Mingyuan Li

86 papers receiving 1.7k citations

Hit Papers

Composition design and medical application of liposomes 2019 · 434 citations
4342019202620212023100200300400

Peers

Mingyuan Li
Comparison fields: 5 of 125
  • Biomaterials 277
  • Pharmaceutical Science 127
  • Microbiology 103
  • Immunology 343
  • Molecular Biology 828
Replace Yuhong Zhen with:
Yuhong Zhen China
Subrata Majumdar India
Tae Heung Kang South Korea
Roberto Puleio Italy
Tao Hu China
Qiubing Chen China
Femke Broere Netherlands
Yeong-Min Park South Korea
Zhan Zhang United States
Hamed Laroui United States
Mingyuan Li relative to Yuhong Zhen China Yuhong Zhen's profile →
Citations per field
00.5×1.5×2.1×
Yuhong Zhen · 1×
Citations per year

Countries citing papers authored by Mingyuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingyuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingyuan Li, 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 Mingyuan Li Line = papers co-authored together Mingyuan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20254
4 20250
5 20240
6 20240
7 202325
8 20225
9 20222
10 20228
11 202212
12 2020108
13 201927
14 20162
15
A study of high cell density cultivation process of recombinant Helicobacter pylori multi-epitope vaccine engineering bacteria.
20154
16 201412
17
The Development of Compound Microorganism Bacterium Agent Using in the Production of Pixian Bean Paste
20121
18 20122
19 20125
20 200982

About Mingyuan Li

Mingyuan Li is a scholar working on Computational Mathematics, Microbiology, Biotechnology, Immunology and Biochemistry, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Machine Learning in Bioinformatics (6 papers), Antimicrobial Peptides and Activities (6 papers), Nanoparticle-Based Drug Delivery (6 papers), interferon and immune responses (5 papers), RNA and protein synthesis mechanisms (5 papers), Nanoplatforms for cancer theranostics (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Biomaterials (277 citations), Pharmaceutical Science (127 citations), Microbiology (103 citations), Immunology (343 citations) and Molecular Biology (828 citations). Mingyuan Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Peng Yu, Shuangshuang Li, Chunyang Du, Hervé Galons, Hua Sun, Na Guo, Yuou Teng, Xin Meng, Shunfang Wang and Xiumin Yan. Their work appears in journals such as European Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, International Journal of Food Science & Technology, Cancer Biotherapy and Radiopharmaceuticals and Archives of Virology.

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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