Ming Cheng

1.2k total citations
62 papers, 904 citations indexed

About

Ming Cheng is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Ming Cheng has authored 62 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Neurology. Recurrent topics in Ming Cheng's work include RNA Interference and Gene Delivery (7 papers), Neurological disorders and treatments (7 papers) and Virus-based gene therapy research (6 papers). Ming Cheng is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Neurological disorders and treatments (7 papers) and Virus-based gene therapy research (6 papers). Ming Cheng collaborates with scholars based in China, United States and Australia. Ming Cheng's co-authors include Emad N. Eskandar, Sridevi V. Sarma, Ziv M. Williams, Emery N. Brown, Mirela V. Simon, Elizabeth A. Thiele, Uri T. Eden, Philippe Major, Matthew P. Frosch and Donald C. Shields and has published in prestigious journals such as Scientific Reports, Gene and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Ming Cheng

59 papers receiving 894 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 Cheng China 17 282 174 165 120 118 62 904
Qing Yin China 18 421 1.5× 124 0.7× 166 1.0× 100 0.8× 141 1.2× 51 1.2k
Zhongxiang Yao China 18 297 1.1× 131 0.8× 68 0.4× 79 0.7× 160 1.4× 46 872
Weiwei Hou China 17 386 1.4× 183 1.1× 83 0.5× 48 0.4× 137 1.2× 41 1.1k
Dimos Kapetis Italy 15 531 1.9× 240 1.4× 177 1.1× 80 0.7× 195 1.7× 26 979
Tiffany Lam United States 7 190 0.7× 130 0.7× 92 0.6× 181 1.5× 107 0.9× 16 699
Kei Noguchi Japan 16 491 1.7× 368 2.1× 109 0.7× 111 0.9× 202 1.7× 44 1.3k
Talita Glaser Brazil 20 517 1.8× 77 0.4× 109 0.7× 101 0.8× 154 1.3× 55 1.5k
Noriko Nishikawa Japan 19 853 3.0× 83 0.5× 346 2.1× 185 1.5× 194 1.6× 78 1.5k
Arne Wrede Germany 21 746 2.6× 256 1.5× 380 2.3× 76 0.6× 168 1.4× 40 1.7k
Sun‐Yong Baek South Korea 20 480 1.7× 89 0.5× 138 0.8× 218 1.8× 162 1.4× 49 1.1k

Countries citing papers authored by Ming Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Cheng. A scholar is included among the top collaborators of Ming Cheng 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 Cheng. Ming Cheng 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.
Feng, Jing, Run Xu, Yutong Hao, et al.. (2025). Tetrahydroberberrubine improves hyperlipidemia by activating the AMPK/SREBP2/PCSK9/LDL receptor signaling pathway. European Journal of Pharmacology. 989. 177228–177228. 2 indexed citations
2.
Cheng, Zhenying, et al.. (2025). High-precision multi-scale data fusion method for micro-nano CMM and white light interferometer. Optics & Laser Technology. 188. 112927–112927. 1 indexed citations
3.
Hu, Yufeng, et al.. (2024). Effects of yeast culture supplementation on milk yield, rumen fermentation, metabolism, and bacterial composition in dairy goats. Frontiers in Veterinary Science. 11. 1447238–1447238. 3 indexed citations
4.
Hanlon, Killian S., Ming Cheng, Jae Ryun Ryu, et al.. (2024). In vivo selection in non-human primates identifies AAV capsids for on-target CSF delivery to spinal cord. Molecular Therapy. 32(8). 2584–2603. 6 indexed citations
5.
Shi, Zaifeng, et al.. (2023). Multi-energy CT material decomposition using graph model improved CNN. Medical & Biological Engineering & Computing. 62(4). 1213–1228. 2 indexed citations
6.
Cheng, Ming, Laura Dietz, Yi Gong, et al.. (2021). Neutralizing Antibody Evasion and Transduction with Purified Extracellular Vesicle-Enveloped Adeno-Associated Virus Vectors. Human Gene Therapy. 32(23-24). 1457–1470. 24 indexed citations
8.
Cai, Haiying, et al.. (2021). Identification of Novel Choroidal Neovascularization‐Related Genes Using Laplacian Heat Diffusion Algorithm. BioMed Research International. 2021(1). 2295412–2295412. 1 indexed citations
9.
Beharry, Adam W., Yi Gong, James C. Kim, et al.. (2021). The AAV9 Variant Capsid AAV-F Mediates Widespread Transgene Expression in Nonhuman Primate Spinal Cord After Intrathecal Administration. Human Gene Therapy. 33(1-2). 61–75. 17 indexed citations
10.
Zhu, Yin, Yi Hu, Ming Cheng, et al.. (2017). Establishment and Characterization of a Nude Mouse Model of Subcutaneously Implanted Tumors and Abdominal Metastasis in Gastric Cancer. Gastroenterology Research and Practice. 2017. 1–6. 5 indexed citations
11.
Ebong, Eno E., Rajiv Kumar, Srinivas Sridhar, Thomas J. Webster, & Ming Cheng. (2016). Endothelial glycocalyx conditions influence nanoparticle uptake for passive targeting. International Journal of Nanomedicine. Volume 11. 3305–3315. 37 indexed citations
12.
Yu, Xiaolong, Qiang Wang, Xin Zhou, et al.. (2016). Celastrol negatively regulates cell invasion and migration ability of human osteosarcoma via downregulation of the PI3K/Akt/NF-κB signaling pathway in vitro. Oncology Letters. 12(5). 3423–3428. 24 indexed citations
13.
Zhang, Quan, et al.. (2014). The Miaoyao Fanggan Sachets regulate humoral immunity and cellular immunity in mice. Journal of Complementary and Integrative Medicine. 12(1). 43–51. 1 indexed citations
14.
Zhu, Yin, Ming Cheng, Zhen Yang, et al.. (2014). Mesenchymal stem cell-based NK4 gene therapy in nude mice bearing gastric cancer xenografts. Drug Design Development and Therapy. 8. 2449–2449. 32 indexed citations
15.
Brown, Emery N., Sridevi V. Sarma, Ming Cheng, et al.. (2012). The effects of cues on neurons in the basal ganglia in Parkinson's disease. DSpace@MIT (Massachusetts Institute of Technology). 28 indexed citations
16.
Sarma, Sridevi V., Ming Cheng, Uri T. Eden, et al.. (2012). The effects of cues on neurons in the basal ganglia in Parkinson's disease. Frontiers in Integrative Neuroscience. 6. 40–40. 3 indexed citations
17.
Zhang, Ping, et al.. (2011). Effect of polydatin on action potential in ventricular papillary muscle of rat and the underlying ionic mechanism.. PubMed. 63(1). 48–54. 5 indexed citations
18.
Jiang, Feng, Tong Liu, Ming Cheng, et al.. (2009). Spinal astrocyte and microglial activation contributes to rat pain-related behaviors induced by the venom of scorpion Buthus martensi Karch. European Journal of Pharmacology. 623(1-3). 52–64. 17 indexed citations
19.
Major, Philippe, Mirela V. Simon, Ming Cheng, et al.. (2008). Are cortical tubers epileptogenic? Evidence from electrocorticography. Epilepsia. 50(1). 147–154. 136 indexed citations
20.
Shields, Donald C., Ming Cheng, Alice W. Flaherty, John T. Gale, & Emad N. Eskandar. (2007). Microelectrode-Guided Deep Brain Stimulation for Tourette Syndrome: Within-Subject Comparison of Different Stimulation Sites. Stereotactic and Functional Neurosurgery. 86(2). 87–91. 62 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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