Ming Qian

2.6k total citations
82 papers, 1.8k citations indexed

About

Ming Qian is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ming Qian has authored 82 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 16 papers in Surgery and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ming Qian's work include Cardiovascular Health and Disease Prevention (8 papers), Retinoids in leukemia and cellular processes (6 papers) and Bone Tumor Diagnosis and Treatments (6 papers). Ming Qian is often cited by papers focused on Cardiovascular Health and Disease Prevention (8 papers), Retinoids in leukemia and cellular processes (6 papers) and Bone Tumor Diagnosis and Treatments (6 papers). Ming Qian collaborates with scholars based in China, United States and Kenya. Ming Qian's co-authors include Robert L. Burnap, Bob G. Sanders, Kimberly A. Kline, Weiping Yu, Jian‐Ren Shen, Yorinao Inoue, Robert A. Meguid, Steven F. Abcouwer, Wiley W. Souba and Lili Niu and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ming Qian

76 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
Ming Qian China 25 1.1k 385 193 174 167 82 1.8k
Mikko O. Laukkanen Italy 26 1.0k 0.9× 286 0.7× 118 0.6× 304 1.7× 61 0.4× 55 2.1k
Fei Wu China 24 1.0k 0.9× 466 1.2× 214 1.1× 216 1.2× 26 0.2× 147 2.0k
Heonyong Park South Korea 27 1.4k 1.2× 238 0.6× 128 0.7× 140 0.8× 40 0.2× 74 2.4k
Kirill M. Popov United States 33 2.2k 1.9× 456 1.2× 181 0.9× 65 0.4× 51 0.3× 82 3.6k
Konstantinos Evangelou Greece 27 1.6k 1.5× 304 0.8× 173 0.9× 405 2.3× 35 0.2× 65 3.0k
Yasuo Kokai Japan 28 1.0k 0.9× 239 0.6× 281 1.5× 618 3.6× 32 0.2× 85 2.4k
Yuan He China 26 821 0.7× 334 0.9× 183 0.9× 236 1.4× 12 0.1× 99 2.0k
Wen‐Tai Chiu Taiwan 30 1.8k 1.6× 471 1.2× 189 1.0× 483 2.8× 125 0.7× 96 3.1k
Chunfa Jie United States 32 1.6k 1.4× 549 1.4× 461 2.4× 435 2.5× 30 0.2× 72 3.7k
Michael Höpfner Germany 29 1.2k 1.1× 384 1.0× 419 2.2× 623 3.6× 29 0.2× 64 2.5k

Countries citing papers authored by Ming Qian

Since Specialization
Citations

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

Fields of papers citing papers by Ming Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Qian. A scholar is included among the top collaborators of Ming Qian 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 Qian. Ming Qian 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.
Yao, Fanjin, Qianxi Zhang, Bo Hu, et al.. (2025). Effect of secondary phases on electrical conductivity and thermal conductivity of HPDC Al-Ni and Al-Fe alloys: A comparative study. Journal of Materials Research and Technology. 39. 1280–1289.
2.
Chen, Ming, Dalong Chen, Yao Huang, et al.. (2025). Development and Demonstration of Real-Time High-Speed Visible Image Diagnostic on EAST Tokamak. IEEE Transactions on Plasma Science. 53(6). 1371–1377.
3.
Qian, Ming, Shun Li, Kun Xi, et al.. (2023). ECM-engineered electrospun fibers with an immune cascade effect for inhibiting tissue fibrosis. Acta Biomaterialia. 171. 308–326. 9 indexed citations
4.
Wang, Jingting, Xinhui Xia, Gaihua Qin, et al.. (2023). Somatic Embryogenesis and Plant Regeneration from Stem Explants of Pomegranate. Horticulturae. 9(9). 1038–1038. 3 indexed citations
5.
Wang, Dongsheng, Zhixiang Wu, Chenglong Zhao, et al.. (2021). KP-10/Gpr54 attenuates rheumatic arthritis through inactivating NF-κB and MAPK signaling in macrophages. Pharmacological Research. 171. 105496–105496. 27 indexed citations
6.
Wang, Tao, Qi Jia, Ming Qian, et al.. (2020). Multi-level En Bloc Resection as a Preferred Salvage Therapy for Recurrent Thoracolumbar Chondrosarcoma. Spine. 45(12). 789–797. 4 indexed citations
7.
Duan, Mengna, et al.. (2020). Epidermal stem cell-derived exosomes promote skin regeneration by downregulating transforming growth factor-β1 in wound healing. Stem Cell Research & Therapy. 11(1). 452–452. 92 indexed citations
8.
Qian, Ming, et al.. (2018). Study of correlation between wall shear stress and elasticity in atherosclerotic carotid arteries. BioMedical Engineering OnLine. 17(1). 5–5. 20 indexed citations
9.
Yan, Fei, Ming Qian, Yun Ou, et al.. (2018). PIEZO channel protein naturally expressed in human breast cancer cell MDA-MB-231 as probed by atomic force microscopy. AIP Advances. 8(5). 11 indexed citations
10.
Zhao, Dandan, Li Cui, Yan He, et al.. (2018). Cardiomyocyte Derived miR-328 Promotes Cardiac Fibrosis by Paracrinely Regulating Adjacent Fibroblasts. Cellular Physiology and Biochemistry. 46(4). 1555–1565. 21 indexed citations
11.
Qian, Ming, et al.. (2017). Correlation between quantitative analysis of wall shear stress and intima-media thickness in atherosclerosis development in carotid arteries. BioMedical Engineering OnLine. 16(1). 137–137. 66 indexed citations
12.
Cai, Xiaopan, Haifeng Wei, Xinghai Yang, et al.. (2017). miR-215 suppresses proliferation and migration of non-small cell lung cancer cells. Oncology Letters. 13(4). 2349–2353. 23 indexed citations
13.
Huang, Xiaowei, Yanling Zhang, Long Meng, et al.. (2016). The relationship between HbA1c and ultrasound plaque textures in atherosclerotic patients. Cardiovascular Diabetology. 15(1). 98–98. 8 indexed citations
14.
Xiao, Hui, Tielong Liu, Wangjun Yan, et al.. (2014). The Valuation of Using FDG PET-CT in Detecting Osteoid Osteoma of the Cervical Spine. Journal of Spinal Disorders & Techniques. 28(2). E67–E73. 7 indexed citations
15.
Yang, Xinghai, Jianru Xiao, Zhipeng Wu, et al.. (2011). Anterior construction after resection for axis tumors through the sub mandible approach. Zhonghua guke zazhi. 31(6). 664–669. 1 indexed citations
16.
Chen, Fei, Tao Wang, Jia Wang, Ziqiang Wang, & Ming Qian. (2008). Levistolide A overcomes P-glycoprotein-mediated drug resistance in human breast carcinoma cells. Acta Pharmacologica Sinica. 29(4). 458–464. 13 indexed citations
17.
Qian, Ming, et al.. (1998). FUNCTIONAL CHARACTERIZATION OF Synechocystis Sp. PCC 6803 ΔpsbU AND ΔpsbV MUTANTS REVEALS IMPORTANT ROLES OF CYTOCHROME C-550 IN CYANOBACTERIAL OXYGEN EVOLUTION. Plant and Cell Physiology. 39. 24 indexed citations
18.
19.
Qian, Ming, Bob G. Sanders, & Kimberly A. Kline. (1996). RRR‐α‐tocopheryl succinate induces apoptosis in avian retrovirus‐transformed lymphoid cells. Nutrition and Cancer. 25(1). 9–26. 37 indexed citations
20.

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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