Ming‐Qing Gao

1.4k total citations
41 papers, 1.1k citations indexed

About

Ming‐Qing Gao is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Ming‐Qing Gao has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Agronomy and Crop Science and 10 papers in Genetics. Recurrent topics in Ming‐Qing Gao's work include Milk Quality and Mastitis in Dairy Cows (11 papers), Cancer-related molecular mechanisms research (8 papers) and Animal Genetics and Reproduction (8 papers). Ming‐Qing Gao is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (11 papers), Cancer-related molecular mechanisms research (8 papers) and Animal Genetics and Reproduction (8 papers). Ming‐Qing Gao collaborates with scholars based in China, United States and South Korea. Ming‐Qing Gao's co-authors include Yong Zhang, Xueru Li, Xixi Wang, Jiaxin Feng, Yifei Pei, Yuchuan Ding, Chang­hong Ren, Xianwei Zeng, Yong Zhang and Xunming Ji and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Ming‐Qing Gao

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Qing Gao China 21 539 334 165 161 154 41 1.1k
Yan Gao China 25 873 1.6× 547 1.6× 121 0.7× 97 0.6× 248 1.6× 122 1.8k
Ting Xin China 18 590 1.1× 157 0.5× 300 1.8× 200 1.2× 65 0.4× 44 1.3k
Hiroaki Kawaguchi Japan 19 342 0.6× 135 0.4× 103 0.6× 62 0.4× 245 1.6× 114 1.2k
Elizabeth S. Greene United States 20 730 1.4× 234 0.7× 163 1.0× 51 0.3× 101 0.7× 63 2.0k
Axel Weber Germany 14 707 1.3× 250 0.7× 167 1.0× 30 0.2× 80 0.5× 25 1.6k
Tianyu Yang China 16 471 0.9× 124 0.4× 83 0.5× 73 0.5× 92 0.6× 63 903
Itamar Goren Germany 22 422 0.8× 90 0.3× 171 1.0× 65 0.4× 46 0.3× 36 1.6k
Nicole S. Harhaj United States 14 745 1.4× 479 1.4× 155 0.9× 211 1.3× 55 0.4× 15 1.8k
Sandeep Gupta New Zealand 13 465 0.9× 61 0.2× 106 0.6× 49 0.3× 250 1.6× 56 1.2k

Countries citing papers authored by Ming‐Qing Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Qing Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Qing Gao. 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 Ming‐Qing Gao. The network helps show where Ming‐Qing Gao may publish in the future.

Co-authorship network of co-authors of Ming‐Qing Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Qing Gao. A scholar is included among the top collaborators of Ming‐Qing Gao 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 Ming‐Qing Gao. Ming‐Qing Gao 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.
Yang, Wei, Meiyu Xu, Juanhong Wang, et al.. (2023). Single-cell RNA reveals a tumorigenic microenvironment in the interface zone of human breast tumors. Breast Cancer Research. 25(1). 100–100. 5 indexed citations
2.
Feng, Jiaxin, Qianwen Wang, Wei Yang, Jun Liu, & Ming‐Qing Gao. (2021). Omega-3 polyunsaturated fatty acids ameliorated inflammatory response of mammary epithelial cells and mammary gland induced by lipopolysaccharide. Acta Biochimica et Biophysica Sinica. 53(9). 1142–1153. 7 indexed citations
3.
Gao, Ming‐Qing, et al.. (2020). The lncRNA FAL1 protects against hypoxia-reoxygenation- induced brain endothelial damages through regulating PAK1. Journal of Bioenergetics and Biomembranes. 52(1). 17–25. 11 indexed citations
4.
Li, Xueru, Pengyuan Zhang, Bingbing Wang, et al.. (2019). NDRG1 negatively regulates proliferation and Milk bio-synthesis of bovine epithelial cells via the mTOR signaling pathway. Research in Veterinary Science. 124. 158–165. 2 indexed citations
5.
Wang, Hao, Xixi Wang, Xueru Li, et al.. (2018). CYP1A1 Relieves Lipopolysaccharide-Induced Inflammatory Responses in Bovine Mammary Epithelial Cells. Mediators of Inflammation. 2018. 1–10. 20 indexed citations
6.
Wang, Lixue, et al.. (2018). MCPIP1 mediates inflammatory responses induced by lipopolysaccharide and lipoteichoic acid in bovine mammary epithelial cells. Acta Biochimica et Biophysica Sinica. 51(2). 150–158. 4 indexed citations
7.
Pei, Yifei, et al.. (2018). LncRNA XIST mediates bovine mammary epithelial cell inflammatory response via NF‐κB/NLRP3 inflammasome pathway. Cell Proliferation. 52(1). e12525–e12525. 115 indexed citations
8.
Gao, Ming‐Qing, Ruiqi Zhang, Yange Yang, et al.. (2018). A subchronic feeding safety evaluation of transgenic milk containing human β-defensin 3 on reproductive system of C57BL/6J mouse. Food and Chemical Toxicology. 115. 198–204. 4 indexed citations
9.
Yang, Wei, et al.. (2017). SDF-1 in Mammary Fibroblasts of Bovine with Mastitis Induces EMT and Inflammatory Response of Epithelial Cells. International Journal of Biological Sciences. 13(5). 604–614. 28 indexed citations
10.
Yang, Wei, Xuezhong Li, Xueru Li, et al.. (2017). lncRNA H19 is involved in TGF- β 1-induced epithelial to mesenchymal transition in bovine epithelial cells through PI3K/AKT Signaling Pathway. PeerJ. 5. e3950–e3950. 44 indexed citations
11.
Chen, Qing, Wei Yang, Xixi Wang, et al.. (2017). TGF-β1 Induces EMT in Bovine Mammary Epithelial Cells Through the TGFβ1/Smad Signaling Pathway. Cellular Physiology and Biochemistry. 43(1). 82–93. 58 indexed citations
12.
Yang, Yange, et al.. (2016). Effects of Genetically Modified Milk Containing Human Beta-Defensin-3 on Gastrointestinal Health of Mice. PLoS ONE. 11(7). e0159700–e0159700. 8 indexed citations
13.
He, Xiaoning, Yue Du, Jianmin Su, et al.. (2015). Transgenic cattle produced by nuclear transfer of fetal fibroblasts carrying Ipr1 gene at a specific locus. Theriogenology. 84(4). 608–616. 10 indexed citations
14.
15.
Su, Jianmin, Yongsheng Wang, Wenzhe Li, et al.. (2013). Effects of 3‐hydroxyflavone on the cellular and molecular characteristics of bovine embryos produced by somatic‐cell nuclear transfer. Molecular Reproduction and Development. 81(3). 257–269. 4 indexed citations
16.
Ren, Chang­hong, Joy Guingab‐Cagmat, John Anagli, et al.. (2013). Different expression of ubiquitin C-terminal hydrolase-L1 and αII-spectrin in ischemic and hemorrhagic stroke: Potential biomarkers in diagnosis. Brain Research. 1540. 84–91. 25 indexed citations
17.
Liu, Jun, Yan Luo, Hui Zhang, et al.. (2013). Anti-Bacterial Activity of Recombinant Human β-Defensin-3 Secreted in the Milk of Transgenic Goats Produced by Somatic Cell Nuclear Transfer. PLoS ONE. 8(6). e65379–e65379. 17 indexed citations
18.
Ren, Chang­hong, Ming‐Qing Gao, David Dornbos, et al.. (2011). Remote ischemic post-conditioning reduced brain damage in experimental ischemia/reperfusion injury. Neurological Research. 33(5). 514–519. 73 indexed citations
19.
Asmaro, Karam, Chang­hong Ren, Ming‐Qing Gao, et al.. (2011). Acute ethanol treatment reduces blood–brain barrier dysfunction following ischemia/reperfusion injury. Brain Research. 1437. 127–133. 23 indexed citations
20.
Gao, Ming‐Qing, et al.. (2007). Molecular mechanisms of polypeptide from Chlamys farreri protecting HaCaT cells from apoptosis induced by UVA plus UVB. Acta Pharmacologica Sinica. 28(7). 1007–1014. 13 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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