Ming Qiu

2.0k total citations
35 papers, 1.0k citations indexed

About

Ming Qiu is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming Qiu has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming Qiu's work include Estrogen and related hormone effects (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and RNA modifications and cancer (3 papers). Ming Qiu is often cited by papers focused on Estrogen and related hormone effects (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and RNA modifications and cancer (3 papers). Ming Qiu collaborates with scholars based in China, United States and Australia. Ming Qiu's co-authors include Carol A. Lange, Emily J. Faivre, Anthony Wong, Kathryn B. Horwitz, Abby L. Olsen, Tod Smeal, Ping Wei, James G. Christensen, Jitesh P. Jani and Yan Lü and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Research.

In The Last Decade

Ming Qiu

33 papers receiving 1.0k 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 Qiu China 16 591 386 228 146 124 35 1.0k
Guillermo Pita Spain 20 427 0.7× 350 0.9× 217 1.0× 255 1.7× 113 0.9× 42 1.1k
Fenghua Zeng United States 14 571 1.0× 244 0.6× 95 0.4× 137 0.9× 140 1.1× 24 1.1k
Quan Li China 14 551 0.9× 169 0.4× 322 1.4× 231 1.6× 212 1.7× 45 1.1k
Yonghui Wu China 16 677 1.1× 328 0.8× 177 0.8× 168 1.2× 119 1.0× 37 1.1k
Viktor Stránecký Czechia 18 642 1.1× 226 0.6× 183 0.8× 82 0.6× 52 0.4× 66 1.3k
Cynthia Morata‐Tarifa Spain 12 451 0.8× 595 1.5× 96 0.4× 364 2.5× 104 0.8× 15 1.1k
Khaled Aziz United States 19 738 1.2× 411 1.1× 100 0.4× 225 1.5× 200 1.6× 40 1.3k
Barbara Quaresima Italy 18 653 1.1× 313 0.8× 256 1.1× 338 2.3× 111 0.9× 46 1.1k
А. И. Карселадзе Russia 14 436 0.7× 205 0.5× 130 0.6× 296 2.0× 339 2.7× 46 1.0k
Anja Krones‐Herzig Germany 17 657 1.1× 204 0.5× 123 0.5× 230 1.6× 77 0.6× 19 1.1k

Countries citing papers authored by Ming Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Qiu. A scholar is included among the top collaborators of Ming Qiu 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 Qiu. Ming Qiu 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.
Qiu, Ming, et al.. (2025). GPX2 induces macrophage M2 polarization through the MIF signaling pathway to promote colorectal cancer progression. International Journal of Biological Macromolecules. 331(Pt 1). 148341–148341. 1 indexed citations
2.
3.
Wang, Lu‐Yang, Mingwei Liu, Ming Qiu, et al.. (2023). ROS inhibition increases KDM6A-mediated NOX2 transcription and promotes macrophages oxidative stress and M1 polarization. Cell Stress and Chaperones. 28(4). 375–384. 13 indexed citations
4.
Li, Peng, Boxun Liu, Xiaoguang Wu, et al.. (2022). Perirenal adipose afferent nerves sustain pathological high blood pressure in rats. Nature Communications. 13(1). 3130–3130. 29 indexed citations
5.
Shi, Wenxiang, Jieyu Lü, Ming Qiu, et al.. (2021). Piperlongumine Attenuates High Calcium/Phosphate-Induced Arterial Calcification by Preserving P53/PTEN Signaling. Frontiers in Cardiovascular Medicine. 7. 625215–625215. 16 indexed citations
6.
Qiu, Ming, Yan Lu, Yue Ji, et al.. (2021). Interaction of SOX5 with SOX9 promotes warfarin-induced aortic valve interstitial cell calcification by repressing transcriptional activation of LRP6. Journal of Molecular and Cellular Cardiology. 162. 81–96. 3 indexed citations
7.
Deng, Mengqing, Shuo Yang, Yue Ji, et al.. (2020). Overexpression of peptidase inhibitor 16 attenuates angiotensin II–induced cardiac fibrosis via regulating HDAC1 of cardiac fibroblasts. Journal of Cellular and Molecular Medicine. 24(9). 5249–5259. 26 indexed citations
8.
Qiu, Ming, Pengyu Zong, Yong Li, et al.. (2019). Distribution, Morphological Characterization, and Resiniferatoxin-Susceptibility of Sensory Neurons That Innervate Rat Perirenal Adipose Tissue. Frontiers in Neuroanatomy. 13. 29–29. 8 indexed citations
9.
Gao, Li, Yue Ji, Yan Lu, et al.. (2018). Low-level overexpression of p53 promotes warfarin-induced calcification of porcine aortic valve interstitial cells by activating Slug gene transcription. Journal of Biological Chemistry. 293(10). 3780–3792. 11 indexed citations
10.
Tang, Kai, Gengsheng Mao, Ming Qiu, et al.. (2017). Primary cerebral malignant melanoma. Medicine. 96(4). e5805–e5805. 23 indexed citations
11.
Huang, Yan, et al.. (2016). Immunoassay of S-adenosylmethionine and S-adenosylhomocysteine: the methylation index as a biomarker for disease and health status. BMC Research Notes. 9(1). 498–498. 24 indexed citations
12.
Qiu, Ming, et al.. (2016). Oxidored-nitro domain-containing protein 1 expression is associated with the progression of hepatocellular carcinoma. Oncology Letters. 11(5). 3003–3008. 9 indexed citations
13.
Zhang, Cathy C., Adam Pavlı́c̀ek, Qin Zhang, et al.. (2012). Biomarker and Pharmacologic Evaluation of the γ-Secretase Inhibitor PF-03084014 in Breast Cancer Models. Clinical Cancer Research. 18(18). 5008–5019. 53 indexed citations
14.
Zou, Helen Y., Qiuhua Li, Joseph H. Lee, et al.. (2012). Sensitivity of Selected Human Tumor Models to PF-04217903, a Novel Selective c-Met Kinase Inhibitor. Molecular Cancer Therapeutics. 11(4). 1036–1047. 57 indexed citations
15.
Qiu, Ming, Qinghai Peng, Christopher L. Carroll, et al.. (2012). Specific inhibition of Notch1 signaling enhances the antitumor efficacy of chemotherapy in triple negative breast cancer through reduction of cancer stem cells. Cancer Letters. 328(2). 261–270. 109 indexed citations
16.
Zhang, Cathy C., Zhengming Yan, Qin Zhang, et al.. (2010). PF-03732010: A Fully Human Monoclonal Antibody against P-Cadherin with Antitumor and Antimetastatic Activity. Clinical Cancer Research. 16(21). 5177–5188. 58 indexed citations
17.
Wei, Ping, Marlena Walls, Ming Qiu, et al.. (2010). Evaluation of Selective γ-Secretase Inhibitor PF-03084014 for Its Antitumor Efficacy and Gastrointestinal Safety to Guide Optimal Clinical Trial Design. Molecular Cancer Therapeutics. 9(6). 1618–1628. 158 indexed citations
18.
Zhang, Cathy, Zhengming Yan, Cory L. Painter, et al.. (2009). PF-00477736 Mediates Checkpoint Kinase 1 Signaling Pathway and Potentiates Docetaxel-Induced Efficacy in Xenografts. Clinical Cancer Research. 15(14). 4630–4640. 45 indexed citations
19.
20.
Qiu, Ming & Carol A. Lange. (2003). MAP kinases couple multiple functions of human progesterone receptors: degradation, transcriptional synergy, and nuclear association. The Journal of Steroid Biochemistry and Molecular Biology. 85(2-5). 147–157. 94 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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