286 0.5× 243 0.4× 191 0.4× 62 2.7k
Olivier Pluquet France 25 1.2k 0.7× 562 0.5× 364 0.6× 276 0.5× 921 2.1× 39 2.3k
Alex Lipovsky United States 12 1.9k 1.0× 563 0.5× 362 0.6× 458 0.8× 352 0.8× 17 3.0k
Takayuki Hoshii Japan 23 2.4k 1.3× 531 0.5× 148 0.3× 572 1.0× 227 0.5× 48 3.6k

Countries citing papers authored by Zhixun Dou

Since Specialization
Citations

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

Fields of papers citing papers by Zhixun Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhixun Dou

This figure shows the co-authorship network connecting the top 25 collaborators of Zhixun Dou. A scholar is included among the top collaborators of Zhixun Dou 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 Zhixun Dou. Zhixun Dou 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
2.
Wang, Weiqi, Zhixun Dou, Huiling Dai, et al.. (2025). RXLR effector SFI5 of Phytophthora infestans suppress MAMP-triggered immunity via inhibition of NbPHB1 in Nicotiana benthamiana. Plant Stress. 16. 100831–100831.
3.
Leduc, Andrew, et al.. (2025). Limiting the impact of protein leakage in single-cell proteomics. Nature Communications. 16(1). 4169–4169.
4.
Dou, Zhixun, Jill A. Kreiling, Susanne Heynen‐Genel, et al.. (2025). Cytosolic DNA crosstalk in senescence: a new axis of inflammatory signaling?. The EMBO Journal. 44(19). 5239–5243. 2 indexed citations
5.
He, Lingli, Ting Zhao, Wei Zhong Leong, et al.. (2024). AML Stem Cell Clearance By Inhibiting Selenoprotein Biosynthesis That Causes Cgas-Sting Activation and Ferroptosis. Blood. 144(Supplement 1). 1354–1354. 1 indexed citations
6.
Lin, Brian, Viral S. Shah, Jiawei Sun, et al.. (2024). Airway hillocks are injury-resistant reservoirs of unique plastic stem cells. Nature. 629(8013). 869–877. 23 indexed citations
7.
Onorati, Angelique, Aaron Havas, Brian Lin, et al.. (2022). Upregulation of PD-L1 in Senescence and Aging. Molecular and Cellular Biology. 42(10). e0017122–e0017122. 75 indexed citations
8.
Zhou, Zhuo, Xiaobo Lei, Xia Xiao, et al.. (2021). Sensing of cytoplasmic chromatin by cGAS activates innate immune response in SARS-CoV-2 infection. Signal Transduction and Targeted Therapy. 6(1). 382–382. 77 indexed citations
9.
Xu, Caiyue, Lu Wang, Parinaz Fozouni, et al.. (2020). SIRT1 is downregulated by autophagy in senescence and ageing. Nature Cell Biology. 22(10). 1170–1179. 357 indexed citations breakdown →
10.
Vizioli, Maria Grazia, Tianhui Liu, Karl N. Miller, et al.. (2020). Mitochondria-to-nucleus retrograde signaling drives formation of cytoplasmic chromatin and inflammation in senescence. Genes & Development. 34(5-6). 428–445. 233 indexed citations
11.
Sen, Payel, Yemin Lan, Simone Sidoli, et al.. (2019). Histone Acetyltransferase p300 Induces De Novo Super-Enhancers to Drive Cellular Senescence. Molecular Cell. 73(4). 684–698.e8. 106 indexed citations
12.
Wangensteen, Kirk J., Yue J. Wang, Zhixun Dou, et al.. (2017). Combinatorial genetics in liver repopulation and carcinogenesis with a in vivo CRISPR activation platform†. Hepatology. 68(2). 663–676. 61 indexed citations
13.
Pan, Ji-An, Alex J. Bott, Nadia Jaber, et al.. (2016). TRIM21 Ubiquitylates SQSTM1/p62 and Suppresses Protein Sequestration to Regulate Redox Homeostasis. Molecular Cell. 61(5). 720–733. 217 indexed citations
14.
Capell, Brian C., Adam Drake, Jiajun Zhu, et al.. (2016). MLL1 is essential for the senescence-associated secretory phenotype. Genes & Development. 30(3). 321–336. 118 indexed citations
15.
Dou, Zhixun, Caiyue Xu, Greg Donahue, et al.. (2015). Autophagy mediates degradation of nuclear lamina. Nature. 527(7576). 105–109. 484 indexed citations breakdown →
16.
Zhu, Jiajun, Morgan A. Sammons, Greg Donahue, et al.. (2015). Gain-of-function p53 mutants co-opt chromatin pathways to drive cancer growth. Nature. 525(7568). 206–211. 356 indexed citations
17.
Dou, Zhixun, Ji-An Pan, Hashem A. Dbouk, et al.. (2013). Class IA PI3K p110β Subunit Promotes Autophagy through Rab5 Small GTPase in Response to Growth Factor Limitation. Molecular Cell. 50(1). 29–42. 104 indexed citations
18.
Jaber, Nadia, Zhixun Dou, Richard Z. Lin, Jianhua Zhang, & Wei‐Xing Zong. (2012). Mammalian PIK3C3/VPS34. Autophagy. 8(4). 707–708. 22 indexed citations
19.
Jaber, Nadia, Zhixun Dou, Juei‐Suei Chen, et al.. (2012). Class III PI3K Vps34 plays an essential role in autophagy and in heart and liver function. Proceedings of the National Academy of Sciences. 109(6). 2003–2008. 299 indexed citations
20.
Zhou, Zhuo, Jie Yin, Zhixun Dou, et al.. (2007). The Calponin Homology Domain of Vav1 Associates with Calmodulin and Is Prerequisite to T Cell Antigen Receptor-induced Calcium Release in Jurkat T Lymphocytes. Journal of Biological Chemistry. 282(32). 23737–23744. 25 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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