Xiang Zhou

4.7k total citations · 2 hit papers
104 papers, 3.3k citations indexed

About

Xiang Zhou is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiang Zhou has authored 104 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 33 papers in Oncology and 24 papers in Cancer Research. Recurrent topics in Xiang Zhou's work include Cancer-related Molecular Pathways (26 papers), RNA modifications and cancer (26 papers) and MicroRNA in disease regulation (11 papers). Xiang Zhou is often cited by papers focused on Cancer-related Molecular Pathways (26 papers), RNA modifications and cancer (26 papers) and MicroRNA in disease regulation (11 papers). Xiang Zhou collaborates with scholars based in China, United States and Laos. Xiang Zhou's co-authors include Hua Lu, Qian Hao, Peng Liao, Jun‐Ming Liao, Wenjuan Liao, Shelya X. Zeng, Hua Lu, Jingling Liao, Hong Ling and Xiong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Xiang Zhou

98 papers receiving 3.3k citations

Hit Papers

Ribosomal proteins: functions beyond the ribosome 2015 2026 2018 2022 2015 2023 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ribosomal proteins: functions beyond the ribosome
    2015 488 citations Xiang Zhou, Jun‐Ming Liao et al. profile →
  2. Cuproptosis: p53-regulated metabolic cell death?
    2023 177 citations Xiong Chen, Hong Ling et al. Cell Death and Differentiation profile →

Peers

Xiang Zhou
Aniruddha Chatterjee New Zealand
Alessandro Quattrone Italy
Xiaowen Wang China
Ying Zhu China
Ming‐Yu Yang Taiwan
Jie Ma China
Gianluca Canettieri Italy
Kenneth E. Huffman United States
Martin Fischer Germany
Li Cai United States
Aniruddha Chatterjee New Zealand
Xiang Zhou
Citations per year, relative to Xiang Zhou Xiang Zhou (= 1×) peers Aniruddha Chatterjee

Countries citing papers authored by Xiang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Zhou. A scholar is included among the top collaborators of Xiang Zhou 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 Xiang Zhou. Xiang Zhou 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.
Hao, Qian, Yu Gan, Jing Tong, et al.. (2025). p53 transcriptionally activates DCP1B to suppress tumor progression and enhance tumor sensitivity to PI3K blockade in non-small cell lung cancer. Cell Death and Differentiation. 32(9). 1722–1733. 1 indexed citations
2.
Zhao, Tianyi, Xiaojun Chen, Jinchang Wu, et al.. (2025). YY1-induced USP43 drives ferroptosis suppression by FASN stabilization and subsequent activation of SLC7A11 in ovarian cancer. Cell Death and Disease. 16(1). 589–589.
3.
Zhang, Yaqi, Haoyi Wang, Yaofeng Wang, et al.. (2025). APC/C coactivators Cdh1 and Cdc20: Mechanistic insights into cancer progression and therapeutic opportunities. Cellular Signalling. 136. 112171–112171.
4.
5.
Zhou, Xiang, et al.. (2024). Metabolomics Profiling of Serum and Urine from Chuanzang Black Pigs with Different Residual Feed Intake. Animals. 14(16). 2323–2323. 1 indexed citations
6.
Chen, Xiong, et al.. (2024). AZD1775 synergizes with SLC7A11 inhibition to promote ferroptosis. Science China Life Sciences. 68(1). 204–218. 5 indexed citations
7.
Chen, Xiong, Hong Ling, Qian Hao, & Xiang Zhou. (2023). Cuproptosis: p53-regulated metabolic cell death?. Cell Death and Differentiation. 30(4). 876–884. 177 indexed citations breakdown →
8.
Zhang, Minghui, Xiang Zhou, Mengxuan Wang, et al.. (2023). HOXD8 suppresses renal cell carcinoma growth by upregulating SHMT1 expression. Cancer Science. 114(12). 4583–4595. 7 indexed citations
9.
Zhou, Xiang, Thuong Trinh‐Minh, Alexandru‐Emil Matei, et al.. (2023). Amelioration of Fibrotic Remodeling of Human 3‐Dimensional Full‐Thickness Skin by Transglutamase 2 Inhibition. Arthritis & Rheumatology. 75(9). 1619–1627. 8 indexed citations
10.
Wang, Jieqiong, Yajie Chen, Canhua Huang, et al.. (2021). Valosin-Containing Protein Stabilizes Mutant p53 to Promote Pancreatic Cancer Growth. Cancer Research. 81(15). 4041–4053. 13 indexed citations
11.
Chen, Yajie, Shanshan Wang, William C. Cho, Xiang Zhou, & Zhen Zhang. (2021). Prognostic Implication of the m6A RNA Methylation Regulators in Rectal Cancer. Frontiers in Genetics. 12. 604229–604229. 9 indexed citations
12.
Liao, Peng, Bo Cao, Xiang Zhou, et al.. (2020). Crotonylation at serine 46 impairs p53 activity. Biochemical and Biophysical Research Communications. 524(3). 730–735. 30 indexed citations
13.
Jung, Ji Hoon, Jun‐Ming Liao, Qi Zhang, et al.. (2015). Inauhzin(c) Inactivates c-Myc Independently of p53. Cancer Biology & Therapy. 16(3). 412–419. 13 indexed citations
14.
Liao, Jingling, Xiang Zhou, Anne Gatignol, & Hua Lu. (2013). Ribosomal proteins L5 and L11 co-operatively inactivate c-Myc via RNA-induced silencing complex. Oncogene. 33(41). 4916–4923. 78 indexed citations
15.
Hou, Yu, Jia Yuan, Xiang Zhou, et al.. (2012). DNA Demethylation and USF Regulate the Meiosis-Specific Expression of the Mouse Miwi. PLoS Genetics. 8(5). e1002716–e1002716. 32 indexed citations
16.
Liao, Jun‐Ming, Xiang Zhou, Yu Zhang, & Hua Lu. (2012). MiR-1246: A new link of the p53 family with cancer and Down syndrome. Cell Cycle. 11(14). 2624–2630. 63 indexed citations
17.
Zhou, Xiang, et al.. (2010). Identification, chromosomal mapping and conserved synteny of porcine Argonaute family of genes. Genetica. 138(7). 805–812. 13 indexed citations
18.
Ji, Wei, Xiang Zhou, Lars A. Ross, John J. Foxe, & Lucas C. Parra. (2009). Lip-Reading Aids Word Recognition Most in Moderate Noise: A Bayesian Explanation Using High-Dimensional Feature Space. PLoS ONE. 4(3). e4638–e4638. 144 indexed citations
19.
Zhao, Guoping, Xiang Zhou, Yukishige Ito, et al.. (2008). Structural and mutational studies on the importance of oligosaccharide binding for the activity of yeast PNGase. Glycobiology. 19(2). 118–125. 25 indexed citations
20.
Gao, Shang, Tao Zhang, Xiang Zhou, et al.. (2005). Molecular cloning, expression ofSox5 and its down-regulation ofDmrt1 transcription in Zebrafish. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 304B(5). 476–483. 22 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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