Ming Du

2.2k total citations
32 papers, 1.6k citations indexed

About

Ming Du is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Ming Du has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 5 papers in Genetics. Recurrent topics in Ming Du's work include Cystic Fibrosis Research Advances (7 papers), RNA and protein synthesis mechanisms (4 papers) and Immune Cell Function and Interaction (4 papers). Ming Du is often cited by papers focused on Cystic Fibrosis Research Advances (7 papers), RNA and protein synthesis mechanisms (4 papers) and Immune Cell Function and Interaction (4 papers). Ming Du collaborates with scholars based in United States, China and Czechia. Ming Du's co-authors include Allan Zajac, John S. Yi, David M. Bedwell, Kim M. Keeling, Xiaoli Liu, Stuart W. Peltz, Ellen Welch, Samit Hirawat, Eric J. Sorscher and Lin Gao and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ming Du

32 papers receiving 1.6k 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 Du United States 16 725 443 435 160 154 32 1.6k
Lap-Ping Chung United Kingdom 21 423 0.6× 218 0.5× 585 1.3× 96 0.6× 82 0.5× 27 1.4k
Xia Zhang China 22 667 0.9× 266 0.6× 704 1.6× 53 0.3× 119 0.8× 59 1.8k
Yuji Takeda Japan 20 561 0.8× 223 0.5× 689 1.6× 314 2.0× 247 1.6× 91 1.7k
Yan Fan United States 21 841 1.2× 132 0.3× 316 0.7× 51 0.3× 135 0.9× 37 1.5k
David L. Haviland United States 18 643 0.9× 178 0.4× 838 1.9× 51 0.3× 117 0.8× 30 1.6k
Yu Nee Lee United States 20 479 0.7× 96 0.2× 809 1.9× 319 2.0× 142 0.9× 35 1.3k
Timothy R. Hercus Australia 24 454 0.6× 145 0.3× 1.1k 2.4× 93 0.6× 82 0.5× 39 1.8k
Jian-Yun Dong United States 19 1.2k 1.6× 196 0.4× 187 0.4× 730 4.6× 175 1.1× 26 1.7k
Christopher W. Peterson United States 21 795 1.1× 114 0.3× 258 0.6× 358 2.2× 153 1.0× 49 1.4k
Ji‐Yang Wang Japan 22 663 0.9× 65 0.1× 930 2.1× 96 0.6× 112 0.7× 60 1.7k

Countries citing papers authored by Ming Du

Since Specialization
Citations

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

Fields of papers citing papers by Ming Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Du

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Du. A scholar is included among the top collaborators of Ming Du 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 Du. Ming Du 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, Jianchao, Zhechen Guo, Tao Wang, et al.. (2024). A deep learning model fusion algorithm for the diagnosis of gastric Mucosa-associated lymphoid tissue lymphoma. Biomedical Signal Processing and Control. 92. 106064–106064. 2 indexed citations
2.
Fu, Lianwu, et al.. (2024). Extended stop codon context predicts nonsense codon readthrough efficiency in human cells. Nature Communications. 15(1). 2486–2486. 14 indexed citations
3.
Hao, Yue, et al.. (2024). An 18F‐FDG‐PET/CT‐based radiomics signature for estimating malignance probability of solitary pulmonary nodule. The Clinical Respiratory Journal. 18(5). e13751–e13751. 4 indexed citations
4.
Kirstein, Mark N., James Fisher, Christopher L. Moertel, et al.. (2023). Combining nonsense mutation suppression therapy with nonsense-mediated decay inhibition in neurofibromatosis type 1. Molecular Therapy — Nucleic Acids. 33. 227–239. 5 indexed citations
6.
Du, Ming, et al.. (2022). Carotenoids Biosynthesis, Accumulation, and Applications of a Model Microalga Euglenagracilis. Marine Drugs. 20(8). 496–496. 22 indexed citations
7.
Zhang, Xin, et al.. (2022). 18F-FDG PET/CT radiomics nomogram for predicting occult lymph node metastasis of non-small cell lung cancer. Frontiers in Oncology. 12. 974934–974934. 15 indexed citations
8.
He, Jiayi, et al.. (2022). Euglena gracilis Promotes Lactobacillus Growth and Antioxidants Accumulation as a Potential Next-Generation Prebiotic. Frontiers in Nutrition. 9. 864565–864565. 12 indexed citations
9.
Tai, Wenlin, et al.. (2017). Fibrocytes Ameliorate Acute Lung Injury by Decreasing Inflammatory Cytokine and Chemokine Levels and Reducing Neutrophil Accumulation in the Lung. Cellular Physiology and Biochemistry. 44(4). 1526–1536. 11 indexed citations
10.
Mutyam, Venkateshwar, Ming Du, Kim M. Keeling, et al.. (2016). Discovery of Clinically Approved Agents That Promote Suppression of Cystic Fibrosis Transmembrane Conductance Regulator Nonsense Mutations. American Journal of Respiratory and Critical Care Medicine. 194(9). 1092–1103. 63 indexed citations
11.
Sheng, Guilian, et al.. (2014). DNA analyses of wild boar remains from archaeological sites in Guangxi, China. Quaternary International. 354. 147–153. 4 indexed citations
12.
Tuggle, Katherine L., Susan E. Birket, Xiaoxia Cui, et al.. (2014). Characterization of Defects in Ion Transport and Tissue Development in Cystic Fibrosis Transmembrane Conductance Regulator (CFTR)-Knockout Rats. PLoS ONE. 9(3). e91253–e91253. 122 indexed citations
13.
Dai, Yanying, Ming Du, Valery Belakhov, et al.. (2013). Long-term nonsense suppression therapy moderates MPS I-H disease progression. Molecular Genetics and Metabolism. 111(3). 374–381. 42 indexed citations
14.
Yi, John S., Ming Du, & Allan Zajac. (2009). A Vital Role for Interleukin-21 in the Control of a Chronic Viral Infection. Science. 324(5934). 1572–1576. 406 indexed citations
15.
Du, Ming, Kim M. Keeling, Liming Fan, Xiaoli Liu, & David M. Bedwell. (2009). Poly-l-aspartic Acid Enhances and Prolongs Gentamicin-mediated Suppression of the CFTR-G542X Mutation in a Cystic Fibrosis Mouse Model. Journal of Biological Chemistry. 284(11). 6885–6892. 38 indexed citations
16.
Fan-Minogue, Hua, Ming Du, Andrey V. Pisarev, et al.. (2008). Distinct eRF3 Requirements Suggest Alternate eRF1 Conformations Mediate Peptide Release during Eukaryotic Translation Termination. Molecular Cell. 30(5). 599–609. 49 indexed citations
17.
Du, Ming, Kim M. Keeling, Liming Fan, et al.. (2006). Clinical doses of amikacin provide more effective suppression of the human CFTR-G542X stop mutation than gentamicin in a transgenic CF mouse model. Journal of Molecular Medicine. 84(7). 573–582. 58 indexed citations
18.
Tedoldi, Sara, Jennifer C. Paterson, Martin‐Leo Hansmann, et al.. (2005). Transmembrane adaptor molecules: a new category of lymphoid-cell markers. Blood. 107(1). 213–221. 36 indexed citations
19.
Keeling, Kim M., et al.. (2004). Leaky termination at premature stop codons antagonizes nonsense-mediated mRNA decay in S. cerevisiae. RNA. 10(4). 691–703. 137 indexed citations
20.
Du, Ming, Kim M. Keeling, Albert Tousson, et al.. (2002). Aminoglycoside suppression of a premature stop mutation in a Cftr–/– mouse carrying a human CFTR-G542X transgene. Journal of Molecular Medicine. 80(9). 595–604. 143 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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