Jun Mao

2.7k total citations
49 papers, 1.8k citations indexed

About

Jun Mao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jun Mao has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 20 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Jun Mao's work include MicroRNA in disease regulation (10 papers), Cancer Cells and Metastasis (10 papers) and Cancer-related molecular mechanisms research (8 papers). Jun Mao is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer Cells and Metastasis (10 papers) and Cancer-related molecular mechanisms research (8 papers). Jun Mao collaborates with scholars based in China, United States and Australia. Jun Mao's co-authors include Ying Lü, Bo Song, Tao Qin, Lianhong Li, Xiaotang Yu, Lianhong Li, Shujun Fan, Qun Zhang, Qingqing Zhang and L Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Jun Mao

46 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Mao China 24 1.3k 713 523 130 126 49 1.8k
Leina Ma China 24 1.6k 1.2× 793 1.1× 536 1.0× 114 0.9× 151 1.2× 50 2.2k
Peng Shen China 24 1.3k 1.0× 773 1.1× 482 0.9× 90 0.7× 77 0.6× 71 2.1k
Jong Kuk Park South Korea 25 1.2k 0.9× 365 0.5× 552 1.1× 118 0.9× 85 0.7× 53 1.8k
Brandon J. Aubrey Australia 10 1.2k 0.9× 328 0.5× 568 1.1× 143 1.1× 127 1.0× 17 1.8k
Wenxia Xu China 26 1.3k 1.0× 795 1.1× 349 0.7× 65 0.5× 170 1.3× 74 1.8k
Kuo‐Tai Hua Taiwan 30 1.7k 1.3× 716 1.0× 492 0.9× 125 1.0× 119 0.9× 62 2.3k
Debing Xiang China 18 1.1k 0.8× 524 0.7× 362 0.7× 80 0.6× 79 0.6× 32 1.5k
Kin Chan Hong Kong 19 1.1k 0.8× 551 0.8× 277 0.5× 104 0.8× 108 0.9× 38 1.6k
Radosław Januchowski Poland 24 1.1k 0.8× 476 0.7× 736 1.4× 108 0.8× 63 0.5× 53 1.8k

Countries citing papers authored by Jun Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Mao. A scholar is included among the top collaborators of Jun Mao 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 Jun Mao. Jun Mao 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.
Wang, Zehua, Xinming Su, Zhiqing Zhan, et al.. (2025). miR-660: A novel regulator in human cancer pathogenesis and therapeutic implications. Gene. 953. 149434–149434.
2.
Wang, Yingyan, Mingxin Xu, Jing Song, et al.. (2021). Cancer-associated fibroblast-derived SDF-1 induces epithelial-mesenchymal transition of lung adenocarcinoma via CXCR4/β-catenin/PPARδ signalling. Cell Death and Disease. 12(2). 214–214. 59 indexed citations
3.
Mao, Jun, et al.. (2020). The potential mechanism of action of Sorcin and its interacting proteins. Clinica Chimica Acta. 510. 741–745. 9 indexed citations
4.
Gao, Xue, Tao Qin, Jun Mao, et al.. (2019). PTENP1/miR-20a/PTEN axis contributes to breast cancer progression by regulating PTEN via PI3K/AKT pathway. Journal of Experimental & Clinical Cancer Research. 38(1). 256–256. 112 indexed citations
5.
Zhao, Bin, Lei Liu, Jun Mao, et al.. (2018). PIM1 mediates epithelial-mesenchymal transition by targeting Smads and c-Myc in the nucleus and potentiates clear-cell renal-cell carcinoma oncogenesis. Cell Death and Disease. 9(3). 307–307. 37 indexed citations
6.
Liu, Lei, Qifei Wang, Jun Mao, et al.. (2018). Salinomycin suppresses cancer cell stemness and attenuates TGF-β-induced epithelial-mesenchymal transition of renal cell carcinoma cells. Chemico-Biological Interactions. 296. 145–153. 26 indexed citations
7.
Qin, Tao, Bai Li, Shujun Fan, et al.. (2018). Abnormally elevated USP37 expression in breast cancer stem cells regulates stemness, epithelial-mesenchymal transition and cisplatin sensitivity. Journal of Experimental & Clinical Cancer Research. 37(1). 287–287. 79 indexed citations
8.
Wu, Dawei, Jun Zhang, Ying Lü, et al.. (2018). miR-140-5p inhibits the proliferation and enhances the efficacy of doxorubicin to breast cancer stem cells by targeting Wnt1. Cancer Gene Therapy. 26(3-4). 74–82. 61 indexed citations
9.
Zhu, Bo, Quanze He, Jingjing Xiang, et al.. (2017). Quantitative Phosphoproteomic Analysis Reveals Key Mechanisms of Cellular Proliferation in Liver Cancer Cells. Scientific Reports. 7(1). 10908–10908. 8 indexed citations
10.
Li, Bailong, Ying Lü, Lihui Yu, et al.. (2017). miR-221/222 promote cancer stem-like cell properties and tumor growth of breast cancer via targeting PTEN and sustained Akt/NF-κB/COX-2 activation. Chemico-Biological Interactions. 277. 33–42. 98 indexed citations
11.
Liu, Lei, Jun Mao, Qifei Wang, et al.. (2017). In vitro anticancer activities of osthole against renal cell carcinoma cells. Biomedicine & Pharmacotherapy. 94. 1020–1027. 23 indexed citations
12.
13.
Lü, Ying, Chunying Zhang, Qing Li, et al.. (2015). [Inhibitory effect of salinomycin on human breast cancer cells MDA-MB-231 proliferation through Hedgehog signaling pathway].. PubMed. 44(6). 395–8. 6 indexed citations
14.
Lü, Ying, Wei Ma, Jun Mao, et al.. (2014). Salinomycin exerts anticancer effects on human breast carcinoma MCF-7 cancer stem cells via modulation of Hedgehog signaling. Chemico-Biological Interactions. 228. 100–107. 50 indexed citations
15.
Mao, Jun, Shujun Fan, Wei Ma, et al.. (2014). Roles of Wnt/β-catenin signaling in the gastric cancer stem cells proliferation and salinomycin treatment. Cell Death and Disease. 5(1). e1039–e1039. 212 indexed citations
16.
Zhang, Jun, Miaoling Li, Wenjing Chen, et al.. (2014). Clic1 plays a role in mouse hepatocarcinoma via modulating Annexin A7 and Gelsolin in vitro and in vivo. Biomedicine & Pharmacotherapy. 69. 416–419. 14 indexed citations
17.
Wang, Lixia, Wei Duan, Le Kang, et al.. (2014). Smoothened activates breast cancer stem-like cell and promotes tumorigenesis and metastasis of breast cancer. Biomedicine & Pharmacotherapy. 68(8). 1099–1104. 26 indexed citations
18.
Sun, Ming‐Zhong, Yühong Huang, Jun Mao, et al.. (2013). Down-regulation of ANXA7 decreases metastatic potential of human hepatocellular carcinoma cells in vitro. Biomedicine & Pharmacotherapy. 67(4). 285–291. 16 indexed citations
19.
Song, Lin, et al.. (2013). Annexin A7 and its binding protein galectin-3 influence mouse hepatocellular carcinoma cell line in vitro. Biomedicine & Pharmacotherapy. 68(3). 377–384. 24 indexed citations
20.
Mao, Jun, Hongxiu Yu, Chenji Wang, et al.. (2012). Metallothionein MT1M is a tumor suppressor of human hepatocellular carcinomas. Carcinogenesis. 33(12). 2568–2577. 63 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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