Zi-Qing Miao

1.2k total citations · 1 hit paper
9 papers, 937 citations indexed

About

Zi-Qing Miao is a scholar working on Plant Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Zi-Qing Miao has authored 9 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Molecular Biology and 1 paper in Biomaterials. Recurrent topics in Zi-Qing Miao's work include Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (4 papers) and Postharvest Quality and Shelf Life Management (2 papers). Zi-Qing Miao is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (4 papers) and Postharvest Quality and Shelf Life Management (2 papers). Zi-Qing Miao collaborates with scholars based in China, Germany and Pakistan. Zi-Qing Miao's co-authors include Cheng‐Bin Xiang, Ruyu Bai, Jun Liu, Huimin Yong, Xin Zhang, Xingchi Wang, Jie‐Li Mao, Lin‐Hui Yu, Xiao‐Teng Cai and Ping‐Xia Zhao and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Journal of Experimental Botany.

In The Last Decade

Zi-Qing Miao

9 papers receiving 932 citations

Hit Papers

Development of antioxidant and intelligent pH-sensing pac... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zi-Qing Miao China 8 618 319 289 92 67 9 937
Cui Sun China 17 514 0.8× 205 0.6× 189 0.7× 185 2.0× 60 0.9× 26 868
A. Uthairatanakij Thailand 18 685 1.1× 228 0.7× 171 0.6× 233 2.5× 144 2.1× 121 954
Florence Charles France 14 565 0.9× 201 0.6× 114 0.4× 193 2.1× 170 2.5× 28 845
Rajinder Kumar Dhall India 11 657 1.1× 459 1.4× 79 0.3× 300 3.3× 98 1.5× 63 972
Misael Odín Vega‐García Mexico 16 476 0.8× 234 0.7× 112 0.4× 143 1.6× 120 1.8× 40 675
Elena Velickova North Macedonia 12 289 0.5× 298 0.9× 86 0.3× 283 3.1× 118 1.8× 22 700
Marcel Boulet Canada 10 382 0.6× 433 1.4× 131 0.5× 325 3.5× 62 0.9× 13 821
Silvanda de Melo Silva Brazil 18 677 1.1× 188 0.6× 174 0.6× 305 3.3× 116 1.7× 101 943
Huali Xue China 19 734 1.2× 78 0.2× 196 0.7× 166 1.8× 82 1.2× 74 961
Claudia E. Vergara Chile 11 535 0.9× 85 0.3× 312 1.1× 97 1.1× 73 1.1× 19 795

Countries citing papers authored by Zi-Qing Miao

Since Specialization
Citations

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

Fields of papers citing papers by Zi-Qing Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zi-Qing Miao. 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 Zi-Qing Miao. The network helps show where Zi-Qing Miao may publish in the future.

Co-authorship network of co-authors of Zi-Qing Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Zi-Qing Miao. A scholar is included among the top collaborators of Zi-Qing Miao 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 Zi-Qing Miao. Zi-Qing Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zhao, Ping‐Xia, Zi-Qing Miao, Jing Zhang, et al.. (2020). Arabidopsis MADS-box factor AGL16 negatively regulates drought resistance via stomatal density and stomatal movement. Journal of Experimental Botany. 71(19). 6092–6106. 47 indexed citations
2.
Xu, Ping, Ping‐Xia Zhao, Xiao‐Teng Cai, et al.. (2020). Integration of Jasmonic Acid and Ethylene Into Auxin Signaling in Root Development. Frontiers in Plant Science. 11. 60 indexed citations
3.
Chen, Zhen, Ping‐Xia Zhao, Zi-Qing Miao, et al.. (2019). SULTR3s Function in Chloroplast Sulfate Uptake and Affect ABA Biosynthesis and the Stress Response. PLANT PHYSIOLOGY. 180(1). 593–604. 68 indexed citations
4.
Yong, Huimin, Xingchi Wang, Ruyu Bai, et al.. (2018). Development of antioxidant and intelligent pH-sensing packaging films by incorporating purple-fleshed sweet potato extract into chitosan matrix. Food Hydrocolloids. 90. 216–224. 378 indexed citations breakdown →
5.
Miao, Zi-Qing, Ping‐Xia Zhao, Jie‐Li Mao, et al.. (2018). HOMEOBOX PROTEIN52 Mediates the Crosstalk between Ethylene and Auxin Signaling during Primary Root Elongation by Modulating Auxin Transport-Related Gene Expression. The Plant Cell. 30(11). 2761–2778. 62 indexed citations
6.
Yu, Lin‐Hui, Jie Wu, Zi‐Sheng Zhang, et al.. (2017). Arabidopsis MADS-Box Transcription Factor AGL21 Acts as Environmental Surveillance of Seed Germination by Regulating ABI5 Expression. Molecular Plant. 10(6). 834–845. 66 indexed citations
7.
Li, Xiang, et al.. (2017). A convection-allowing ensemble forecast based on the breeding growth mode and associated optimization of precipitation forecast. Journal of Meteorological Research. 31(5). 955–964. 3 indexed citations
8.
Mao, Jie‐Li, Zi-Qing Miao, Zhen Wang, et al.. (2016). Arabidopsis ERF1 Mediates Cross-Talk between Ethylene and Auxin Biosynthesis during Primary Root Elongation by Regulating ASA1 Expression. PLoS Genetics. 12(1). e1005760–e1005760. 131 indexed citations
9.
Yu, Lin‐Hui, Zi-Qing Miao, Jie Wu, et al.. (2014). MADS-Box Transcription Factor AGL21 Regulates Lateral Root Development and Responds to Multiple External and Physiological Signals. Molecular Plant. 7(11). 1653–1669. 122 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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