Min Shi

2.5k total citations · 1 hit paper
25 papers, 1.9k citations indexed

About

Min Shi is a scholar working on Plant Science, Molecular Biology and Pharmacology. According to data from OpenAlex, Min Shi has authored 25 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 10 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in Min Shi's work include Plant Molecular Biology Research (11 papers), Polysaccharides and Plant Cell Walls (8 papers) and Plant Stress Responses and Tolerance (8 papers). Min Shi is often cited by papers focused on Plant Molecular Biology Research (11 papers), Polysaccharides and Plant Cell Walls (8 papers) and Plant Stress Responses and Tolerance (8 papers). Min Shi collaborates with scholars based in China, Japan and Nepal. Min Shi's co-authors include Jiping Gao, Hong‐Xuan Lin, Dai‐Yin Chao, Mei‐Zhen Zhu, Yingnan Yang, Jun‐Xiang Shan, Cui Long-Gang, Zhenya Zhang, Xin‐Yuan Huang and Changkui Guo and has published in prestigious journals such as Genes & Development, PLoS ONE and Nature Cell Biology.

In The Last Decade

Min Shi

24 papers receiving 1.9k citations

Hit Papers

The miR156‐SPL9‐DFR pathway coordinates the relationship ... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The miR156‐SPL9‐DFR pathway coordinates the relationship between development and abiotic stress tolerance in plants
    2014 374 citations Cui Long-Gang, Jun‐Xiang Shan et al. The Plant Journal profile →

Peers

Min Shi
Xin Meng China
Pramod Tandon India
Kai Feng China
In‐Cheol Jang Singapore
Simon Goepfert Switzerland
Hyun Uk Kim South Korea
Chuan Xiong China
Yunjun Liu China
Lina Ding China
Remo Reggiani Spain
Xin Meng China
Min Shi
Citations per year, relative to Min Shi Min Shi (= 1×) peers Xin Meng

Countries citing papers authored by Min Shi

Since Specialization
Citations

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

Fields of papers citing papers by Min Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Min Shi. A scholar is included among the top collaborators of Min Shi 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 Min Shi. Min Shi 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.
Liu, Jianming, Shunshun Zhu, Fan Liang, et al.. (2025). Easy triplex: An online tool for predicting the formation of DNA RNA triple helices. Computational and Structural Biotechnology Journal. 27. 1550–1558.
2.
Zhao, Junli, Min Shi, Jing Yu, & Changkui Guo. (2022). SPL9 mediates freezing tolerance by directly regulating the expression of CBF2 in Arabidopsis thaliana. BMC Plant Biology. 22(1). 59–59. 39 indexed citations
3.
Li, Guannan, Xuejuan Xia, Shan Zhao, et al.. (2020). The physiological and toxicological effects of antibiotics on an interspecies insect model. Chemosphere. 248. 126019–126019. 38 indexed citations
4.
Xia, Yan, Min Shi, Feng Zhan, et al.. (2020). Comparative transcriptome analysis of flower bud transition and functional characterization of EjAGL17 involved in regulating floral initiation in loquat. PLoS ONE. 15(10). e0239382–e0239382. 8 indexed citations
5.
6.
Han, Junyou, Guoxin Zhou, Yunmin Xu, et al.. (2018). Silencing of miR156 confers enhanced resistance to brown planthopper in rice. Planta. 248(4). 813–826. 64 indexed citations
7.
Guo, Changkui, Yunmin Xu, Min Shi, et al.. (2017). Repression of miR156 by miR159 Regulates the Timing of the Juvenile-to-Adult Transition in Arabidopsis. The Plant Cell. 29(6). 1293–1304. 138 indexed citations
8.
Zhao, Daqiu, et al.. (2017). Identification and comparative profiling of miRNAs in herbaceous peony (Paeonia lactiflora Pall.) with red/yellow bicoloured flowers. Scientific Reports. 7(1). 44926–44926. 26 indexed citations
9.
Li, Yiting, et al.. (2016). Bioactivity Evaluation of Crude Polysaccharide from Rice Bran Fermented by Preussia Aemulans and the Changes in its Nutritional Contents. Journal of Food Biochemistry. 40(5). 664–672. 11 indexed citations
10.
Long-Gang, Cui, Jun‐Xiang Shan, Min Shi, Jiping Gao, & Hong‐Xuan Lin. (2015). DCA1 Acts as a Transcriptional Co-activator of DST and Contributes to Drought and Salt Tolerance in Rice. PLoS Genetics. 11(10). e1005617–e1005617. 85 indexed citations
11.
Long-Gang, Cui, Jun‐Xiang Shan, Min Shi, Jiping Gao, & Hong‐Xuan Lin. (2014). The miR156‐SPL9‐DFR pathway coordinates the relationship between development and abiotic stress tolerance in plants. The Plant Journal. 80(6). 1108–1117. 374 indexed citations breakdown →
12.
13.
Shi, Min, Zhenya Zhang, & Yingnan Yang. (2013). Antioxidant and immunoregulatory activity of Ganoderma lucidum polysaccharide (GLP). Carbohydrate Polymers. 95(1). 200–206. 159 indexed citations
14.
Yang, Xi, Yingnan Yang, Min Shi, et al.. (2013). Optimisation of Anthocyanin Extraction from Purple Pitaya and Verification of Antioxidant Properties, Antiproliferative Activity and Macrophage Proliferation Activity. International Journal of Biology. 5(3). 3 indexed citations
15.
Shi, Min, Yingnan Yang, Di Guan, Ying Zhang, & Zhenya Zhang. (2012). Bioactivity of the crude polysaccharides from fermented soybean curd residue by Flammulina velutipes. Carbohydrate Polymers. 89(4). 1268–1276. 64 indexed citations
16.
Shi, Min, et al.. (2012). Evaluation of Solid-State Fermentation by Ganoderma lucidum Using Soybean Curd Residue. Food and Bioprocess Technology. 6(7). 1856–1867. 24 indexed citations
17.
Shi, Min, et al.. (2011). Optimum Condition of Ecologic Feed Fermentation by Pleurotus ostreatus Using Soybean Curd Residue as Raw Materials. International Journal of Biology. 3(4). 10 indexed citations
18.
Sun, Shiyong, Dai‐Yin Chao, Xinmin Li, et al.. (2009). OsHAL3 mediates a new pathway in the light-regulated growth of rice. Nature Cell Biology. 11(7). 845–851. 42 indexed citations
19.
Huang, Xin‐Yuan, Dai‐Yin Chao, Jiping Gao, et al.. (2009). A previously unknown zinc finger protein, DST, regulates drought and salt tolerance in rice via stomatal aperture control. Genes & Development. 23(15). 1805–1817. 449 indexed citations
20.
Ge, Liangfa, Dai‐Yin Chao, Min Shi, et al.. (2008). Overexpression of the trehalose-6-phosphate phosphatase gene OsTPP1 confers stress tolerance in rice and results in the activation of stress responsive genes. Planta. 228(1). 191–201. 202 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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