Mingqi Liu

2.4k citations
93 papers · 1.9k · h-index 27

Impact in

Papers in

Mingqi Liu

88 papers receiving 1.9k citations

Peers

Mingqi Liu
Comparison fields: 5 of 130
  • Biotechnology 358
  • Biomedical Engineering 723
  • Structural Biology 23
  • Biomaterials 210
  • Materials Chemistry 576
Replace Karen C. Waldron with:
Karen C. Waldron Canada
Yoo Jin Oh South Korea
Toshio Ohtani Japan
Fiorenza Rancan Germany
Mohamed F. Foda China
Catherine Dartiguenave Canada
Huan Zhang China
Zhiyi Chen China
Juan José Valle‐Delgado Finland
Mingqi Liu relative to Karen C. Waldron Canada Karen C. Waldron's profile →
Citations per field
00.5×3.2×
Karen C. Waldron · 1×
Citations per year

Countries citing papers authored by Mingqi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mingqi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012149
2 1994109
3 199879
4 201977
5 199477
6 199965
7 200761
8 200556
9 202251
10 202151
11 201848
12 200642
13 201340
14 201640
15 201939
16 201738
17 199535
18 201334
19 199834
20 201933

About Mingqi Liu

Mingqi Liu is a scholar working on Biomedical Engineering, Molecular Biology, Biotechnology, Materials Chemistry and Plant Science, having authored 93 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (29 papers), Enzyme Production and Characterization (25 papers), Polysaccharides and Plant Cell Walls (9 papers), Studies on Chitinases and Chitosanases (9 papers), Enzyme Catalysis and Immobilization (8 papers), Nanoparticle-Based Drug Delivery (7 papers), Microbial Metabolites in Food Biotechnology (6 papers) and Carbon Nanotubes in Composites (6 papers). The work is most often cited by research in Biotechnology (358 citations), Biomedical Engineering (723 citations), Structural Biology (23 citations), Biomaterials (210 citations) and Materials Chemistry (576 citations). Mingqi Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include J. M. Cowley, Sia Nemat‐Nasser, Xianjun Dai, Rongfa Guan, Xin Xu, Xiaoyan Weng, Haitao Shen, Guangfu Liu, Jian-Yi Sun and Fei Lü. Their work appears in journals such as Protein Expression and Purification, International Journal of Biological Macromolecules, Enzyme and Microbial Technology, Food Chemistry and International Journal of Pharmaceutics.

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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