Mei Zhou

1.3k total citations
37 papers, 950 citations indexed

About

Mei Zhou is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Mei Zhou has authored 37 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Genetics. Recurrent topics in Mei Zhou's work include Acute Myeloid Leukemia Research (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Plant Stress Responses and Tolerance (3 papers). Mei Zhou is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Nanoplatforms for cancer theranostics (3 papers) and Plant Stress Responses and Tolerance (3 papers). Mei Zhou collaborates with scholars based in China, United States and Japan. Mei Zhou's co-authors include Emily Tate, Noa Zerangue, Lori M. Roberts, Deborah S. Black, Kent K. Grindstaff, Gangadhara R. Sareddy, Ratna K. Vadlamudi, Suryavathi Viswanadhapalli, Rajeshwar R. Tekmal and Andrew Brenner and has published in prestigious journals such as Molecular Cell, PLoS ONE and Cancer Research.

In The Last Decade

Mei Zhou

36 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Zhou China 17 423 183 173 137 97 37 950
Maria L. Cortés United States 12 675 1.6× 70 0.4× 138 0.8× 219 1.6× 96 1.0× 15 1.5k
Kathleen McGlynn United States 18 727 1.7× 153 0.8× 107 0.6× 186 1.4× 75 0.8× 31 1.2k
Rubén W. Carón Argentina 16 452 1.1× 125 0.7× 264 1.5× 111 0.8× 187 1.9× 45 1.0k
Terra Arnason Canada 19 664 1.6× 138 0.8× 200 1.2× 59 0.4× 66 0.7× 47 1.1k
Huan Yang United States 23 886 2.1× 492 2.7× 87 0.5× 113 0.8× 134 1.4× 74 1.7k
Maria Andries Belgium 20 777 1.8× 369 2.0× 111 0.6× 163 1.2× 65 0.7× 37 1.5k
Sui Wang United States 22 1.1k 2.5× 184 1.0× 89 0.5× 366 2.7× 121 1.2× 52 1.7k
Darren E. Casteel United States 27 1.4k 3.4× 125 0.7× 245 1.4× 245 1.8× 166 1.7× 53 2.1k
Prasenjit Mitra India 15 615 1.5× 104 0.6× 157 0.9× 62 0.5× 43 0.4× 40 969

Countries citing papers authored by Mei Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Mei Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Zhou. A scholar is included among the top collaborators of Mei 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 Mei Zhou. Mei 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.
Zhou, Mei, et al.. (2024). Risk Factors for Rebleeding After Endoscopic Injection of Cyanoacrylate Glue for Gastric Varices: A Systematic Review and Meta-Analysis. Digestive Diseases and Sciences. 69(8). 2890–2903. 2 indexed citations
2.
Ding, Yanfei, Mei Zhou, Ke Wang, et al.. (2023). Rice DST transcription factor negatively regulates heat tolerance through ROS-mediated stomatal movement and heat-responsive gene expression. Frontiers in Plant Science. 14. 1068296–1068296. 17 indexed citations
3.
Zhang, Qing, Linlin Liu, Mei Zhou, et al.. (2023). Prognostic value of the WT-1 gene combined with recurrent cytogenetic genes in acute myeloid leukemia. Immunogenetics. 75(4). 395–401. 1 indexed citations
4.
5.
Huang, Lingzhi, et al.. (2022). Gene Networks Involved in Plant Heat Stress Response and Tolerance. International Journal of Molecular Sciences. 23(19). 11970–11970. 31 indexed citations
6.
S, Fu, Jian Ping Gong, Mei Zhou, et al.. (2022). Risk Factors of Non-en Bloc Resection and Non-R0 Resection During Endoscopic Resection in the Treatment of Superficial Duodenal Epithelial Lesions. Frontiers in Oncology. 12. 881815–881815. 1 indexed citations
7.
8.
Tao, Qianshan, et al.. (2022). Monocytic Myeloid-Derived Suppressor Cells But Not Monocytes Predict Poor Prognosis of Acute Myeloid Leukemia. Turkish Journal of Hematology. 39(4). 230–236. 7 indexed citations
9.
Li, Boying, Ning Li, Liquan Chen, et al.. (2022). Alleviating Neuroinflammation through Photothermal Conjugated Polymer Nanoparticles by Regulating Reactive Oxygen Species and Ca2+ Signaling. ACS Applied Materials & Interfaces. 14(43). 48416–48425. 13 indexed citations
10.
Zhou, Mei, Prabhakar Pitta Venkata, Suryavathi Viswanadhapalli, et al.. (2020). KDM1A inhibition is effective in reducing stemness and treating triple negative breast cancer. Breast Cancer Research and Treatment. 185(2). 343–357. 32 indexed citations
11.
12.
Wang, Huiping, Qianshan Tao, Zhitao Wang, et al.. (2020). Circulating Monocytic Myeloid‐Derived Suppressor Cells Are Elevated and Associated with Poor Prognosis in Acute Myeloid Leukemia. Journal of Immunology Research. 2020(1). 7363084–7363084. 22 indexed citations
13.
Viswanadhapalli, Suryavathi, Shihong Ma, Gangadhara R. Sareddy, et al.. (2019). Estrogen receptor coregulator binding modulator (ERX-11) enhances the activity of CDK4/6 inhibitors against estrogen receptor-positive breast cancers. Breast Cancer Research. 21(1). 150–150. 16 indexed citations
14.
Wang, Weibin, Siyu Li, Hanxiao Li, et al.. (2019). C1QBP Promotes Homologous Recombination by Stabilizing MRE11 and Controlling the Assembly and Activation of MRE11/RAD50/NBS1 Complex. Molecular Cell. 75(6). 1299–1314.e6. 47 indexed citations
15.
Zhou, Mei, Gangadhara R. Sareddy, Mengxing Li, et al.. (2019). Estrogen receptor beta enhances chemotherapy response of GBM cells by down regulating DNA damage response pathways. Scientific Reports. 9(1). 6124–6124. 33 indexed citations
16.
Zhang, Zhengyu, Zengmin Li, Mei Zhou, et al.. (2013). ADAM17 Is Critical for Multipolar Exit and Radial Migration of Neuronal Intermediate Progenitor Cells in Mice Cerebral Cortex. PLoS ONE. 8(6). e65703–e65703. 8 indexed citations
17.
Zhu, Hengrui, Zulong Liu, Junhua Liu, et al.. (2012). Reversal of P-gp and MRP1-mediated multidrug resistance by H6, a gypenoside aglycon from Gynostemma pentaphyllum, in vincristine-resistant human oral cancer (KB/VCR) cells. European Journal of Pharmacology. 696(1-3). 43–53. 44 indexed citations
18.
Liu, Ying, Mei Zhou, Dan Luo, et al.. (2012). Bacteria-mediated in vivo delivery of quantum dots into solid tumor. Biochemical and Biophysical Research Communications. 425(4). 769–774. 47 indexed citations
19.
Xie, Fang, Mei Zhou, Haoxing Zhang, et al.. (2012). The dietary flavonoid luteolin inhibits Aurora B kinase activity and blocks proliferation of cancer cells. European Journal of Pharmaceutical Sciences. 46(5). 388–396. 39 indexed citations
20.
Roberts, Lori M., Mei Zhou, Deborah S. Black, et al.. (2008). Expression of the Thyroid Hormone Transporters Monocarboxylate Transporter-8 (SLC16A2) and Organic Ion Transporter-14 (SLCO1C1) at the Blood-Brain Barrier. Endocrinology. 149(12). 6251–6261. 266 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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