Gan Ai

732 total citations
33 papers, 474 citations indexed

About

Gan Ai is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Gan Ai has authored 33 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 10 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Gan Ai's work include Plant-Microbe Interactions and Immunity (21 papers), Plant Parasitism and Resistance (8 papers) and Plant Pathogens and Resistance (7 papers). Gan Ai is often cited by papers focused on Plant-Microbe Interactions and Immunity (21 papers), Plant Parasitism and Resistance (8 papers) and Plant Pathogens and Resistance (7 papers). Gan Ai collaborates with scholars based in China and United States. Gan Ai's co-authors include Daolong Dou, Danyu Shen, Maofeng Jing, Ai Xia, Meixiang Zhang, Hao Peng, Shutian Li, Ji Wang, Qi Li and Yanyu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Gan Ai

33 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gan Ai China 13 419 131 90 26 21 33 474
Yuting Sheng China 10 519 1.2× 148 1.1× 96 1.1× 22 0.8× 15 0.7× 25 567
René Fuchs Germany 12 501 1.2× 242 1.8× 122 1.4× 28 1.1× 31 1.5× 26 606
Xiben Wang Canada 13 406 1.0× 138 1.1× 79 0.9× 18 0.7× 7 0.3× 23 430
Baodian Guo China 13 679 1.6× 168 1.3× 118 1.3× 36 1.4× 20 1.0× 26 726
Minfeng Xue China 9 407 1.0× 185 1.4× 139 1.5× 13 0.5× 50 2.4× 12 484
Xiaoguo Zhu China 11 394 0.9× 193 1.5× 51 0.6× 12 0.5× 38 1.8× 14 431
Outi Niemi Finland 7 309 0.7× 87 0.7× 97 1.1× 15 0.6× 21 1.0× 7 348
Guiliang Jian China 13 423 1.0× 227 1.7× 90 1.0× 28 1.1× 34 1.6× 27 491
Isabell Küfner Germany 6 546 1.3× 132 1.0× 139 1.5× 20 0.8× 10 0.5× 6 580
Pin‐Yao Huang Taiwan 9 598 1.4× 249 1.9× 48 0.5× 32 1.2× 8 0.4× 10 673

Countries citing papers authored by Gan Ai

Since Specialization
Citations

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

Fields of papers citing papers by Gan Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gan Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Gan Ai. A scholar is included among the top collaborators of Gan Ai 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 Gan Ai. Gan Ai 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.
Zhong, Xueping, et al.. (2025). Identification, characterization, and expression of Oryza sativa tryptophan decarboxylase genes associated with fluroxypyr‐meptyl metabolism. The Plant Genome. 18(1). e20547–e20547. 3 indexed citations
2.
Dong, Xiaohua, Lu Xu, Xianglan Li, et al.. (2025). A typical NLR recognizes a family of structurally conserved effectors to confer plant resistance against adapted and non-adapted Phytophthora pathogens. Molecular Plant. 18(3). 485–500. 2 indexed citations
3.
Yin, Zhiyuan, Danyu Shen, Qingsong Zhang, et al.. (2024). A conserved protein family in mirid bug Riptortus pedestris plays dual roles in regulating plant immunity. PLANT PHYSIOLOGY. 196(4). 2812–2824. 4 indexed citations
4.
Li, Qi, et al.. (2024). Plant genes related to Phytophthora pathogens resistance. Phytopathology Research. 6(1). 6 indexed citations
5.
Ai, Gan, Hao Peng, Zhiyuan Yin, et al.. (2024). A catalogue of virulence strategies mediated by phytopathogenic effectors. Fundamental Research. 5(2). 663–673. 3 indexed citations
6.
Li, Yixin, Dandan Du, Hao Peng, et al.. (2024). Metformin blocks BIK1-mediated CPK28 phosphorylation and enhances plant immunity. Journal of Advanced Research. 68. 31–41. 5 indexed citations
7.
Zhu, Hai, Hao Peng, Xianglan Li, et al.. (2024). Phosphorylation of PIP2;7 by CPK28 or Phytophthora kinase effectors dampens pattern-triggered immunity in Arabidopsis. Plant Communications. 6(1). 101135–101135. 4 indexed citations
8.
Chen, Zhao Jie, et al.. (2024). Genome-wide identification and expression of Oryza sativa haloacid dehalogenase genes associated with oxadiazon metabolism. Genetic Resources and Crop Evolution. 72(3). 2665–2684. 2 indexed citations
9.
Chen, Zhao Jie, et al.. (2024). Genome-wide characterization and expression of Oryza sativa AP2 transcription factor genes associated with the metabolism of mesotrione. Chemical and Biological Technologies in Agriculture. 11(1). 4 indexed citations
10.
Chen, Zhao Jie, et al.. (2024). Comprehensive analyses show the enhancement effect of exogenous melatonin on fluroxypyr-meptyl multiple phase metabolisms in Oryza sativa for reducing environmental risks. Pesticide Biochemistry and Physiology. 203. 106021–106021. 7 indexed citations
11.
Ai, Gan, Cheng Yang, Rui Meng, et al.. (2023). The oomycete-specific BAG subfamily maintains protein homeostasis and promotes pathogenicity in an atypical HSP70-independent manner. Cell Reports. 42(11). 113391–113391. 2 indexed citations
12.
Dong, Yumei, Wendan Zhang, Jifen Li, et al.. (2022). Cyclophilin effector Al106 of mirid bug Apolygus lucorum inhibits plant immunity and promotes insect feeding by targeting PUB33. New Phytologist. 237(6). 2388–2403. 15 indexed citations
13.
Ai, Gan, Dong‐Lei Yang, & Daolong Dou. (2022). The warfare for plant highway: vascular plant–microbe interaction pinpoints lignin. Stress Biology. 2(1). 24–24. 1 indexed citations
14.
Ai, Gan, Ying Zhai, Jialu Li, et al.. (2022). Making Use of Plant uORFs to Control Transgene Translation in Response to Pathogen Attack. SHILAP Revista de lepidopterología. 2022. 9820540–9820540. 14 indexed citations
15.
Yang, Kun, Chao Chen, Yi Wang, et al.. (2022). Nep1-Like Proteins From the Biocontrol Agent Pythium oligandrum Enhance Plant Disease Resistance Independent of Cell Death and Reactive Oxygen Species. Frontiers in Plant Science. 13. 830636–830636. 7 indexed citations
16.
Ai, Gan, Kun Yang, Wenwu Ye, et al.. (2020). Prediction and Characterization of RXLR Effectors in Pythium Species. Molecular Plant-Microbe Interactions. 33(8). 1046–1058. 29 indexed citations
17.
Xia, Ai, Bingxin Li, Xiong Zhang, et al.. (2020). The Fungal-Specific Transcription Factor VpFSTF1 Is Required for Virulence in Valsa pyri. Frontiers in Microbiology. 10. 2945–2945. 18 indexed citations
18.
Li, Qi, Gan Ai, Danyu Shen, et al.. (2019). A Phytophthora capsici Effector Targets ACD11 Binding Partners that Regulate ROS-Mediated Defense Response in Arabidopsis. Molecular Plant. 12(4). 565–581. 102 indexed citations
19.
He, Feng, Xiong Zhang, Gan Ai, et al.. (2018). Comparative transcriptomics of two Valsa pyri isolates uncover different strategies for virulence and growth. Microbial Pathogenesis. 123. 478–486. 9 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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