Mingxia Zhu

864 total citations
49 papers, 694 citations indexed

About

Mingxia Zhu is a scholar working on Molecular Biology, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Mingxia Zhu has authored 49 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Animal Science and Zoology and 10 papers in Agronomy and Crop Science. Recurrent topics in Mingxia Zhu's work include Meat and Animal Product Quality (14 papers), Genetic and phenotypic traits in livestock (6 papers) and Advanced Chemical Sensor Technologies (6 papers). Mingxia Zhu is often cited by papers focused on Meat and Animal Product Quality (14 papers), Genetic and phenotypic traits in livestock (6 papers) and Advanced Chemical Sensor Technologies (6 papers). Mingxia Zhu collaborates with scholars based in China, United States and Macao. Mingxia Zhu's co-authors include Changfa Wang, Mengmeng Li, Yonghui Wang, Wenqiong Chai, Zebo Huang, Wei Zhu, Xin Zhou, Guiqin Liu, Xiaoyan Ke and Zhenwei Zhang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Microbiology and Experimental Cell Research.

In The Last Decade

Mingxia Zhu

44 papers receiving 686 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingxia Zhu China 16 316 204 179 97 93 49 694
Ganqiu Lan China 14 256 0.8× 90 0.4× 85 0.5× 14 0.1× 109 1.2× 53 554
Rosa Maria Lopparelli Italy 13 180 0.6× 57 0.3× 45 0.3× 69 0.7× 60 0.6× 30 453
Xuewen Xu China 16 367 1.2× 237 1.2× 192 1.1× 36 0.4× 249 2.7× 55 793
Christiane Neuhoff Germany 22 725 2.3× 162 0.8× 416 2.3× 18 0.2× 245 2.6× 52 1.4k
Amjad Riaz Pakistan 12 102 0.3× 31 0.2× 18 0.1× 100 1.0× 66 0.7× 66 561
Muhammad Azam Kakar Pakistan 8 236 0.7× 23 0.1× 76 0.4× 100 1.0× 51 0.5× 21 651
Kuiqing Cui China 14 368 1.2× 64 0.3× 73 0.4× 8 0.1× 213 2.3× 54 651
Feng Huang China 18 407 1.3× 51 0.3× 178 1.0× 37 0.4× 48 0.5× 47 958
Yongqing Zeng China 15 259 0.8× 142 0.7× 164 0.9× 13 0.1× 159 1.7× 66 646

Countries citing papers authored by Mingxia Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Mingxia Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxia Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxia Zhu. A scholar is included among the top collaborators of Mingxia Zhu 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 Mingxia Zhu. Mingxia Zhu 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
1.
Ding, Lu, Yan Zhao, Mingxia Zhu, et al.. (2025). Characterization and discrimination of quality and volatiles in beef hotpot based on GC-IMS and multivariate analysis. Food Chemistry X. 29. 102682–102682.
2.
Ren, Pengwei, Yuanyuan Jing, Yang Liu, et al.. (2025). Runs of homozygosity and selection signals analysis reveals domestication traits and divergence in local domestic duck breeds. Poultry Science. 104(9). 105404–105404.
3.
Li, Mengmeng, Xinyi Du, Limin Man, et al.. (2024). Characterization and discrimination of donkey milk lipids and volatiles across lactation stages. Food Chemistry X. 23. 101740–101740. 5 indexed citations
4.
Wu, S.K., Zhenwei Zhang, Muhammad Zahoor Khan, et al.. (2024). Establishment of a mouse model of ovarian oxidative stress induced by hydrogen peroxide. Frontiers in Veterinary Science. 11. 1484388–1484388. 3 indexed citations
5.
Li, Mengmeng, Xinyi Du, Limin Man, et al.. (2024). Characterization of lipids and volatile compounds in boiled donkey meat by lipidomics and volatilomics. Journal of Food Science. 89(6). 3445–3454. 9 indexed citations
6.
Chai, Wenqiong, Liyuan Wang, Tong Li, et al.. (2024). Liquid Chromatography–Mass Spectrometry-Based Metabolomics Reveals Dynamic Metabolite Changes during Early Postmortem Aging of Donkey Meat. Foods. 13(10). 1466–1466. 7 indexed citations
8.
Li, Mengmeng, Limin Man, Wenqiong Chai, et al.. (2023). Characterization of Volatile Compounds in Donkey Meat by Gas Chromatography–Ion Mobility Spectrometry (GC–IMS) Combined with Chemometrics. Food Science of Animal Resources. 44(1). 165–177. 8 indexed citations
9.
Man, Limin, Han Chen, Wenqiong Chai, et al.. (2023). Characterization of donkey-meat flavor profiles by GC–IMS and multivariate analysis. Frontiers in Nutrition. 10. 1079799–1079799. 26 indexed citations
10.
Zhu, Mingxia, et al.. (2022). A Comprehensive Review of Lipidomics and Its Application to Assess Food Obtained from Farm Animals. Food Science of Animal Resources. 42(1). 1–17. 29 indexed citations
11.
Chai, Wenqiong, Qiugang Ma, Mingxia Zhu, et al.. (2022). RNA-seq analysis identifies differentially expressed gene in different types of donkey skeletal muscles. Animal Biotechnology. 34(5). 1786–1795. 19 indexed citations
12.
Wang, Yonghui, Wenqiang Liu, Guiqin Liu, et al.. (2022). Identification of equine herpesvirus 8 in donkey abortion: a case report. Virology Journal. 19(1). 10–10. 17 indexed citations
13.
Li, Mengmeng, Demin Zhang, Wenqiong Chai, et al.. (2021). Chemical and physical properties of meat from Dezhou black donkey. Food Science and Technology Research. 28(1). 87–94. 18 indexed citations
14.
Li, Mengmeng, Mingxia Zhu, Wenqiong Chai, et al.. (2021). Determination of lipid profiles of Dezhou donkey meat using an LC‐MS‐based lipidomics method. Journal of Food Science. 86(10). 4511–4521. 35 indexed citations
15.
Li, Mengmeng, Mingxia Zhu, Wenqiong Chai, et al.. (2021). Determination of the Heterogeneity of Intramuscular Fat and Visceral Adipose Tissue From Dezhou Donkey by Lipidomics and Transcriptomics Profiling. Frontiers in Nutrition. 8. 746684–746684. 28 indexed citations
16.
Zhu, Xiaowen, et al.. (2018). MicroRNA-506 inhibits the proliferation and invasion of mantle cell lymphoma cells by targeting B7 H3. Biochemical and Biophysical Research Communications. 508(4). 1067–1073. 26 indexed citations
17.
Zhu, Mingxia, Xin Zhou, Yiping Du, et al.. (2016). miR-20a induces cisplatin resistance of a human gastric cancer cell line via targeting CYLD. Molecular Medicine Reports. 14(2). 1742–1750. 57 indexed citations
18.
Du, Yiping, Mingxia Zhu, Xin Zhou, et al.. (2015). miR-20a enhances cisplatin resistance of human gastric cancer cell line by targeting NFKBIB. Tumor Biology. 37(1). 1261–1269. 45 indexed citations
19.
Zhang, Wei, Jing Wang, Yanfang Wang, et al.. (2015). B7-H3 silencing by RNAi inhibits tumor progression and enhances chemosensitivity in U937 cells. OncoTargets and Therapy. 8. 1721–1721. 41 indexed citations
20.
Guan, Li, Yanlin Zhang, Tao Wen, et al.. (2010). Dynamic Changes of Heme Oxygenase-1 in the Hippocampus of Rats After Acute Carbon Monoxide Poisoning. Archives of Environmental Contamination and Toxicology. 60(1). 165–172. 10 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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