Mei Qi

1.8k total citations
75 papers, 1.4k citations indexed

About

Mei Qi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mei Qi has authored 75 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 23 papers in Cancer Research and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mei Qi's work include Cancer-related molecular mechanisms research (13 papers), Prostate Cancer Treatment and Research (12 papers) and MicroRNA in disease regulation (11 papers). Mei Qi is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), Prostate Cancer Treatment and Research (12 papers) and MicroRNA in disease regulation (11 papers). Mei Qi collaborates with scholars based in China, Canada and United States. Mei Qi's co-authors include Bo Han, Karen J. Auborn, Da‐Zhi Chen, Lin Wang, Jing Hu, Timothy H. Carter, Muyi Yang, Weiming Zhao, Eliot M. Rosen and Zhiyan Liu and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Mei Qi

68 papers receiving 1.4k 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 Qi China 25 900 426 237 230 120 75 1.4k
Bingyin Shi China 25 1.1k 1.2× 355 0.8× 342 1.4× 232 1.0× 150 1.3× 87 1.9k
Jing Qian China 24 1.1k 1.2× 589 1.4× 279 1.2× 196 0.9× 239 2.0× 65 1.7k
Judit Pallarés Spain 21 1.3k 1.4× 590 1.4× 516 2.2× 222 1.0× 298 2.5× 31 2.2k
Noel A. Warfel United States 21 1.0k 1.2× 375 0.9× 557 2.4× 132 0.6× 113 0.9× 39 1.7k
Zizheng Dong United States 25 1.2k 1.3× 348 0.8× 488 2.1× 101 0.4× 102 0.8× 49 1.6k
Jaclyn LoPiccolo United States 16 920 1.0× 235 0.6× 518 2.2× 231 1.0× 145 1.2× 30 1.7k
Shipra Agrawal United States 23 1.0k 1.1× 245 0.6× 133 0.6× 74 0.3× 93 0.8× 44 1.8k
Shun‐Ichiro Kageyama Japan 20 613 0.7× 153 0.4× 273 1.2× 175 0.8× 179 1.5× 52 1.1k
Kiyoshi Okamoto Japan 15 611 0.7× 267 0.6× 514 2.2× 331 1.4× 100 0.8× 55 1.7k
Marta Martínez Spain 16 717 0.8× 299 0.7× 262 1.1× 94 0.4× 177 1.5× 28 1.2k

Countries citing papers authored by Mei Qi

Since Specialization
Citations

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

Fields of papers citing papers by Mei Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Qi. A scholar is included among the top collaborators of Mei Qi 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 Qi. Mei Qi 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.
Han, Bo, Jing Hu, Ping Liu, et al.. (2025). CUL4B regulates thyroid cancer differentiation and treatment sensitivity by ubiquitinating ARID1A. Translational Oncology. 56. 102389–102389.
2.
Zhu, Liangkuan, et al.. (2025). SCCB-U-Net: Convolutional neural network for real-time analysis of 3D mechanical properties of umbilical. Mechanics of Advanced Materials and Structures. 1–15.
3.
Han, Zhe, Qingtong Wang, Lee Jia, et al.. (2024). Ultra‐early stage lower‐grade gliomas: How can we define and differentiate these easily misdiagnosed gliomas through intraoperative molecular diagnosis. CNS Neuroscience & Therapeutics. 30(10). e70044–e70044. 1 indexed citations
4.
Wang, Xueli, Bo Han, Feifei Sun, et al.. (2023). A trio of tumor suppressor miRNA downregulates CREB5 dependent transcription to modulate neoadjuvant hormonal therapy sensitivity. Neoplasia. 36. 100875–100875. 1 indexed citations
5.
Qi, Mei, et al.. (2022). Effect of high-altitude hypoxia environment on uric acid excretion, Desmin protein level in podocytes, and Na+-K+- ATPase activity. Cellular and Molecular Biology. 68(6). 84–91. 10 indexed citations
6.
Qi, Mei, Jing Hu, Meng Jiao, et al.. (2019). CUL4B promotes prostate cancer progression by forming positive feedback loop with SOX4. Oncogenesis. 8(3). 23–23. 24 indexed citations
7.
Hu, Jing, Jing Zhang, Feifei Sun, et al.. (2019). Enhancer of zeste 2 polycomb repressive complex 2 subunit promotes sorafenib resistance of hepatocellular carcinoma though insulin-like growth factor 1 receptor. Anti-Cancer Drugs. 30(7). 677–684. 9 indexed citations
8.
Zhang, Chunyan, Xueen Li, Mei Qi, et al.. (2019). Genistein inhibits human papillary thyroid cancer cell detachment, invasion and metastasis. Journal of Cancer. 10(3). 737–748. 21 indexed citations
9.
Dong, Hongyan, Jing Hu, Lin Wang, et al.. (2019). SOX4 is activated by C-MYC in prostate cancer. Medical Oncology. 36(11). 92–92. 24 indexed citations
10.
Chen, Ying, Mei Qi, Xiao Wang, et al.. (2018). INPP4B restrains cell proliferation and metastasis via regulation of the PI3K/AKT/SGK pathway. Journal of Cellular and Molecular Medicine. 22(5). 2935–2943. 36 indexed citations
11.
Hu, Jing, Peng Su, Meng Jiao, et al.. (2018). TRPS1 Suppresses Breast Cancer Epithelial-mesenchymal Transition Program as a Negative Regulator of SUZ12. Translational Oncology. 11(2). 416–425. 26 indexed citations
12.
Li, Pengyu, Lili Zhang, Muyi Yang, et al.. (2017). Cul4B is a novel prognostic marker in cholangiocarcinoma. Oncology Letters. 14(2). 1265–1274. 8 indexed citations
13.
Lü, Ning, Tao Lin, Lin Wang, et al.. (2015). Association of SOX4 regulated by tumor suppressor miR-30a with poor prognosis in low-grade chondrosarcoma. Tumor Biology. 36(5). 3843–3852. 37 indexed citations
14.
Zhang, Jing, Chengwu Shen, Lin Wang, et al.. (2014). Metformin inhibits epithelial–mesenchymal transition in prostate cancer cells: Involvement of the tumor suppressor miR30a and its target gene SOX4. Biochemical and Biophysical Research Communications. 452(3). 746–752. 72 indexed citations
15.
Yang, Xiaoqing, Weishan Wang, Chunni Wang, et al.. (2014). Characterization of EGFR family gene aberrations in cholangiocarcinoma. Oncology Reports. 32(2). 700–708. 51 indexed citations
16.
Wang, Hong, Lei Zhao, Ying Peng, et al.. (2012). Protective role of a-galactosylceramide-stimulated natural killer T cells in genital tract infection withChlamydia muridarum. FEMS Immunology & Medical Microbiology. 65(1). 43–54. 15 indexed citations
17.
18.
Qi, Mei. (2008). The application of fuzzy self-adaptive PID in Pressure Tester. Microcomputer Information. 2 indexed citations
19.
Qi, Mei, et al.. (2006). Identity-Based Threshold Decryption Schemes Secure against Chosen Ciphertext Attacks in the Standard Model. 1 indexed citations
20.
Lü, Hui, et al.. (2005). Analysis of Synonymous Codon Usage Bias in <italic>Chlamydia</italic>. Acta Biochimica et Biophysica Sinica. 37(1). 1–10. 55 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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