Mao‐Song Pei

666 total citations
42 papers, 428 citations indexed

About

Mao‐Song Pei is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Mao‐Song Pei has authored 42 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 30 papers in Molecular Biology and 7 papers in Food Science. Recurrent topics in Mao‐Song Pei's work include Plant Gene Expression Analysis (20 papers), Horticultural and Viticultural Research (14 papers) and Plant Molecular Biology Research (12 papers). Mao‐Song Pei is often cited by papers focused on Plant Gene Expression Analysis (20 papers), Horticultural and Viticultural Research (14 papers) and Plant Molecular Biology Research (12 papers). Mao‐Song Pei collaborates with scholars based in China, New Zealand and Spain. Mao‐Song Pei's co-authors include Da‐Long Guo, Hainan Liu, Yi‐He Yu, Tong‐Lu Wei, Chao Gu, Shaoling Zhang, Chenjing Li, Lili Guo, Zhenguang Wang and Kui Lin‐Wang and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Mao‐Song Pei

39 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mao‐Song Pei China 12 345 257 40 38 18 42 428
Juxun Wu China 12 425 1.2× 316 1.2× 48 1.2× 39 1.0× 7 0.4× 21 534
Tong‐Lu Wei China 11 415 1.2× 246 1.0× 18 0.5× 31 0.8× 14 0.8× 38 494
Mizhen Zhao China 13 442 1.3× 275 1.1× 44 1.1× 28 0.7× 12 0.7× 37 549
Zhiming Yan China 11 323 0.9× 164 0.6× 31 0.8× 33 0.9× 7 0.4× 21 384
Min-Ha Kim South Korea 12 203 0.6× 270 1.1× 62 1.6× 45 1.2× 23 1.3× 36 406
Yazhong Jin China 14 415 1.2× 280 1.1× 30 0.8× 25 0.7× 22 1.2× 19 518
Huizhen Dong China 11 483 1.4× 376 1.5× 17 0.4× 16 0.4× 17 0.9× 21 567
Pierre‐Yves Véronneau Canada 9 335 1.0× 108 0.4× 67 1.7× 34 0.9× 20 1.1× 12 385
Shouguo Shi China 8 384 1.1× 145 0.6× 42 1.1× 29 0.8× 9 0.5× 8 454
Zhilin Zhou China 13 273 0.8× 204 0.8× 31 0.8× 30 0.8× 8 0.4× 27 375

Countries citing papers authored by Mao‐Song Pei

Since Specialization
Citations

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

Fields of papers citing papers by Mao‐Song Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao‐Song Pei. 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 Mao‐Song Pei. The network helps show where Mao‐Song Pei may publish in the future.

Co-authorship network of co-authors of Mao‐Song Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Mao‐Song Pei. A scholar is included among the top collaborators of Mao‐Song Pei 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 Mao‐Song Pei. Mao‐Song Pei 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.
Xing, Jianmin, Charles Ampomah‐Dwamena, Mao‐Song Pei, et al.. (2025). CHI–GSE–Nano-ZnO coating delays grape postharvest deterioration by inhibiting excess ROS via MYB714-pSTS484-mediated resveratrol biosynthesis. Food Bioscience. 74. 107889–107889.
2.
Xing, Jianmin, Lu Yang, K. K. Duan, et al.. (2025). Metabolomic profiling unveils biochemical dynamics in spontaneously fermented grape leaf by-products: towards sustainable agricultural waste valorization. Food Bioscience. 71. 107237–107237. 1 indexed citations
3.
Pei, Mao‐Song, et al.. (2024). Transcription factor VviAGL6a regulates fruit ripening by directly activating grape VviJMJ21. Scientia Horticulturae. 336. 113396–113396.
4.
Wei, Tong‐Lu, et al.. (2024). Mechanisms of Cadmium stress response in watermelon: Insights from physiological, transcriptomic, and metabolic analyses. Plant Physiology and Biochemistry. 215. 109017–109017. 7 indexed citations
5.
Gu, Chao, Mao‐Song Pei, Zhihua Guo, et al.. (2024). Multi-omics provide insights into the regulation of DNA methylation in pear fruit metabolism. Genome biology. 25(1). 70–70. 16 indexed citations
6.
Sun, Haoting, et al.. (2024). Transcriptome analysis revealed the stress memory of grapes after hydrogen peroxide acclimation treatment. Scientia Horticulturae. 328. 112938–112938. 3 indexed citations
7.
Jing, Pengwei, Hainan Liu, Mao‐Song Pei, et al.. (2023). Chlormequat chloride treatment inhibits grapevine stem growth via the VviRAP2.12 - VviEXPA7 regulatory module. Scientia Horticulturae. 313. 111891–111891. 2 indexed citations
8.
Liu, Hainan, Mao‐Song Pei, Charles Ampomah‐Dwamena, et al.. (2023). Genome-wide characterization of long terminal repeat retrotransposons provides insights into trait evolution of four cucurbit species. Functional & Integrative Genomics. 23(3). 218–218. 4 indexed citations
9.
Wei, Tong‐Lu, et al.. (2023). Comparative microbiome analysis reveals the variation in microbial communities between ‘Kyoho’ grape and its bud mutant variety. PLoS ONE. 18(8). e0290853–e0290853. 2 indexed citations
10.
Pei, Mao‐Song, Hainan Liu, Tong‐Lu Wei, et al.. (2023). Identification, characterization, and verification of miR399 target gene in grape. Horticultural Plant Journal. 10(1). 91–102. 2 indexed citations
11.
Wei, Tong‐Lu, et al.. (2023). Identification of watermelon H3K4 and H3K27 genes and their expression profiles during watermelon fruit development. Molecular Biology Reports. 50(10). 8259–8270. 2 indexed citations
12.
Pei, Mao‐Song, et al.. (2022). Dissection of the Pearl of Csaba pedigree identifies key genomic segments related to early ripening in grape. PLANT PHYSIOLOGY. 191(2). 1153–1166. 6 indexed citations
13.
Pei, Mao‐Song, Hainan Liu, Yi‐He Yu, Tong‐Lu Wei, & Da‐Long Guo. (2022). Folic acid delays postharvest quality deterioration of table grape by regulating cell wall metabolism-associated hub WRKY31 transcription factor. Postharvest Biology and Technology. 197. 112207–112207. 6 indexed citations
14.
Santiago, Antonio, Huijie Li, Haoting Sun, et al.. (2022). Global analysis of alternative splicing events based on long- and short-read RNA sequencing during grape berry development. Gene. 852. 147056–147056. 2 indexed citations
15.
Liu, Hainan, Qun Shu, Kui Lin‐Wang, et al.. (2022). DNA methylation reprogramming provides insights into light-induced anthocyanin biosynthesis in red pear. Plant Science. 326. 111499–111499. 25 indexed citations
16.
Liu, Hainan, Qun Shu, Kui Lin‐Wang, et al.. (2021). The PyPIF5-PymiR156a-PySPL9-PyMYB114/MYB10 module regulates light-induced anthocyanin biosynthesis in red pear. PubMed Central. 1(1). 31 indexed citations
17.
Guo, Da‐Long, Zhenguang Wang, Mao‐Song Pei, Lili Guo, & Yi‐He Yu. (2020). Transcriptome analysis reveals mechanism of early ripening in Kyoho grape with hydrogen peroxide treatment. BMC Genomics. 21(1). 784–784. 41 indexed citations
18.
Liu, Wei, et al.. (2018). Studying on the strictly self-compatibility mechanism of ‘Liuyefeitao’ peach (Prunus persica L.). PLoS ONE. 13(8). e0200914–e0200914. 2 indexed citations
19.
L, Li, et al.. (2018). Cloning and identification of novel miRNAs in the flower organs of Korla fragrant pear at anthesis. The Journal of Horticultural Science and Biotechnology. 94(3). 305–316. 3 indexed citations
20.
Pei, Mao‐Song, et al.. (2016). Identification and expression analysis of genes related to calyx persistence in Korla fragrant pear. BMC Genomics. 17(1). 132–132. 36 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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