Zheng Qing Fu

7.4k total citations · 3 hit papers
99 papers, 5.0k citations indexed

About

Zheng Qing Fu is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Zheng Qing Fu has authored 99 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 39 papers in Molecular Biology and 9 papers in Cell Biology. Recurrent topics in Zheng Qing Fu's work include Plant-Microbe Interactions and Immunity (45 papers), Plant Pathogenic Bacteria Studies (26 papers) and Legume Nitrogen Fixing Symbiosis (13 papers). Zheng Qing Fu is often cited by papers focused on Plant-Microbe Interactions and Immunity (45 papers), Plant Pathogenic Bacteria Studies (26 papers) and Legume Nitrogen Fixing Symbiosis (13 papers). Zheng Qing Fu collaborates with scholars based in United States, China and Canada. Zheng Qing Fu's co-authors include Xinnian Dong, James R. Alfano, Huan Chen, Fengquan Liu, Ming Guo, Ming Chang, Rajinikanth Mohan, Steven H. Spoel, Wei Wang and Yasuomi Tada and has published in prestigious journals such as Nature, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Zheng Qing Fu

87 papers receiving 4.9k citations

Hit Papers

Systemic Acquired Resistance: Turning Local Infection int... 2012 2026 2016 2021 2013 2012 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheng Qing Fu United States 30 4.1k 1.6k 328 289 199 99 5.0k
Eiichi Minami Japan 47 5.1k 1.2× 2.9k 1.7× 539 1.6× 324 1.1× 256 1.3× 94 6.0k
Meena L. Narasimhan United States 29 2.6k 0.7× 2.0k 1.2× 245 0.7× 335 1.2× 214 1.1× 50 3.7k
Hongwei Zhao China 30 2.7k 0.7× 1.7k 1.1× 298 0.9× 304 1.1× 68 0.3× 88 4.0k
Morten Petersen Denmark 34 5.4k 1.3× 3.3k 2.0× 366 1.1× 273 0.9× 142 0.7× 61 6.3k
Mansour Karimi Belgium 25 4.9k 1.2× 4.1k 2.5× 321 1.0× 226 0.8× 374 1.9× 50 6.1k
Blanca San Segundo Spain 44 3.8k 0.9× 2.5k 1.5× 452 1.4× 388 1.3× 550 2.8× 98 5.2k
Yusuke Saijo Japan 29 4.6k 1.1× 2.6k 1.6× 360 1.1× 92 0.3× 203 1.0× 52 5.4k
Yuejin Wang China 38 3.1k 0.8× 2.4k 1.4× 512 1.6× 213 0.7× 255 1.3× 173 4.0k
Ohkmae K. Park South Korea 32 2.9k 0.7× 2.0k 1.2× 273 0.8× 113 0.4× 103 0.5× 48 3.9k
Jan Sklenář United Kingdom 34 4.0k 1.0× 1.5k 0.9× 539 1.6× 126 0.4× 189 0.9× 63 4.6k

Countries citing papers authored by Zheng Qing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Qing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zheng Qing Fu. 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 Zheng Qing Fu. The network helps show where Zheng Qing Fu may publish in the future.

Co-authorship network of co-authors of Zheng Qing Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Qing Fu. A scholar is included among the top collaborators of Zheng Qing Fu 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 Zheng Qing Fu. Zheng Qing Fu 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, Xiaofeng, et al.. (2025). Functional analysis of the PcCDPK5 gene in response to allelopathic substances on p-hydroxybenzoic acid (p-HBA) stress in patchouli. Ecotoxicology and Environmental Safety. 291. 117807–117807.
2.
Fu, Zheng Qing, et al.. (2025). Glutathione's role in mitigating cadmium stress in Pogostemon cablin: Insights from combined transcriptomic and metabolomic approaches. Journal of Hazardous Materials. 491. 137921–137921. 7 indexed citations
3.
Fu, Zheng Qing, et al.. (2025). Systems-level exploitation of OxyR regulon unravels a potential antibacterial target in Pseudomonas aeruginosa. Communications Biology. 8(1). 1370–1370.
4.
Yin, Huawei, et al.. (2025). Enhanced anti-corrosion and anti-biofouling properties of superhydrophobic Co/Sn–Ag coating prepared by one-step electrodeposition method. Applied Surface Science. 711. 164108–164108. 2 indexed citations
5.
Wang, Yanyi, Yanyi Wang, Daowen Wang, et al.. (2025). Activation and suppression mechanisms of the NRG1 helper NLRs. Journal of Integrative Plant Biology. 67(8). 1985–1987. 1 indexed citations
6.
Liu, Lu-Xin, et al.. (2024). Chitosan oligosaccharides alleviate macrophage pyroptosis and protect sepsis mice via activating the Nrf2/GPX4 pathway. International Journal of Biological Macromolecules. 277(Pt 1). 133899–133899. 4 indexed citations
7.
Li, Guangwei, et al.. (2023). A new phase of treasure hunting in plant genebanks. Molecular Plant. 16(3). 503–505. 2 indexed citations
8.
Padia, Ravi N., Mahmuda Akter, Lei Sun, et al.. (2023). ASC/inflammasome-independent pyroptosis in ovarian cancer cells through translational augmentation of caspase-1. iScience. 26(12). 108408–108408. 14 indexed citations
9.
Khan, Shoaib, Faisal Islam, Yajin Ye, et al.. (2022). The Interplay between Hydrogen Sulfide and Phytohormone Signaling Pathways under Challenging Environments. International Journal of Molecular Sciences. 23(8). 4272–4272. 28 indexed citations
10.
Chen, Jian, Min Li, Longyu Liu, Gongyou Chen, & Zheng Qing Fu. (2021). ZAR1 resistosome and helper NLRs: Bringing in calcium and inducing cell death. Molecular Plant. 14(8). 1234–1236. 9 indexed citations
11.
Chang, Ming, Huan Chen, Fengquan Liu, & Zheng Qing Fu. (2021). PTI and ETI: convergent pathways with diverse elicitors. Trends in Plant Science. 27(2). 113–115. 130 indexed citations
12.
Chen, Jian, Huan Chen, Fengquan Liu, & Zheng Qing Fu. (2021). A war on the cell wall. Molecular Plant. 15(2). 219–221. 1 indexed citations
13.
Kong, Tim, Yibo Xue, Regina Cencic, et al.. (2019). eIF4A Inhibitors Suppress Cell-Cycle Feedback Response and Acquired Resistance to CDK4/6 Inhibition in Cancer. Molecular Cancer Therapeutics. 18(11). 2158–2170. 33 indexed citations
14.
Chen, Huan, Michael Clinton, Guang Qi, et al.. (2019). Connecting the Dots: A New and Complete Salicylic Acid Biosynthesis Pathway. Molecular Plant. 12(12). 1539–1541. 7 indexed citations
15.
Chang, Ming, Jinping Zhao, Huan Chen, et al.. (2019). PBS3 Protects EDS1 from Proteasome-Mediated Degradation in Plant Immunity. Molecular Plant. 12(5). 678–688. 29 indexed citations
16.
Chen, Xian, Cheng Sun, Pedro Laborda, et al.. (2018). Melatonin Treatment Inhibits the Growth of Xanthomonas oryzae pv. oryzae. Frontiers in Microbiology. 9. 2280–2280. 41 indexed citations
17.
Wen, Haichao, et al.. (2017). The influence of ripening stage and region on the chemical compounds in mulberry fruits ( Morus atropurpurea Roxb.) based on UPLC-QTOF-MS. Food Research International. 100(Pt 2). 159–165. 15 indexed citations
18.
Krizek, Beth A., Kaimei Xu, Ivory Blakley, et al.. (2016). RNA-Seq Links the Transcription Factors AINTEGUMENTA and AINTEGUMENTA-LIKE6 to Cell Wall Remodeling and Plant Defense Pathways. PLANT PHYSIOLOGY. 171(3). 2069–2084. 37 indexed citations
19.
Fu, Zheng Qing & Tao Jiang. (2008). CLUSTERING OF MAIN ORTHOLOGS FOR MULTIPLE GENOMES. Journal of Bioinformatics and Computational Biology. 6(3). 573–584. 8 indexed citations
20.
Fu, Zheng Qing, Ming Guo, Byeong‐ryool Jeong, et al.. (2007). A type III effector ADP-ribosylates RNA-binding proteins and quells plant immunity. Nature. 447(7142). 284–288. 296 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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