Yuejin Wu

2.7k total citations · 2 hit papers
80 papers, 2.1k citations indexed

About

Yuejin Wu is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Yuejin Wu has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 15 papers in Molecular Biology and 14 papers in Biomedical Engineering. Recurrent topics in Yuejin Wu's work include Plant Genetic and Mutation Studies (24 papers), GABA and Rice Research (10 papers) and Polymer-Based Agricultural Enhancements (8 papers). Yuejin Wu is often cited by papers focused on Plant Genetic and Mutation Studies (24 papers), GABA and Rice Research (10 papers) and Polymer-Based Agricultural Enhancements (8 papers). Yuejin Wu collaborates with scholars based in China, United States and Taiwan. Yuejin Wu's co-authors include Zengliang Yu, Binmei Liu, Xing Chen, Xiangdong Fu, Weiwei Liu, Huan Ma, Kun Wu, Xiaoyu Ni, Qian Liu and Shuansuo Wang and has published in prestigious journals such as Science, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Yuejin Wu

71 papers receiving 2.0k citations

Hit Papers

Heterotrimeric G proteins regulate nitrogen-use efficienc... 2014 2026 2018 2022 2014 2020 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
Yuejin Wu China 22 1.3k 514 467 183 177 80 2.1k
Yuming Fu China 23 972 0.8× 516 1.0× 122 0.3× 87 0.5× 74 0.4× 100 2.0k
Yifang Chen China 28 2.2k 1.7× 1.0k 2.0× 146 0.3× 93 0.5× 56 0.3× 81 3.3k
Amjad Hussain China 22 1.1k 0.9× 710 1.4× 84 0.2× 83 0.5× 131 0.7× 65 1.8k
Ting Jiang China 19 543 0.4× 648 1.3× 258 0.6× 84 0.5× 48 0.3× 56 1.6k
Yasuyuki Ishii Japan 23 280 0.2× 436 0.8× 234 0.5× 80 0.4× 113 0.6× 108 1.4k
Nikolaos S. Christodoulakis Greece 18 617 0.5× 288 0.6× 276 0.6× 23 0.1× 58 0.3× 64 1.3k
He Zhang China 24 661 0.5× 505 1.0× 81 0.2× 157 0.9× 119 0.7× 119 1.6k
Qing Zhou China 28 668 0.5× 519 1.0× 102 0.2× 65 0.4× 45 0.3× 117 2.0k
Yifei Liu China 26 972 0.8× 1.1k 2.2× 81 0.2× 188 1.0× 83 0.5× 110 2.4k
Kyoko Miwa Japan 24 2.7k 2.1× 792 1.5× 68 0.1× 31 0.2× 136 0.8× 47 3.1k

Countries citing papers authored by Yuejin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuejin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuejin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuejin Wu. A scholar is included among the top collaborators of Yuejin Wu 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 Yuejin Wu. Yuejin Wu 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, Ding, Jingjing Zhang, Shanpeng Qiao, et al.. (2025). The Effects of Feeding ybfQ-Deficient Gut Bacteria on Radio-Tolerance in Symbiotic Caenorhabditis elegans: The Key Role of Isoscoparin. Microorganisms. 13(11). 2626–2626.
2.
Liu, Qian, Dekai Wang, Kun Wu, et al.. (2025). Precise control of chromatin loop extrusion enhances sustainable green revolution yield in rice. Nature Genetics. 57(11). 2798–2807.
3.
Fang, Lei, Xue Li, Shengkai Li, et al.. (2025). Prevalence and genomic insights into Yersinia enterocolitica in Southeastern China (2008–2022). Applied Microbiology and Biotechnology. 109(1). 161–161.
5.
Xu, Zhuopin, Xiaohong Li, Liwen Tang, et al.. (2024). A rapid evaluation method for pumpkin sensory quality based on near‐infrared spectroscopy. Microwave and Optical Technology Letters. 66(11).
6.
Jiang, Hongrui, Fang Cheng, Yuan‐Han Yang, et al.. (2024). Mutation of rice SM1 enhances solid leaf midrib formation and increases methane emissions. Plant Science. 350. 112312–112312. 1 indexed citations
7.
Yu, Tianxiang, Qiyi Yi, Yan Du, et al.. (2024). High-complexity of DNA double-strand breaks is key for alternative end-joining choice. Communications Biology. 7(1). 936–936. 5 indexed citations
8.
9.
Xu, Zhuopin, Xiaohong Li, Weimin Cheng, et al.. (2023). Data fusion strategy based on ultraviolet–visible spectra and near-infrared spectra for simultaneous and accurate determination of key parameters in surface water. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 302. 123007–123007. 15 indexed citations
10.
Wu, Kun, Shuansuo Wang, Wenzhen Song, et al.. (2020). Enhanced sustainable green revolution yield via nitrogen-responsive chromatin modulation in rice. Science. 367(6478). 313 indexed citations breakdown →
11.
Jiang, Hongrui, Yafeng Ye, Dan He, et al.. (2020). Identification and gene localization of a novel rice brittle culm mutant bc17. ACTA AGRONOMICA SINICA. 47(1). 71–79. 1 indexed citations
12.
Yang, Yang, et al.. (2017). Effects of adding proportions of functional absorption materials on performance of new slow-release urea.. Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture. 25(5). 740–748. 3 indexed citations
13.
Xu, Wei, Ting Wang, Shaoxin Xu, et al.. (2016). UV-C-Induced alleviation of transcriptional gene silencing through plant–plant communication: Key roles of jasmonic acid and salicylic acid pathways. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 790. 56–67. 14 indexed citations
14.
Wang, Ting, Wei Xu, Fanghua Li, et al.. (2015). Modulation of modeled microgravity on radiation-induced bystander effects in Arabidopsis thaliana. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 773. 27–36. 16 indexed citations
15.
Wang, Ting, Fanghua Li, Shuyan Xu, et al.. (2011). The Time Course of Long-Distance Signaling in Radiation-Induced Bystander EffectIn VivoinArabidopsis thalianaDemonstrated Using Root Micro-Grafting. Radiation Research. 176(2). 234–243. 24 indexed citations
16.
Li, Fanghua, Ting Wang, Shuyan Xu, et al.. (2011). Abscopal mutagenic effect of low-energy-ions inArabidopsis Thalianaseeds. International Journal of Radiation Biology. 87(9). 984–992. 14 indexed citations
17.
Wu, Yuejin. (2010). AGRONOMIC CHARACTERS AND LODGING RESISTANCE OF PLANT HEIGHT MUTANTS OF RICE. Journal of Nuclear Agricultural Sciences. 1 indexed citations
18.
Tang, Qingfeng, et al.. (2009). Study on the relationship between lipoxygenase-3 and the characteristic of resisting storage insects of rice grain. Journal of Food Agriculture & Environment. 7. 334–338. 5 indexed citations
19.
Yang, Gen, Lijun Wu, Lianyun Chen, et al.. (2007). Targeted Irradiation of Shoot Apical Meristem of Arabidopsis Embryos Induces Long-Distance Bystander/Abscopal Effects. Radiation Research. 167(3). 298–305. 42 indexed citations
20.
Wu, Yuejin, et al.. (1995). Production of transgenic rice plants via low energy ion beam-mediated DNA delivery into mature embryos. 科学通报(英文版). 5 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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