Mengya Gu

824 total citations
20 papers, 534 citations indexed

About

Mengya Gu is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Plant Science. According to data from OpenAlex, Mengya Gu has authored 20 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 6 papers in Plant Science. Recurrent topics in Mengya Gu's work include Tea Polyphenols and Effects (8 papers), Plant Gene Expression Analysis (7 papers) and Plant biochemistry and biosynthesis (6 papers). Mengya Gu is often cited by papers focused on Tea Polyphenols and Effects (8 papers), Plant Gene Expression Analysis (7 papers) and Plant biochemistry and biosynthesis (6 papers). Mengya Gu collaborates with scholars based in China, France and South Korea. Mengya Gu's co-authors include Naixing Ye, Pengjie Wang, Xuejin Chen, Shan Jin, Yucheng Zheng, Jiangfan Yang, Yun Sun, Xingtan Zhang, Xiaohong Chen and Xin-Ying Lin and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Food Chemistry.

In The Last Decade

Mengya Gu

17 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengya Gu China 11 326 216 185 142 120 20 534
Xiaozeng Mi China 15 345 1.1× 223 1.0× 355 1.9× 121 0.9× 97 0.8× 31 675
Chengzhe Zhou China 15 261 0.8× 278 1.3× 247 1.3× 234 1.6× 134 1.1× 30 630
Xuecheng Zhao China 11 433 1.3× 183 0.8× 225 1.2× 85 0.6× 174 1.4× 16 592
Yun Sun China 12 344 1.1× 154 0.7× 328 1.8× 108 0.8× 90 0.8× 18 593
Linlin Liu China 10 247 0.8× 132 0.6× 318 1.7× 72 0.5× 91 0.8× 17 501
Shiwei Gao China 14 193 0.6× 220 1.0× 341 1.8× 209 1.5× 120 1.0× 36 640
Dahe Qiao China 12 189 0.6× 159 0.7× 171 0.9× 102 0.7× 60 0.5× 37 437
Cheng-Ying Shi China 5 280 0.9× 130 0.6× 194 1.0× 56 0.4× 48 0.4× 8 458
Yanlin An China 13 276 0.8× 175 0.8× 291 1.6× 87 0.6× 74 0.6× 29 566
Dachuan Gu China 16 389 1.2× 187 0.9× 471 2.5× 115 0.8× 84 0.7× 33 714

Countries citing papers authored by Mengya Gu

Since Specialization
Citations

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

Fields of papers citing papers by Mengya Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengya Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Mengya Gu. A scholar is included among the top collaborators of Mengya Gu 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 Mengya Gu. Mengya Gu 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.
Liao, Zhenyang, Mengya Gu, Yuhang Zhang, et al.. (2025). Pan‐Genome of Jasminum sambac Reveals the Genetic Diversity of Different Petal Morphology and Aroma‐Related Genes. Molecular Ecology Resources. 25(7). e70013–e70013.
2.
Zhu, Yan‐Yu, Mengya Gu, Lawrence M. Liao, et al.. (2025). Multi-omics analysis of the mechanisms of abundant theacrine and EGCG3"Me in tea (Camellia sinensis). BMC Plant Biology. 25(1). 663–663.
3.
Gu, Mengya, Yuhang Zhang, Wenfeng Weng, et al.. (2025). Metabolomics analysis reveals dynamic changes of volatile and non-volatile metabolites during the scenting process of jasmine tea. Food Chemistry X. 28. 102617–102617. 1 indexed citations
4.
Chen, Xiubao, et al.. (2025). Chromosome-level genome assembly of the freshwater bivalve Anodonta woodiana. Scientific Data. 12(1). 731–731.
5.
Kim, Heesun, et al.. (2025). Regulatory roles of long non-coding RNAs in minipigs revealed by cross-breed and cross-tissue transcriptomic analyses. Scientific Reports. 15(1). 20788–20788. 1 indexed citations
6.
Gu, Mengya, Yuhang Zhang, Hongzheng Lin, et al.. (2024). Aroma formation in single- and double-petal jasmines (Jasminum sambac) during flowering via volatile metabolome and transcriptome. Scientia Horticulturae. 333. 113289–113289. 9 indexed citations
7.
Zhang, Yuhang, Mengya Gu, Shiwei Yang, et al.. (2024). Dynamic aroma characteristics of jasmine tea scented with single-petal jasmine “Bijian”: A comparative study with traditional double-petal jasmine. Food Chemistry. 464(Pt 2). 141735–141735. 14 indexed citations
8.
Gu, Mengya, Ting Gao, Mengting Xu, et al.. (2023). Identification and analysis of alleles in the aroma biosynthesis pathways based on Camellia sinensis ‘Jinguanyin’ haplotype-resolved genomes. Trees. 37(6). 1627–1641. 2 indexed citations
9.
Wang, Pengjie, Hongzheng Lin, Wenwen Yang, et al.. (2022). Genomes of single‐ and double‐petal jasmines (Jasminum sambac) provide insights into their divergence time and structural variations. Plant Biotechnology Journal. 20(7). 1232–1234. 24 indexed citations
10.
Wang, Pengjie, et al.. (2022). Changes in Non-Volatile and Volatile Metabolites Associated with Heterosis in Tea Plants (Camellia sinensis). Journal of Agricultural and Food Chemistry. 70(9). 3067–3078. 41 indexed citations
11.
Wang, Pengjie, Mengya Gu, Yaping Hong, et al.. (2022). High-resolution transcriptome and volatile assays provide insights into flower development and aroma formation in single- and double-petal jasmines (Jasminum sambac). Industrial Crops and Products. 189. 115846–115846. 18 indexed citations
12.
Wang, Pengjie, Mengya Gu, Yibin Wang, et al.. (2022). Allele‐specific expression and chromatin accessibility contribute to heterosis in tea plants (Camellia sinensis). The Plant Journal. 112(5). 1194–1211. 30 indexed citations
13.
Chen, Xiaohong, et al.. (2021). Identification of Co-Expressed Genes Related to Theacrine Synthesis in Tea Flowers at Different Developmental Stages. International Journal of Molecular Sciences. 22(24). 13394–13394. 8 indexed citations
14.
15.
Chen, Xuejin, Pengjie Wang, Xin-Ying Lin, et al.. (2021). Lipidomics analysis unravels changes from flavor precursors in different processing treatments of purple‐leaf tea. Journal of the Science of Food and Agriculture. 102(9). 3730–3741. 32 indexed citations
16.
Chen, Xuejin, Pengjie Wang, Mengya Gu, et al.. (2021). Identification of PAL genes related to anthocyanin synthesis in tea plants and its correlation with anthocyanin content. Horticultural Plant Journal. 8(3). 381–394. 66 indexed citations
17.
Wang, Pengjie, Jiaxin Yu, Shan Jin, et al.. (2021). Genetic basis of high aroma and stress tolerance in the oolong tea cultivar genome. Horticulture Research. 8(1). 107–107. 107 indexed citations
18.
Wang, Pengjie, Sirong Chen, Mengya Gu, et al.. (2020). Exploration of the Effects of Different Blue LED Light Intensities on Flavonoid and Lipid Metabolism in Tea Plants via Transcriptomics and Metabolomics. International Journal of Molecular Sciences. 21(13). 4606–4606. 80 indexed citations
19.
20.
Wang, Heng, et al.. (2004). Assignment of three novel genes to porcine chromosome 13 by a radiation hybrid panel. Cytogenetic and Genome Research. 108(4). 363J–363J. 2 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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