Penghui Ai

1.4k total citations
27 papers, 1.1k citations indexed

About

Penghui Ai is a scholar working on Molecular Biology, Plant Science and Neurology. According to data from OpenAlex, Penghui Ai has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Plant Science and 7 papers in Neurology. Recurrent topics in Penghui Ai's work include Plant Gene Expression Analysis (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Plant Molecular Biology Research (7 papers). Penghui Ai is often cited by papers focused on Plant Gene Expression Analysis (9 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Plant Molecular Biology Research (7 papers). Penghui Ai collaborates with scholars based in China, United States and Thailand. Penghui Ai's co-authors include Guohua Xu, Shubin Sun, Xiaorong Fan, Ling Yu, Qirong Shen, Ping Wu, Qiang Guo, Tony Miller, Yue Cao and Mian Gu and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and The Plant Journal.

In The Last Decade

Penghui Ai

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penghui Ai China 13 694 271 83 80 78 27 1.1k
Haixia Yu China 23 504 0.7× 633 2.3× 39 0.5× 8 0.1× 25 0.3× 79 1.5k
Jie Gu China 17 71 0.1× 128 0.5× 104 1.3× 10 0.1× 84 1.1× 43 952
Fuyu Yang China 16 180 0.3× 376 1.4× 103 1.2× 10 0.1× 239 3.1× 55 982
Zhihao Lin China 15 166 0.2× 199 0.7× 26 0.3× 115 1.4× 23 0.3× 40 700
Hongmei Yuan China 21 1.2k 1.8× 682 2.5× 55 0.7× 20 0.3× 28 0.4× 59 1.6k
Lu Gao China 16 141 0.2× 474 1.7× 23 0.3× 113 1.4× 61 0.8× 41 1.0k
Yogeshwar Shukla India 12 136 0.2× 153 0.6× 32 0.4× 43 0.5× 29 0.4× 15 616
Giovanna P. Longo Italy 19 374 0.5× 548 2.0× 18 0.2× 67 0.8× 42 0.5× 50 945
Qian Luo China 17 879 1.3× 721 2.7× 106 1.3× 5 0.1× 163 2.1× 39 1.4k
S. Anitha India 5 151 0.2× 110 0.4× 47 0.6× 20 0.3× 18 0.2× 10 415

Countries citing papers authored by Penghui Ai

Since Specialization
Citations

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

Fields of papers citing papers by Penghui Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghui Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Penghui Ai. A scholar is included among the top collaborators of Penghui 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 Penghui Ai. Penghui 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.
Mo, Chengjun, et al.. (2025). Pharmacomicrobiomics: a new field contributing to optimizing drug therapy in Parkinson’s disease. Gut Microbes. 17(1). 2454937–2454937. 3 indexed citations
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Ai, Penghui, et al.. (2023). Comparative analysis of two kinds of garlic seedings: qualities and transcriptional landscape. BMC Genomics. 24(1). 87–87. 4 indexed citations
5.
Ai, Penghui, et al.. (2023). Genome-wide characterization and expression analysis of MYB transcription factors in Chrysanthemum nankingense. BMC Plant Biology. 23(1). 140–140. 14 indexed citations
6.
Khan, Muhammad Ayoub, et al.. (2023). Comparative analysis of the chrysanthemum transcriptome with DNA methylation inhibitors treatment and silencing MET1 lines. BMC Plant Biology. 23(1). 47–47. 2 indexed citations
7.
Zhang, Yi, Shaoqing Xu, Yiwei Qian, et al.. (2023). Sodium butyrate ameliorates gut dysfunction and motor deficits in a mouse model of Parkinson’s disease by regulating gut microbiota. Frontiers in Aging Neuroscience. 15. 1099018–1099018. 33 indexed citations
8.
Yang, Xiaodong, Xiaoqin He, Shaoqing Xu, et al.. (2023). Effect of Lacticaseibacillus paracasei strain Shirota supplementation on clinical responses and gut microbiome in Parkinson's disease. Food & Function. 14(15). 6828–6839. 46 indexed citations
9.
Wu, Yifei, et al.. (2022). Characterization of WRKY Gene Family in Whole-Genome and Exploration of Flowering Improvement Genes in Chrysanthemum lavandulifolium. Frontiers in Plant Science. 13. 861193–861193. 20 indexed citations
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Zhao, Qingchun, Jiadong Chen, Hongfang Jia, et al.. (2021). Characterization of two cis-acting elements, P1BS and W-box, in the regulation of OsPT6 responsive to phosphors deficiency. Plant Growth Regulation. 93(3). 303–310. 11 indexed citations
12.
Ai, Penghui, et al.. (2021). Comparison of chrysanthemum flowers grown under hydroponic and soil-based systems: yield and transcriptome analysis. BMC Plant Biology. 21(1). 517–517. 8 indexed citations
13.
Li, Jie, et al.. (2021). Dynamic changes of DNA methyltransferase and demethylase gene expression during Chrysanthemum × morifolium flower induction and development. European Journal of Horticultural Science. 86(2). 122–129. 2 indexed citations
14.
Zhu, Yi, et al.. (2021). Transcriptome analysis of differentially expressed genes in chrysanthemum MET1 RNA interference lines. Physiology and Molecular Biology of Plants. 27(7). 1455–1468. 5 indexed citations
15.
Pan, Yuan‐Bo, Chihao Zhang, Siqi Wang, et al.. (2018). Transforming growth factor beta induced (TGFBI) is a potential signature gene for mesenchymal subtype high-grade glioma. Journal of Neuro-Oncology. 137(2). 395–407. 32 indexed citations
16.
Ji, Zhe, Penghui Ai, Chen Shao, et al.. (2018). Manganese-Doped Carbon Dots for Magnetic Resonance/Optical Dual-Modal Imaging of Tiny Brain Glioma. ACS Biomaterials Science & Engineering. 4(6). 2089–2094. 66 indexed citations
17.
Zhang, Juan, Ning Chen, Hao Wang, et al.. (2016). Dual-targeting superparamagnetic iron oxide nanoprobes with high and low target density for brain glioma imaging. Journal of Colloid and Interface Science. 469. 86–92. 29 indexed citations
18.
Liu, Kang, Xin Shi, Tingjian Wang, et al.. (2016). Terbium-doped manganese carbonate nanoparticles with intrinsic photoluminescence and magnetic resonance imaging capacity. Journal of Colloid and Interface Science. 485. 25–31. 15 indexed citations
19.
Ai, Penghui, et al.. (2009). Regulation and function of Pht1 family phosphate transporters in rice. eScholarship (California Digital Library). 19(1-2). 66–76. 6 indexed citations
20.
Ai, Penghui, Shubin Sun, Xiaorong Fan, et al.. (2008). Two rice phosphate transporters, OsPht1;2 and OsPht1;6, have different functions and kinetic properties in uptake and translocation. The Plant Journal. 57(5). 798–809. 428 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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