Peng Ai

834 total citations
14 papers, 222 citations indexed

About

Peng Ai is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Peng Ai has authored 14 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Surgery. Recurrent topics in Peng Ai's work include Insect Resistance and Genetics (4 papers), Plant Disease Resistance and Genetics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Peng Ai is often cited by papers focused on Insect Resistance and Genetics (4 papers), Plant Disease Resistance and Genetics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Peng Ai collaborates with scholars based in China and Canada. Peng Ai's co-authors include Aiping Zheng, Ping Li, Xi Zhang, Shuangcheng Li, Jun Zhu, Qiming Deng, Shiquan Wang, Hao Pan, Kui Chen and Qiao Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Peng Ai

14 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Ai China 11 108 91 47 25 23 14 222
Tuhin K. Guha Canada 8 255 2.4× 51 0.6× 40 0.9× 46 1.8× 11 0.5× 14 352
Kieran Bransfield United Kingdom 3 178 1.6× 34 0.4× 29 0.6× 37 1.5× 8 0.3× 3 304
Siji Nian China 11 104 1.0× 32 0.4× 85 1.8× 7 0.3× 9 0.4× 29 287
Hsueh-Han Lu Taiwan 10 166 1.5× 125 1.4× 98 2.1× 35 1.4× 29 1.3× 14 372
Vijay Muthukumar United States 8 159 1.5× 131 1.4× 35 0.7× 22 0.9× 17 0.7× 10 302
Xiaoqing Rong United States 11 132 1.2× 100 1.1× 11 0.2× 14 0.6× 10 0.4× 19 260
Jennifer Becker United States 11 208 1.9× 65 0.7× 22 0.5× 53 2.1× 31 1.3× 22 305
Wen Fong Ooi Singapore 7 120 1.1× 23 0.3× 12 0.3× 26 1.0× 16 0.7× 9 359
Taiyuan Li China 12 190 1.8× 32 0.4× 32 0.7× 26 1.0× 5 0.2× 31 283

Countries citing papers authored by Peng Ai

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ai. A scholar is included among the top collaborators of Peng 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 Peng Ai. Peng Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Zhang, Xi, et al.. (2021). NF-κB and neutrophil extracellular traps cooperate to promote breast cancer progression and metastasis. Experimental Cell Research. 405(2). 112707–112707. 46 indexed citations
2.
Ai, Peng, et al.. (2021). Viral mimetic poly(I:C) induces neutrophil extracellular traps via PAD4 to promote inflammation and thrombosis. Biochemical and Biophysical Research Communications. 565. 64–71. 10 indexed citations
3.
4.
Wang, Aijun, Na Wang, Peng Ai, et al.. (2018). The pathogenic mechanisms of Tilletia horrida as revealed by comparative and functional genomics. Scientific Reports. 8(1). 15413–15413. 20 indexed citations
5.
Wang, Aijun, et al.. (2018). Comparison of gene co-networks analysis provide a systems view of rice (Oryza sativa L.) response to Tilletia horrida infection. PLoS ONE. 13(10). e0202309–e0202309. 6 indexed citations
6.
Ai, Peng, et al.. (2017). MiR-411 suppressed vein wall fibrosis by downregulating MMP-2 via targeting HIF-1α. Journal of Thrombosis and Thrombolysis. 45(2). 264–273. 19 indexed citations
7.
Chen, Lei, Peng Ai, Jinfeng Zhang, et al.. (2016). RSIADB, a collective resource for genome and transcriptome analyses inRhizoctonia solaniAG1 IA. Database. 2016. baw031–baw031. 20 indexed citations
8.
Li, Qiao, et al.. (2015). Complete genome sequence of Bacillus thuringiensis HS18-1. Journal of Biotechnology. 214. 61–62. 7 indexed citations
9.
Li, Qiao, Li Xu, Ting Zou, et al.. (2015). Complete genome sequence of Bacillus thuringiensis strain HD521. Standards in Genomic Sciences. 10(1). 325–350. 16 indexed citations
10.
Wang, Na, et al.. (2015). Draft Genome Sequence of the Rice Kernel Smut Tilletia horrida Strain QB-1. Genome Announcements. 3(3). 15 indexed citations
11.
Li, Qiao, Peng Ai, Jun Zhu, et al.. (2013). Cloning and characterisation of a novel holotype crystal protein gene,cry59Ba1,fromBacillus thuringiensisstrain Bm59-2, toxic toSpodoptera exigua(Lepidoptera). Biocontrol Science and Technology. 23(8). 872–879. 1 indexed citations
12.
Li, Shuangcheng, Shiquan Wang, Qiming Deng, et al.. (2012). Identification of Genome-Wide Variations among Three Elite Restorer Lines for Hybrid-Rice. PLoS ONE. 7(2). e30952–e30952. 20 indexed citations
13.
Li, Shuangcheng, Wenbo Li, Ting Zou, et al.. (2012). Re-sequencing and genetic variation identification of a rice line with ideal plant architecture. Rice. 5(1). 18–18. 10 indexed citations
14.
Guan, Peng, Peng Ai, Jing Zhang, et al.. (2012). Complete Genome Sequence of Bacillus thuringiensis Serovar Sichuansis Strain MC28. Journal of Bacteriology. 194(24). 6975–6975. 21 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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