Yunlu Shi

552 total citations
13 papers, 382 citations indexed

About

Yunlu Shi is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Yunlu Shi has authored 13 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 7 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Yunlu Shi's work include Plant Molecular Biology Research (5 papers), Plant tissue culture and regeneration (4 papers) and Plant Stress Responses and Tolerance (3 papers). Yunlu Shi is often cited by papers focused on Plant Molecular Biology Research (5 papers), Plant tissue culture and regeneration (4 papers) and Plant Stress Responses and Tolerance (3 papers). Yunlu Shi collaborates with scholars based in China, Canada and Australia. Yunlu Shi's co-authors include Caifu Jiang, Xiaohong Yang, Xiaoyan Liang, Fenrong Li, Ming Zhang, Yibo Cao, Shiping Yang, Shuhua Yang, Zhizhong Gong and Jian Hua and has published in prestigious journals such as Nature Communications, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Yunlu Shi

10 papers receiving 370 citations

Peers

Yunlu Shi
Alicja Macko‐Podgórni Poland
Parmeshwar K. Sahu India
J. Aravind India
Kangjing Liang China
Shanmugam Rajasekar United States
Xuehui Yao China
Jingyun Luo China
Lanjuan Hu China
Rowan P. Herridge New Zealand
Magdy A. Al-Kordy Egypt
Alicja Macko‐Podgórni Poland
Yunlu Shi
Citations per year, relative to Yunlu Shi Yunlu Shi (= 1×) peers Alicja Macko‐Podgórni

Countries citing papers authored by Yunlu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yunlu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlu Shi

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

All Works

13 of 13 papers shown
1.
Yang, Shiping, Tian Tian, Zhirui Yang, et al.. (2025). Natural variation in ZmDapF1 enhances maize drought resilience. Nature Plants. 11(11). 2381–2394.
2.
Yin, Xiaohui, Feng Xu, Liangliang Huang, et al.. (2025). ZmHSCF1 enhances Agrobacterium-mediated transformation frequency in commercial maize inbred lines by promoting embryogenic callus proliferation. Plant Communications. 6(12). 101525–101525.
3.
Li, Yan, Jian Wang, Qiang Huo, et al.. (2024). MADS-box encoding gene Tunicate1 positively controls maize yield by increasing leaf number above the ear. Nature Communications. 15(1). 9799–9799. 3 indexed citations
4.
Liu, Shengnan, Minhui Lu, Yongqing Yang, et al.. (2024). Application of uniconazole in improving the high-throughput genetic transformation efficiency in maize. Plant Science. 349. 112270–112270. 2 indexed citations
5.
Zhong, Yu, Bin Feng, Xiaolong Qi, et al.. (2023). The RUBY reporter enables efficient haploid identification in maize and tomato. Plant Biotechnology Journal. 21(8). 1707–1715. 44 indexed citations
6.
Huang, Wei, Yunfei Li, Yan Du, et al.. (2022). Maize cytosolic invertase INVAN6 ensures faithful meiotic progression under heat stress. New Phytologist. 236(6). 2172–2188. 22 indexed citations
7.
Shi, Yiting, Jingyan Liu, Zhen Li, et al.. (2022). Natural polymorphism of ZmICE1 contributes to amino acid metabolism that impacts cold tolerance in maize. Nature Plants. 8(10). 1176–1190. 98 indexed citations
8.
Liu, Shengnan, Yunlu Shi, Fang Liu, Yan Guo, & Minhui Lu. (2022). LaCl3 treatment improves Agrobacterium-mediated immature embryo genetic transformation frequency of maize. Plant Cell Reports. 41(6). 1439–1448. 6 indexed citations
9.
Chen, Yanhong, Hongyan Xing, Yunlu Shi, et al.. (2022). Positional cloning and characterization reveal the role of a miRNA precursor gene ZmLRT in the regulation of lateral root number and drought tolerance in maize. Journal of Integrative Plant Biology. 65(3). 772–790. 14 indexed citations
10.
Zhang, Bin, Zhirui Yang, Yan Liu, et al.. (2021). Manipulating ZmEXPA4 expression ameliorates the drought-induced prolonged anthesis and silking interval in maize. The Plant Cell. 33(6). 2058–2071. 54 indexed citations
11.
Cao, Yibo, Ming Zhang, Xiaoyan Liang, et al.. (2020). Natural variation of an EF-hand Ca2+-binding-protein coding gene confers saline-alkaline tolerance in maize. Nature Communications. 11(1). 186–186. 128 indexed citations
12.
Xie, Shiyi, Hongbing Luo, Yumin Huang, et al.. (2020). A Missense Mutation in a Large Subunit of Ribonucleotide Reductase Confers Temperature-Gated Tassel Formation. PLANT PHYSIOLOGY. 184(4). 1979–1997. 11 indexed citations
13.
Shi, Yunlu, et al.. (2005). Analysis on crude protein content of silage corn in agriculture-animal husbandry ecotone and hyperspectral remote sensing estimation. Yumi kexue. 13(1). 64–68.

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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2026