Aihu Pan

1.4k total citations
40 papers, 1.0k citations indexed

About

Aihu Pan is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Aihu Pan has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Plant Science and 7 papers in Ecology. Recurrent topics in Aihu Pan's work include CRISPR and Genetic Engineering (19 papers), Genetically Modified Organisms Research (12 papers) and Insect Resistance and Genetics (8 papers). Aihu Pan is often cited by papers focused on CRISPR and Genetic Engineering (19 papers), Genetically Modified Organisms Research (12 papers) and Insect Resistance and Genetics (8 papers). Aihu Pan collaborates with scholars based in China, United States and Czechia. Aihu Pan's co-authors include Dabing Zhang, Litao Yang, Jianxiu Chen, Changsong Yin, Chengmei Zhang, Kewei Zhang, Xueming Tang, Zhili Liu, Jinchao Guo and Dabing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Aihu Pan

39 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aihu Pan China 21 782 664 134 102 89 40 1.0k
Helmut Junge Germany 11 681 0.9× 1.2k 1.8× 84 0.6× 128 1.3× 227 2.6× 23 1.6k
Mylène Durand‐Tardif France 12 681 0.9× 1.3k 1.9× 113 0.8× 192 1.9× 90 1.0× 17 1.5k
Emilia López‐Solanilla Spain 27 563 0.7× 1.3k 1.9× 95 0.7× 103 1.0× 124 1.4× 45 1.7k
Andres Mäe Estonia 18 360 0.5× 645 1.0× 101 0.8× 45 0.4× 58 0.7× 34 885
Sanjeev Kumar India 17 316 0.4× 564 0.8× 223 1.7× 58 0.6× 19 0.2× 119 988
Humberto Josué de Oliveira Ramos Brazil 17 335 0.4× 591 0.9× 46 0.3× 64 0.6× 51 0.6× 69 898
Lea Atanasova Austria 21 581 0.7× 856 1.3× 49 0.4× 125 1.2× 47 0.5× 34 1.3k
Carolee T. Bull United States 22 483 0.6× 1.8k 2.7× 100 0.7× 30 0.3× 285 3.2× 100 2.2k
Elizabeth A. B. Emmert United States 7 282 0.4× 451 0.7× 37 0.3× 42 0.4× 77 0.9× 9 749
Clemencia M. Rojas United States 19 652 0.8× 1.3k 2.0× 51 0.4× 70 0.7× 57 0.6× 30 1.6k

Countries citing papers authored by Aihu Pan

Since Specialization
Citations

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

Fields of papers citing papers by Aihu Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aihu Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Aihu Pan. A scholar is included among the top collaborators of Aihu Pan 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 Aihu Pan. Aihu Pan 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.
Li, Peng, Luyao Wang, Yujie Li, et al.. (2023). Combined metagenomic and metabolomic analyses reveal that Bt rice planting alters soil C-N metabolism. SHILAP Revista de lepidopterología. 3(1). 4–4. 30 indexed citations
2.
Ge, Lei, Lili Song, Luyao Wang, et al.. (2023). Evaluating response mechanisms of soil microbiomes and metabolomes to Bt toxin additions. Journal of Hazardous Materials. 448. 130904–130904. 8 indexed citations
3.
Jiang, Wei, Lan Bai, Junwei Jia, et al.. (2023). A Rapid and Visual Method for Nucleic Acid Detection of Escherichia coli O157:H7 Based on CRISPR/Cas12a-PMNT. Foods. 12(2). 236–236. 10 indexed citations
4.
Li, Yujie, Cui Wang, Lei Ge, et al.. (2022). Environmental Behaviors of Bacillus thuringiensis (Bt) Insecticidal Proteins and Their Effects on Microbial Ecology. Plants. 11(9). 1212–1212. 36 indexed citations
5.
Li, Shuangxi, Yujie Li, Cong Hu, et al.. (2021). Stochastic processes drive bacterial and fungal community assembly in sustainable intensive agricultural soils of Shanghai, China. The Science of The Total Environment. 778. 146021–146021. 41 indexed citations
6.
Wang, Zibo, Cong Hu, Wei Jiang, et al.. (2020). Production and characterization of the 13C/15N single‐labeled insecticidal protein Cry1Ab/Ac using recombinant Escherichia coli. MicrobiologyOpen. 9(11). e1125–e1125. 4 indexed citations
7.
Li, Peng, et al.. (2018). A Qualitative and Quantitative PCR Detection Method for Disease-resistant Genetically Modified Rice M12 and Its Derivates. ACTA AGRONOMICA SINICA. 44(7). 949–955. 1 indexed citations
8.
Li, Peng, et al.. (2018). Cultivation of Drought-Tolerant and Insect-Resistant Rice Affects Soil Bacterial, but Not Fungal, Abundances and Community Structures. Frontiers in Microbiology. 9. 1390–1390. 25 indexed citations
9.
Li, Peng, Yong Xue, Jialiang Shi, et al.. (2018). The response of dominant and rare taxa for fungal diversity within different root environments to the cultivation of Bt and conventional cotton varieties. Microbiome. 6(1). 184–184. 27 indexed citations
10.
Li, Peng, Yongchun Li, Xianqing Zheng, et al.. (2017). Rice straw decomposition affects diversity and dynamics of soil fungal community, but not bacteria. Journal of Soils and Sediments. 18(1). 248–258. 34 indexed citations
11.
12.
Le, Huangying, Aihu Pan, Junfeng Xu, et al.. (2015). Collaborative trial for the validation of event-specific PCR detection methods of genetically modified papaya Huanong No.1. Food Chemistry. 194. 20–25. 10 indexed citations
13.
Li, Peng, et al.. (2013). Identification and Quantification of Genetically Modified Moonshade Carnation Lines Using Conventional and TaqMan Real-Time Polymerase Chain Reaction Methods. Applied Biochemistry and Biotechnology. 170(5). 1151–1162. 3 indexed citations
14.
Li, Peng, et al.. (2009). Cloning, expression and immunological identification of F3'5'H gene in transgenic carnation.. Chih Wu Sheng Li Hsueh T'ung Hsun. 46(2). 205–209.
15.
Duan, Ke, et al.. (2008). AtCopeg1, the unique gene originated from AtCopia95 retrotransposon family, is sensitive to external hormones and abiotic stresses. Plant Cell Reports. 27(6). 1065–1073. 19 indexed citations
16.
Liang, Wanqi, Yahong Huang, Xinghong Yang, et al.. (2006). Oral immunization of mice with plant-derived fimbrial adhesin FaeG induces systemic and mucosal K88ad enterotoxigenicEscherichia coli-specific immune responses. FEMS Immunology & Medical Microbiology. 46(3). 393–399. 12 indexed citations
17.
Huang, Yahong, Wanqi Liang, Yujiong Wang, et al.. (2005). Immunogenicity of the Epitope of the Foot-and-Mouth Disease Virus Fused With a Hepatitis B Core Protein as Expressed in Transgenic Tobacco. Viral Immunology. 18(4). 668–677. 25 indexed citations
18.
Yang, Litao, Aihu Pan, Kewei Zhang, et al.. (2005). Qualitative and Quantitative PCR Methods for Event-specific Detection of Genetically Modified Cotton Mon1445 and Mon531. Transgenic Research. 14(6). 817–831. 62 indexed citations
19.
20.
Pan, Aihu, et al.. (2002). Senescence delay characterization of transgenic brassica chinensis L. containing an anti-senescence chimeric gene SAG12-IPT. 28(5). 379–384. 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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