Mingcai Liang

18 total papers · 550 total citations
16 papers, 404 citations indexed

About

Mingcai Liang is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Mingcai Liang has authored 16 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Nutrition and Dietetics. Recurrent topics in Mingcai Liang's work include Biochemical effects in animals (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Mingcai Liang is often cited by papers focused on Biochemical effects in animals (6 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Mingcai Liang collaborates with scholars based in China and Guyana. Mingcai Liang's co-authors include Zhengxuan Wang, Lin Yang, Qiong Wu, Hui Li, Hongjuan He, Liang Cai, Hui Li, Jiapei Ma, Liang Cai and Hui Li and has published in prestigious journals such as International Journal of Molecular Sciences, Food and Chemical Toxicology and Journal of the Science of Food and Agriculture.

In The Last Decade

Mingcai Liang

16 papers receiving 403 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mingcai Liang 169 85 81 70 41 16 404
Xin Wu 166 1.0× 68 0.8× 62 0.8× 33 0.5× 42 1.0× 17 360
Frank H. Hulcher 184 1.1× 74 0.9× 66 0.8× 61 0.9× 13 0.3× 19 429
Minji Woo 155 0.9× 75 0.9× 59 0.7× 51 0.7× 28 0.7× 32 361
Baocai Xie 163 1.0× 83 1.0× 61 0.8× 86 1.2× 27 0.7× 13 390
Akira Oh-hashi 124 0.7× 76 0.9× 215 2.7× 81 1.2× 31 0.8× 11 426
Fanrui Zhao 300 1.8× 156 1.8× 95 1.2× 43 0.6× 33 0.8× 21 430
Rinaldo Cardoso dos Santos 98 0.6× 81 1.0× 64 0.8× 63 0.9× 20 0.5× 24 398
Jean‐François Lesgards 124 0.7× 62 0.7× 47 0.6× 59 0.8× 17 0.4× 10 408
Seo-Young Han 111 0.7× 80 0.9× 200 2.5× 63 0.9× 23 0.6× 16 356
Zuomin Hu 192 1.1× 75 0.9× 74 0.9× 75 1.1× 13 0.3× 33 401

Countries citing papers authored by Mingcai Liang

Since Specialization
Citations

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

Fields of papers citing papers by Mingcai Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingcai Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingcai Liang. A scholar is included among the top collaborators of Mingcai Liang 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 Mingcai Liang. Mingcai Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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