Kewen Zhao

1.2k total citations
29 papers, 896 citations indexed

About

Kewen Zhao is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Kewen Zhao has authored 29 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Hematology. Recurrent topics in Kewen Zhao's work include Kruppel-like factors research (6 papers), MicroRNA in disease regulation (4 papers) and Epigenetics and DNA Methylation (4 papers). Kewen Zhao is often cited by papers focused on Kruppel-like factors research (6 papers), MicroRNA in disease regulation (4 papers) and Epigenetics and DNA Methylation (4 papers). Kewen Zhao collaborates with scholars based in China, United States and Thailand. Kewen Zhao's co-authors include Jin‐Tang Dong, Xiaodong Sun, Peng Guo, Xue–Yuan Dong, Guoqiang Chen, Qunna Li, Zhiwu Dong, Lei Huang, Zhi Pang and Feifei Li and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kewen Zhao

28 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kewen Zhao China 17 743 267 119 111 93 29 896
Mingqiang Ren United States 18 586 0.8× 107 0.4× 127 1.1× 99 0.9× 127 1.4× 41 837
Aurélie Rossin France 14 702 0.9× 149 0.6× 129 1.1× 114 1.0× 123 1.3× 21 846
Federica Brugnoli Italy 17 563 0.8× 210 0.8× 232 1.9× 73 0.7× 138 1.5× 58 895
Wen-Bin Tsai United States 12 531 0.7× 261 1.0× 206 1.7× 135 1.2× 23 0.2× 13 859
Stephan Geley Austria 14 634 0.9× 119 0.4× 185 1.6× 77 0.7× 40 0.4× 16 879
Max Hamaker United States 6 795 1.1× 721 2.7× 111 0.9× 58 0.5× 51 0.5× 9 1.1k
Jeung-Whan Han South Korea 17 797 1.1× 125 0.5× 136 1.1× 72 0.6× 30 0.3× 27 957
Nora D. Mineva United States 10 801 1.1× 273 1.0× 315 2.6× 127 1.1× 31 0.3× 13 1.2k
Georgia Chachami Greece 18 786 1.1× 607 2.3× 210 1.8× 121 1.1× 76 0.8× 27 1.2k

Countries citing papers authored by Kewen Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kewen Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kewen Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kewen Zhao. A scholar is included among the top collaborators of Kewen Zhao 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 Kewen Zhao. Kewen Zhao 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.
2.
Dong, Zhiwu, et al.. (2025). miR‐1275 Delivered via Mesenchymal Stem Cell‐Derived Extracellular Vesicles Regulates ER‐Phagy Through AXIN2 in Nucleus Pulposus Cells. Stem Cells International. 2025(1). 5091529–5091529. 1 indexed citations
3.
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Mo, Jialin, Hao Shi, Feng Chen, et al.. (2024). CRISPR-Cas9 screening develops an epigenetic and transcriptional gene signature for risk stratification and target prediction in neuroblastoma. Frontiers in Cell and Developmental Biology. 12. 1433008–1433008. 1 indexed citations
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6.
Mo, Jialin, Yu Dong, Wenjie Lu, et al.. (2022). Therapeutic targeting the oncogenic driver EWSR1::FLI1 in Ewing sarcoma through inhibition of the FACT complex. Oncogene. 42(1). 11–25. 11 indexed citations
7.
Mo, Jialin, Fang Liu, Xi Sun, et al.. (2021). Inhibition of the FACT Complex Targets Aberrant Hedgehog Signaling and Overcomes Resistance to Smoothened Antagonists. Cancer Research. 81(11). 3105–3120. 12 indexed citations
8.
Dong, Zhiwu, Qiang Guo, Shuang Liang, et al.. (2021). Profiling of Serum Exosome MiRNA Reveals the Potential of a MiRNA Panel as Diagnostic Biomarker for Alzheimer’s Disease. Molecular Neurobiology. 58(7). 3084–3094. 80 indexed citations
9.
Liu, Xiaoming, et al.. (2019). Diversity and frequency of resistance and virulence genes in blaKPC and blaNDM co-producing Klebsiella pneumoniae strains from China. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Lv, Yaping, Wei Cang, Quanfu Li, et al.. (2019). Erlotinib overcomes paclitaxel-resistant cancer stem cells by blocking the EGFR-CREB/GRβ-IL-6 axis in MUC1-positive cervical cancer. Oncogenesis. 8(12). 70–70. 35 indexed citations
11.
Zhao, Xinyu, Lei Li, Xiaobo Wang, et al.. (2016). Inhibition of Snail Family Transcriptional Repressor 2 (SNAI2) Enhances Multidrug Resistance of Hepatocellular Carcinoma Cells. PLoS ONE. 11(10). e0164752–e0164752. 12 indexed citations
12.
Dong, Zhiwu, et al.. (2016). Autophagy as a target for hematological malignancy therapy. Blood Reviews. 30(5). 369–380. 31 indexed citations
13.
Chen, Chiqi, Kang Yu, Chongyun Xing, et al.. (2013). Pure curcumin increases the expression of SOCS1 and SOCS3 in myeloproliferative neoplasms through suppressing class Ι histone deacetylases. Carcinogenesis. 34(7). 1442–1449. 57 indexed citations
14.
Guo, Peng, Kewen Zhao, Xue–Yuan Dong, Xiaodong Sun, & Jin‐Tang Dong. (2009). Acetylation of KLF5 Alters the Assembly of p15 Transcription Factors in Transforming Growth Factor-β-mediated Induction in Epithelial Cells. Journal of Biological Chemistry. 284(27). 18184–18193. 62 indexed citations
15.
Guo, Peng, Xue–Yuan Dong, Kewen Zhao, et al.. (2009). Estrogen‐induced interaction between KLF5 and estrogen receptor (ER) suppresses the function of ER in ER‐positive breast cancer cells. International Journal of Cancer. 126(1). 81–89. 26 indexed citations
16.
Liao, Shihua, Jing Zhang, Li‐Shun Wang, et al.. (2009). Proteomics‐based identification of two novel direct targets of hypoxia‐inducible factor‐1 and their potential roles in migration/invasion of cancer cells. PROTEOMICS. 9(15). 3901–3912. 58 indexed citations
17.
Guo, Peng, Xue–Yuan Dong, Kewen Zhao, et al.. (2009). Opposing Effects of KLF5 on the Transcription of MYC in Epithelial Proliferation in the Context of Transforming Growth Factor β. Journal of Biological Chemistry. 284(41). 28243–28252. 41 indexed citations
18.
Guo, Peng, Xue–Yuan Dong, Kewen Zhao, et al.. (2008). Pro-proliferative Factor KLF5 Becomes Anti-proliferative in Epithelial Homeostasis upon Signaling-mediated Modification. Journal of Biological Chemistry. 284(10). 6071–6078. 66 indexed citations
19.
Gao, Feng‐Hou, Qiong Wang, Yingli Wu, et al.. (2007). c-Jun N-terminal kinase mediates AML1-ETO protein-induced connexin-43 expression. Biochemical and Biophysical Research Communications. 356(2). 505–511. 24 indexed citations
20.
Li, Xi, Qiong Wang, Ying Lu, et al.. (2006). Leukemogenic AML1‐ETO fusion protein upregulates expression of connexin 43: The role in AML1‐ETO‐induced growth arrest in leukemic cells. Journal of Cellular Physiology. 208(3). 594–601. 28 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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