Ming Du

49 papers receiving 771 citations

Hit Papers

Identification of novel umami peptides from oyster hydrolysate and the mechanisms underlying their taste characteristics using machine learning 2025 · 18 citations
180Years since publication51015

Peers

Ming Du
Comparison fields: 5 of 108
  • Biomaterials 156
  • Pathology and Forensic Medicine 143
  • Cancer Research 91
  • Oncology 152
  • Reproductive Medicine 38
Replace Ke Yi with:
Ke Yi China
Jiaqi Yan China
Esmaeil Sadroddiny Iran
Hui Cheng China
Antonella Bandiera Italy
Yanhong Su China
Sadegh Dehghani Iran
Baofeng Yu China
Luo‐Qin Fu China
Ming Du relative to Ke Yi China Ke Yi's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ming Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Du Line = papers co-authored together Ming Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995163
2 200656
3 201453
4 201646
5 201338
6 202335
7 201230
8 202028
9
High-resolution SSCP analysis using polyacrylamide agarose composite gel and a background-free silver staining method.
199528
10 201928
11 201723
12 201722
13
Fertility-conservation combined therapy with hysteroscopic resection and oral progesterone for local early stage endometrial carcinoma in young women.
201522
14 202021
15 202320
16
Identification of novel umami peptides from oyster hydrolysate and the mechanisms underlying their taste characteristics using machine learning
Hit paper breakdown →
202518
17 201217
18 201414
19 201914
20 20189

About Ming Du

Ming Du is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Oncology and Biomaterials, having authored 51 papers that have together received 784 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (6 papers), Biochemical Analysis and Sensing Techniques (5 papers), Nanoplatforms for cancer theranostics (4 papers), Dendrimers and Hyperbranched Polymers (4 papers), Cancer-related molecular mechanisms research (4 papers), Advanced Polymer Synthesis and Characterization (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Biomaterials (156 citations), Pathology and Forensic Medicine (143 citations), Cancer Research (91 citations), Oncology (152 citations) and Reproductive Medicine (38 citations). Ming Du has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include H Peng, Lang Pan, PG Isaacson, Nidhi Singh, Genyi Zhang, Dong Yang, Jianhua Hu, Yang Liu, Hanwen Li and Jin Z. Zhang. Their work appears in journals such as Food Chemistry, Journal of Ovarian Research, Materials Science and Engineering C, Journal of Polymer Science Part A Polymer Chemistry and Comparative Biochemistry and Physiology Part D Genomics and Proteomics.

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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