Ming Gao

1.3k total citations
59 papers, 770 citations indexed

About

Ming Gao is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Ming Gao has authored 59 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 28 papers in Plant Science and 7 papers in Cell Biology. Recurrent topics in Ming Gao's work include Plant biochemistry and biosynthesis (21 papers), Plant Gene Expression Analysis (19 papers) and Plant-Microbe Interactions and Immunity (7 papers). Ming Gao is often cited by papers focused on Plant biochemistry and biosynthesis (21 papers), Plant Gene Expression Analysis (19 papers) and Plant-Microbe Interactions and Immunity (7 papers). Ming Gao collaborates with scholars based in China, United States and Russia. Ming Gao's co-authors include Yangdong Wang, Yicun Chen, Liwen Wu, Yunxiao Zhao, Hengfu Yin, Yuan Wei, Juan Lu, Tian Li, Helong Bai and Liang Xue and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Ming Gao

54 papers receiving 761 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Gao China 19 375 353 125 61 54 59 770
Guangyan Feng China 20 414 1.1× 648 1.8× 112 0.9× 25 0.4× 18 0.3× 61 1.0k
Haobao Liu China 20 466 1.2× 722 2.0× 191 1.5× 20 0.3× 22 0.4× 49 1.2k
Muhammad Azhar Hussain China 14 331 0.9× 566 1.6× 70 0.6× 28 0.5× 30 0.6× 35 762
Min Jeong Hong South Korea 18 318 0.8× 608 1.7× 56 0.4× 36 0.6× 13 0.2× 81 840
Francisco Carlos Deschamps Brazil 16 171 0.5× 230 0.7× 132 1.1× 64 1.0× 14 0.3× 53 746
Guohuai Li China 20 365 1.0× 937 2.7× 78 0.6× 75 1.2× 10 0.2× 48 1.1k
Lei Yan China 25 561 1.5× 1.5k 4.2× 53 0.4× 90 1.5× 36 0.7× 75 1.8k
Tapan Kumar Mondal India 24 668 1.8× 1.3k 3.6× 92 0.7× 51 0.8× 11 0.2× 70 1.7k

Countries citing papers authored by Ming Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Gao. A scholar is included among the top collaborators of Ming Gao 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 Ming Gao. Ming Gao 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.
Chen, Ruizhan, et al.. (2025). Effects of extraction and modifications on physicochemical characteristics and bioactivities of lemon (Citrus limon L.) polysaccharides. Food Bioscience. 65. 105943–105943. 2 indexed citations
2.
Chen, Yicun, et al.. (2025). A Comprehensive Analysis of Transcriptomics and Metabolomics Reveals Key Genes Involved in Terpenes Biosynthesis Pathway of Litsea cubeba Under Light and Darkness Treatments. International Journal of Molecular Sciences. 26(7). 2992–2992. 1 indexed citations
3.
Zhao, Yunxiao, et al.. (2025). LcMYB43 enhances monoterpene biosynthesis by activating 1-deoxy-D-xylulose-5-phosphate synthase gene expression in Litsea cubeba. International Journal of Biological Macromolecules. 304(Pt 1). 140860–140860. 1 indexed citations
4.
Yang, Yang, Jia Wang, Ming Gao, et al.. (2024). Genome-wide investigation of family‑1 UDP glycosyltransferases reveals the Fusarium resistance role of VfUGT90A2 in tung trees. Industrial Crops and Products. 222. 119471–119471. 1 indexed citations
5.
Wang, Siqi, Yunxiao Zhao, Yicun Chen, Ming Gao, & Yangdong Wang. (2023). The Association between BZIP Transcription Factors and Flower Development in Litsea cubeba. International Journal of Molecular Sciences. 24(23). 16646–16646. 2 indexed citations
6.
Gao, Jing, Yicun Chen, Ming Gao, et al.. (2023). LcWRKY17, a WRKY Transcription Factor from Litsea cubeba, Effectively Promotes Monoterpene Synthesis. International Journal of Molecular Sciences. 24(8). 7210–7210. 19 indexed citations
7.
Zhao, Yunxiao, et al.. (2023). Overexpression of <i>1-deoxy-D-xylulose-5-phosphate reductoisomerase</i> enhances the monoterpene content in <i>Litsea cubeba</i>. SHILAP Revista de lepidopterología. 3(1). 0–0. 4 indexed citations
8.
Zhang, Chengzhi, et al.. (2023). Food preference strategy of four sympatric rodents in a temperate forest in northeast China. ZooKeys. 1158. 163–177.
9.
Chen, Yicun, et al.. (2023). Alcohol dehydrogenases regulated by a MYB44 transcription factor underlie Lauraceae citral biosynthesis. PLANT PHYSIOLOGY. 194(3). 1674–1691. 23 indexed citations
10.
Chen, Dong, Yicun Chen, Yangdong Wang, et al.. (2023). Revealing the composition and mechanism of the antibacterial activity of essential oil from the fruits of Litsea mollis Hemsl.. International Food Research Journal. 30(1). 79–86. 5 indexed citations
11.
Guo, Wei, Yu Dong, Qian Zhang, et al.. (2022). Driving force of COVID-19 among people living with HIV in Wuhan, China. AIDS Care. 34(11). 1364–1371. 5 indexed citations
12.
Yang, Jiahui, Yicun Chen, Ming Gao, et al.. (2022). Comprehensive identification of bHLH transcription factors in Litsea cubeba reveals candidate gene involved in the monoterpene biosynthesis pathway. Frontiers in Plant Science. 13. 1081335–1081335. 11 indexed citations
13.
Gao, Ming, et al.. (2021). Visual relationship detection-based emergency early-warning description generation in electric power industry. Journal of Image and Graphics. 26(7). 1583–1593. 4 indexed citations
14.
Zhang, Qiyan, Liwen Wu, Hengfu Yin, et al.. (2021). D6 protein kinase in root xylem benefiting resistance to Fusarium reveals infection and defense mechanisms in tung trees. Horticulture Research. 8(1). 240–240. 4 indexed citations
15.
Kebrom, Tesfamichael H., Selamawit Woldesenbet, Haimanote K. Bayabil, et al.. (2019). Evaluation of phytotoxicity of three organic amendments to collard greens using the seed germination bioassay. Environmental Science and Pollution Research. 26(6). 5454–5462. 43 indexed citations
17.
Gao, Ming, Yicun Chen, & Yangdong Wang. (2016). Evaluation of the Yields and Chemical Compositions of the Essential Oils of Different Litsea cubeba Varieties. Journal of Essential Oil Bearing Plants. 19(8). 1888–1902. 10 indexed citations
18.
Chen, Yicun, et al.. (2015). Effects of tung oilseed FAD2 and DGAT2 genes on unsaturated fatty acid accumulation in Rhodotorula glutinis and Arabidopsis thaliana. Molecular Genetics and Genomics. 290(4). 1605–1613. 25 indexed citations
19.
Wang, Yangdong, et al.. (2015). Identification and characterization of NF-YB family genes in tung tree. Molecular Genetics and Genomics. 290(6). 2187–2198. 6 indexed citations
20.
Xue, Liang, Jianfeng Liu, Shengqing Shi, et al.. (2013). Uptake of Heavy Metals by Native Herbaceous Plants in an Antimony Mine (Hunan, China). CLEAN - Soil Air Water. 42(1). 81–87. 35 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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