Beixin Mo

3.9k total citations · 1 hit paper
75 papers, 2.7k citations indexed

About

Beixin Mo is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Beixin Mo has authored 75 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 56 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Beixin Mo's work include Plant Molecular Biology Research (47 papers), RNA modifications and cancer (22 papers) and Photosynthetic Processes and Mechanisms (18 papers). Beixin Mo is often cited by papers focused on Plant Molecular Biology Research (47 papers), RNA modifications and cancer (22 papers) and Photosynthetic Processes and Mechanisms (18 papers). Beixin Mo collaborates with scholars based in China, United States and Hong Kong. Beixin Mo's co-authors include Xuemei Chen, Yu Yu, Liwen Jiang, Lin Liu, Lei Gao, Xiaofeng Cao, Yu Chung Tse, Sze Wan Lo, Min Zhao and Stefan Hillmer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Beixin Mo

73 papers receiving 2.7k citations

Hit Papers

MicroRNAs Inhibit the Translation of Target mRNAs on the ... 2013 2026 2017 2021 2013 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
Beixin Mo China 26 2.0k 1.8k 218 212 67 75 2.7k
Jun‐Yi Yang Taiwan 26 2.3k 1.2× 1.8k 1.0× 106 0.5× 121 0.6× 83 1.2× 73 3.0k
Laëtitia Fouillen France 23 657 0.3× 1.1k 0.6× 195 0.9× 126 0.6× 33 0.5× 45 1.6k
Leslie Sieburth United States 25 3.0k 1.5× 2.6k 1.5× 67 0.3× 138 0.7× 104 1.6× 38 3.6k
Manabu Yoshikawa Japan 18 2.2k 1.1× 1.7k 1.0× 60 0.3× 131 0.6× 136 2.0× 30 2.7k
Hélène San Clemente France 24 1.3k 0.6× 1.1k 0.6× 132 0.6× 192 0.9× 37 0.6× 48 2.0k
Jan Hejátko Czechia 29 2.4k 1.2× 2.2k 1.2× 75 0.3× 83 0.4× 14 0.2× 87 3.1k
Thomas Merkle Germany 26 1.4k 0.7× 1.4k 0.8× 116 0.5× 39 0.2× 34 0.5× 47 2.0k
Rebecca Schwab Germany 20 5.8k 3.0× 4.4k 2.5× 86 0.4× 383 1.8× 80 1.2× 31 6.5k
Nihal Dharmasiri United States 14 4.4k 2.2× 2.9k 1.6× 89 0.4× 68 0.3× 48 0.7× 20 4.7k
Olga Pontes United States 30 4.9k 2.5× 3.7k 2.1× 95 0.4× 109 0.5× 149 2.2× 40 5.8k

Countries citing papers authored by Beixin Mo

Since Specialization
Citations

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

Fields of papers citing papers by Beixin Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beixin Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Beixin Mo. A scholar is included among the top collaborators of Beixin Mo 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 Beixin Mo. Beixin Mo 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.
Dai, Xing, Wenwen Kong, Zhangyuan Pan, et al.. (2025). OsNUDX23 regulates early seed germination by modulating ROS balance and starch metabolism in rice. Frontiers in Plant Science. 16. 1581800–1581800. 1 indexed citations
3.
Chen, Lei, Juan He, Xufeng Wang, et al.. (2024). miR827 orchestrates the regulation of SPX‐MFS1 and SPX‐MFS5 with the assistance of lncRNA767 to enhance phosphate starvation tolerance and maize development. Plant Biotechnology Journal. 22(12). 3489–3504. 6 indexed citations
4.
Yang, Xiaoyu, Yu Yu, Lei Gao, et al.. (2024). MicroRNA1432 regulates rice drought stress tolerance by targeting the CALMODULIN-LIKE2 gene. PLANT PHYSIOLOGY. 195(3). 1954–1968. 14 indexed citations
5.
Wang, Xufeng, Yameng Liang, Juan He, et al.. (2023). INDETERMINATE1 autonomously regulates phosphate homeostasis upstream of the miR399-ZmPHO2signaling module in maize. The Plant Cell. 35(6). 2208–2231. 15 indexed citations
6.
Yu, Yu, Jie Cui, C. Liang, et al.. (2023). Multiomics Reveals the Regulatory Mechanisms of Arabidopsis Tissues under Heat Stress. International Journal of Molecular Sciences. 24(13). 11081–11081. 3 indexed citations
7.
Xu, Chi, Zhan‐Hui Zhang, Juan He, et al.. (2023). The DEAD‐box helicase RCF1 plays roles in miRNA biogenesis and RNA splicing in Arabidopsis. The Plant Journal. 116(1). 144–160. 5 indexed citations
8.
Kong, Wenwen, et al.. (2023). A high-efficient and naked-eye visible CRISPR/Cas9 system in Arabidopsis. Planta. 257(2). 30–30. 5 indexed citations
9.
He, Juan, Chi Xu, Chenjiang You, et al.. (2022). Parallel analysis of RNA ends reveals global microRNA ‐mediated target RNA cleavage in maize. The Plant Journal. 112(1). 268–283. 5 indexed citations
10.
Liang, C., Qiang Cai, Fei Wang, et al.. (2022). Arabidopsis RBV is a conserved WD40 repeat protein that promotes microRNA biogenesis and ARGONAUTE1 loading. Nature Communications. 13(1). 1217–1217. 27 indexed citations
11.
Xie, Qi, Xufeng Wang, Juan He, et al.. (2021). Distinct Evolutionary Profiles and Functions of microRNA156 and microRNA529 in Land Plants. International Journal of Molecular Sciences. 22(20). 11100–11100. 9 indexed citations
12.
Yoo, Chan Yul, Jiangman He, Qing Sang, et al.. (2021). Direct photoresponsive inhibition of a p53-like transcription activation domain in PIF3 by Arabidopsis phytochrome B. Nature Communications. 12(1). 5614–5614. 25 indexed citations
13.
Yang, Xiaoyu, Chenjiang You, Xufeng Wang, et al.. (2021). Widespread occurrence of microRNA-mediated target cleavage on membrane-bound polysomes. Genome biology. 22(1). 15–15. 20 indexed citations
14.
Yang, Xiaoyu, Jie Cui, Bo Song, et al.. (2020). Construction of High-Quality Rice Ribosome Footprint Library. Frontiers in Plant Science. 11. 572237–572237. 8 indexed citations
15.
Wang, Suikang, Li Quan, Shaofang Li, et al.. (2019). The PROTEIN PHOSPHATASE4 Complex Promotes Transcription and Processing of Primary microRNAs in Arabidopsis. The Plant Cell. 31(2). 486–501. 52 indexed citations
16.
Cai, Qiang, C. Liang, Suikang Wang, et al.. (2018). The disease resistance protein SNC1 represses the biogenesis of microRNAs and phased siRNAs. Nature Communications. 9(1). 5080–5080. 61 indexed citations
17.
You, Chenjiang, Jie Cui, Hui Wang, et al.. (2017). Conservation and divergence of small RNA pathways and microRNAs in land plants. Genome biology. 18(1). 158–158. 76 indexed citations
18.
Li, Shengben, Lin Liu, Xiaohong Zhuang, et al.. (2013). MicroRNAs Inhibit the Translation of Target mRNAs on the Endoplasmic Reticulum in Arabidopsis. Cell. 153(3). 562–574. 386 indexed citations breakdown →
19.
Zhao, Yuanyuan, Yu Yu, Jixian Zhai, et al.. (2012). The Arabidopsis Nucleotidyl Transferase HESO1 Uridylates Unmethylated Small RNAs to Trigger Their Degradation. Current Biology. 22(8). 689–694. 159 indexed citations
20.
Mo, Beixin, Yu Chung Tse, & Liwen Jiang. (2006). Plant Prevacuolar/Endosomal Compartments. International review of cytology. 253. 95–129. 30 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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