Mingyang Quan

1.0k total citations
48 papers, 671 citations indexed

About

Mingyang Quan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Mingyang Quan has authored 48 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 30 papers in Plant Science and 18 papers in Genetics. Recurrent topics in Mingyang Quan's work include Plant Gene Expression Analysis (27 papers), Plant Molecular Biology Research (27 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Mingyang Quan is often cited by papers focused on Plant Gene Expression Analysis (27 papers), Plant Molecular Biology Research (27 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). Mingyang Quan collaborates with scholars based in China, Canada and Australia. Mingyang Quan's co-authors include Deqiang Zhang, Qingzhang Du, Liang Xiao, Jinhui Chen, Wenjie Lu, Jianbo Xie, Yuepeng Song, Fangyuan Song, Yousry A. El‐Kassaby and Xin Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Mingyang Quan

45 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyang Quan China 16 417 402 148 121 92 48 671
Peng Shuai China 8 517 1.2× 756 1.9× 114 0.8× 46 0.4× 126 1.4× 9 896
Naxin Huo United States 14 327 0.8× 735 1.8× 43 0.3× 157 1.3× 23 0.3× 16 900
Aurélie Christ France 13 835 2.0× 1.3k 3.2× 216 1.5× 29 0.2× 249 2.7× 16 1.5k
Pingchuan Deng China 15 481 1.2× 716 1.8× 57 0.4× 98 0.8× 70 0.8× 49 942
Zhikai Liang United States 15 257 0.6× 441 1.1× 48 0.3× 166 1.4× 52 0.6× 28 584
Shizhou Yu China 16 231 0.6× 602 1.5× 49 0.3× 191 1.6× 54 0.6× 42 742
Michaël Moison France 12 505 1.2× 834 2.1× 64 0.4× 30 0.2× 75 0.8× 12 984
Edoardo Bertolini Italy 13 253 0.6× 453 1.1× 23 0.2× 70 0.6× 26 0.3× 22 534
Lijun Liu China 14 367 0.9× 455 1.1× 28 0.2× 60 0.5× 10 0.1× 28 629
Flávia Thiebaut Brazil 13 297 0.7× 644 1.6× 44 0.3× 31 0.3× 30 0.3× 21 745

Countries citing papers authored by Mingyang Quan

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyang Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyang Quan. A scholar is included among the top collaborators of Mingyang Quan 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 Mingyang Quan. Mingyang Quan 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.
Zhang, Donghai, Mengjiao Zhang, Liang Xiao, et al.. (2025). Natural variants of AGL80.5 and FPA.3 contribute to bud break timing in poplar by controlling auxin biosynthesis. Science Advances. 11(51). eadz6824–eadz6824.
2.
Quan, Mingyang, Liang Xiao, Peng Li, et al.. (2025). Phylostratigraphic analysis revealed that ancient ohnologue PtoWRKY53 innovated a vascular transcription regulatory network in Populus. New Phytologist. 248(5). 2295–2315.
3.
4.
Du, Qingzhang, et al.. (2025). Calcium-dependent protein Kinases: Bridging growth and stress responses in plants. Plant Physiology and Biochemistry. 228. 110256–110256. 1 indexed citations
5.
Zhang, Donghai, Liang Xiao, Peng Li, et al.. (2024). Rare variations within the serine/arginine‐rich splicing factor PtoRSZ21 modulate stomatal size to determine drought tolerance in Populus. New Phytologist. 243(5). 1776–1794. 5 indexed citations
6.
Zhang, Wenke, Rui Huang, Weixiong Huang, et al.. (2024). Multi-omics analysis reveals genetic architecture and local adaptation of coumarins metabolites in Populus. BMC Plant Biology. 24(1). 1170–1170. 1 indexed citations
7.
Li, Peng, Yuling He, Liang Xiao, et al.. (2024). Temporal dynamics of genetic architecture governing leaf development in Populus. New Phytologist. 242(3). 1113–1130. 2 indexed citations
8.
Quan, Mingyang, Weixiong Huang, Zheng Wen, et al.. (2024). Genome-wide identification of protein kinase family in Populus tomentosa: Functional evidence for causative protein kinase in secondary cell wall biosynthesis. International Journal of Biological Macromolecules. 285. 138219–138219. 2 indexed citations
9.
Xiao, Liang, He Zhang, Mingyang Quan, et al.. (2023). Natural variation in the prolyl 4-hydroxylase gene PtoP4H9 contributes to perennial stem growth in Populus. The Plant Cell. 35(11). 4046–4065. 11 indexed citations
10.
Quan, Mingyang, Fangyuan Song, Liang Xiao, et al.. (2023). The PtoKNAT1-PtomiR6438a-PtoPOD38 axis controls lignin accumulation in Populus tomentosa. Industrial Crops and Products. 208. 117919–117919. 1 indexed citations
11.
Xiao, Liang, Mingyang Quan, Fangyuan Song, et al.. (2023). Allelic variation in transcription factor PtoWRKY68 contributes to drought tolerance in Populus. PLANT PHYSIOLOGY. 193(1). 736–755. 22 indexed citations
12.
Li, Peng, Liang Xiao, Qingzhang Du, et al.. (2023). Genomic insights into selection for heterozygous alleles and woody traits in Populus tomentosa. Plant Biotechnology Journal. 21(10). 2002–2018. 18 indexed citations
13.
Quan, Mingyang, et al.. (2020). Genetic interactions among Pto-miR319 family members and their targets influence growth and wood properties in Populus tomentosa. Molecular Genetics and Genomics. 295(4). 855–870. 3 indexed citations
14.
Ci, Dong, Min Tian, Yuepeng Song, et al.. (2019). Indole-3-acetic acid has long-term effects on long non-coding RNA gene methylation and growth in Populus tomentosa. Molecular Genetics and Genomics. 294(6). 1511–1525. 9 indexed citations
15.
Quan, Mingyang, Liang Xiao, Wenjie Lu, et al.. (2018). Association Genetics in Populus Reveal the Allelic Interactions of Pto-MIR167a and Its Targets in Wood Formation. Frontiers in Plant Science. 9. 744–744. 15 indexed citations
16.
Du, Qingzhang, et al.. (2018). Dissection of Insertion–Deletion Variants within Differentially Expressed Genes Involved in Wood Formation in Populus. Frontiers in Plant Science. 8. 2199–2199. 16 indexed citations
17.
Xiao, Liang, Mingyang Quan, Qingzhang Du, et al.. (2017). Allelic Interactions among Pto-MIR475b and Its Four Target Genes Potentially Affect Growth and Wood Properties in Populus. Frontiers in Plant Science. 8. 1055–1055. 8 indexed citations
18.
Quan, Mingyang, et al.. (2017). The Interactions between the Long Non-coding RNA NERDL and Its Target Gene Affect Wood Formation in Populus tomentosa. Frontiers in Plant Science. 8. 1035–1035. 11 indexed citations
19.
Yang, Xiaohui, Zunzheng Wei, Qingzhang Du, et al.. (2015). The genetic regulatory network centered on Pto-Wuschela and its targets involved in wood formation revealed by association studies. Scientific Reports. 5(1). 16507–16507. 3 indexed citations
20.

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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