Ming Du

1.1k total citations · 1 hit paper
51 papers, 784 citations indexed

About

Ming Du is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Ming Du has authored 51 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Biomedical Engineering. Recurrent topics in Ming Du's work include Nanoparticle-Based Drug Delivery (6 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Cancer-related molecular mechanisms research (4 papers). Ming Du is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Cancer-related molecular mechanisms research (4 papers). Ming Du collaborates with scholars based in China, United Kingdom and United States. Ming Du's co-authors include Lang Pan, H Peng, PG Isaacson, Nidhi Singh, Genyi Zhang, Jianhua Hu, Dong Yang, Yang Liu, Hanwen Li and Jin Z. Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Physical Chemistry B.

In The Last Decade

Ming Du

49 papers receiving 771 citations

Hit Papers

Identification of novel umami peptides from oyster hydrol... 2025 2026 2025 5 10 15

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 China 17 215 156 152 143 115 51 784
Abul Kalam Azad United States 21 724 3.4× 213 1.4× 191 1.3× 69 0.5× 75 0.7× 61 1.4k
Nilesh Deshpande India 15 180 0.8× 108 0.7× 153 1.0× 66 0.5× 99 0.9× 43 634
Haiyan Li China 18 412 1.9× 56 0.4× 338 2.2× 70 0.5× 110 1.0× 33 1.2k
Hui Cheng China 18 447 2.1× 106 0.7× 117 0.8× 51 0.4× 204 1.8× 72 1.1k
Minyu Zhou China 17 342 1.6× 108 0.7× 105 0.7× 37 0.3× 161 1.4× 32 806
Luo‐Qin Fu China 14 403 1.9× 123 0.8× 184 1.2× 32 0.2× 235 2.0× 31 1.0k
Eugene V. Sheval Russia 15 428 2.0× 90 0.6× 81 0.5× 34 0.2× 75 0.7× 47 835
Wenshuai Liu China 18 386 1.8× 118 0.8× 59 0.4× 27 0.2× 72 0.6× 52 849
Lingling Huang China 18 306 1.4× 186 1.2× 87 0.6× 26 0.2× 364 3.2× 34 1.0k

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
2.
Min, Fan, Minbo Li, Tao Wang, et al.. (2025). Identification of novel umami peptides from truffle and their effects on umami perception when used in combination with MSG or IMP. Current Research in Food Science. 11. 101177–101177. 1 indexed citations
3.
Li, Minbo, Fan Min, Zhihui Chang, et al.. (2025). A novel strategy based on mouse organoid biosensor for detecting umami substances and their synergistic effect. Food Chemistry. 491. 145149–145149. 2 indexed citations
4.
Sun, Shanshan, Y. Xiang, Zibo Song, et al.. (2025). Preserving aroma in east and southeast Asian sauces: A review of thermal and non-thermal processing techniques. Innovative Food Science & Emerging Technologies. 101. 103950–103950. 4 indexed citations
5.
Min, Fan, Junjie Yi, Hong Tian, et al.. (2025). Umami-Transformer: A deep learning framework for high-precision prediction and experimental validation of umami peptides. Food Chemistry. 493(Pt 4). 145905–145905. 1 indexed citations
6.
Du, Ming, Qingqing Cai, Mingxing Zhang, et al.. (2024). Aneuploid serves as a prognostic marker and favors immunosuppressive microenvironment in ovarian cancer. Journal of Ovarian Research. 17(1). 30–30. 1 indexed citations
7.
Guo, Zhechen, Jianchao Wang, Zhida Wu, et al.. (2023). Prediction of lymph node metastasis in primary gastric cancer from pathological images and clinical data by multimodal multiscale deep learning. Biomedical Signal Processing and Control. 86. 105336–105336. 3 indexed citations
8.
Wu, Di, Shuzhen Cheng, Xianbing Xu, et al.. (2023). Three novel umami peptides derived from the alcohol extract of the Pacific oyster ( Crassostrea gigas): identification, characterizations and interactions with T1R1/T1R3 taste receptors. Food Science and Human Wellness. 13(1). 146–153. 35 indexed citations
9.
Du, Ming, Shuo Zhang, Xiaoxia Liu, Congjian Xu, & Xiaoyan Zhang. (2023). Ploidy Status of Ovarian Cancer Cell Lines and Their Association with Gene Expression Profiles. Biomolecules. 13(1). 92–92. 6 indexed citations
10.
Peng, Jing, Ming Du, Qiyu Liu, et al.. (2023). NIR-II Fluorescence Imaging for the Detection and Resection of Cancerous Foci and Lymph Nodes in Early-Stage Orthotopic and Advanced-Stage Metastatic Ovarian Cancer Models. ACS Applied Materials & Interfaces. 15(27). 32226–32239. 20 indexed citations
11.
Du, Ming, et al.. (2022). Nondiploid cancer cells: Stress, tolerance and therapeutic inspirations. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1877(5). 188794–188794. 6 indexed citations
12.
Du, Ming, et al.. (2020). A Nomogram Model to Predict Malignant Cerebral Edema in Ischemic Stroke Patients Treated with Endovascular Thrombectomy: An Observational Study. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Cong, Qing, Yu Song, Qing Wang, et al.. (2018). A Large Retrospective Study of 12714 Cases of LEEP Conization Focusing on Cervical Cancer That Colposcopy-Directed Biopsy Failed to Detect. BioMed Research International. 2018. 1–6. 9 indexed citations
14.
Du, Ming, et al.. (2018). 含Cr低合金钢的CO 2 腐蚀产物膜形成及机理研究进展. Corrosion Science and Protetion Technology. 31(3). 335–342. 2 indexed citations
15.
Feng, Hua, et al.. (2017). Meta-analysis of TP73 polymorphism and cervical cancer. Genetics and Molecular Research. 16(1). 9 indexed citations
16.
Ding, Yi, Wulian Chen, Jianhua Hu, Ming Du, & Dong Yang. (2014). Polymerizable disulfide paclitaxel prodrug for controlled drug delivery. Materials Science and Engineering C. 44. 386–390. 14 indexed citations
17.
Liu, Yang, Ming Du, & Genyi Zhang. (2014). Proapoptotic activity of aflatoxin B1 and sterigmatocystin in HepG2 cells. Toxicology Reports. 1. 1076–1086. 53 indexed citations
18.
Li, Hanwen, Jin Z. Zhang, Qianqian Tang, et al.. (2013). Reduction-responsive drug delivery based on mesoporous silica nanoparticle core with crosslinked poly(acrylic acid) shell. Materials Science and Engineering C. 33(6). 3426–3431. 38 indexed citations
19.
Zheng, Yong, Ying Yi, Yipeng Qi, et al.. (2006). Preparation of chitosan–copper complexes and their antitumor activity. Bioorganic & Medicinal Chemistry Letters. 16(15). 4127–4129. 56 indexed citations
20.
Du, Ming. (2005). Application of Wavelet Analysis in Denoise Processing. Jisuanji fangzhen. 2 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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