Weiyi He

1.9k total citations
57 papers, 936 citations indexed

About

Weiyi He is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Weiyi He has authored 57 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 27 papers in Insect Science and 17 papers in Plant Science. Recurrent topics in Weiyi He's work include Insect Resistance and Genetics (25 papers), Insect-Plant Interactions and Control (20 papers) and CRISPR and Genetic Engineering (12 papers). Weiyi He is often cited by papers focused on Insect Resistance and Genetics (25 papers), Insect-Plant Interactions and Control (20 papers) and CRISPR and Genetic Engineering (12 papers). Weiyi He collaborates with scholars based in China, Canada and Australia. Weiyi He's co-authors include Minsheng You, Liette Vasseur, Jianlin Bai, Guang Yang, Geoff M. Gurr, Xiaoli Ma, Wei Chen, Xiaofeng Xia, Simon W. Baxter and Hailan Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Hazardous Materials.

In The Last Decade

Weiyi He

54 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiyi He China 17 542 527 258 103 77 57 936
Huamei Xiao China 18 403 0.7× 542 1.0× 253 1.0× 106 1.0× 63 0.8× 31 916
V. Yu. Kryukov Russia 16 826 1.5× 452 0.9× 399 1.5× 140 1.4× 87 1.1× 69 1.0k
Jixing Xia China 15 544 1.0× 630 1.2× 348 1.3× 74 0.7× 65 0.8× 26 899
Chuanwang Cao China 18 475 0.9× 532 1.0× 340 1.3× 82 0.8× 61 0.8× 58 884
Guangchun Cao China 17 544 1.0× 482 0.9× 384 1.5× 59 0.6× 60 0.8× 34 759
Federica Calevro France 20 846 1.6× 319 0.6× 282 1.1× 238 2.3× 110 1.4× 58 1.2k
Yifan Zhai China 17 440 0.8× 316 0.6× 187 0.7× 148 1.4× 106 1.4× 67 833
Yiou Pan China 23 971 1.8× 913 1.7× 447 1.7× 59 0.6× 60 0.8× 47 1.2k
Quan‐You Yu China 17 559 1.0× 670 1.3× 227 0.9× 155 1.5× 58 0.8× 27 999
Bao‐Li Qiu China 21 869 1.6× 453 0.9× 557 2.2× 79 0.8× 110 1.4× 66 1.2k

Countries citing papers authored by Weiyi He

Since Specialization
Citations

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

Fields of papers citing papers by Weiyi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiyi He

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyi He. A scholar is included among the top collaborators of Weiyi He 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 Weiyi He. Weiyi He 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.
2.
Yin, Anyuan, et al.. (2024). CRISPR/Cas9-Based Genome Editing of Fall Armyworm (Spodoptera frugiperda): Progress and Prospects. Biomolecules. 14(9). 1074–1074. 5 indexed citations
3.
He, Weiyi, et al.. (2024). Integration of IoT in Small-Scale Aquaponics to Enhance Efficiency and Profitability: A Systematic Review. Animals. 14(17). 2555–2555. 4 indexed citations
4.
Ou, Danyun, et al.. (2023). Psychrobacter species enrichment as potential microplastic degrader and the putative biodegradation mechanism in Shenzhen Bay sediment, China. Journal of Hazardous Materials. 464. 132971–132971. 6 indexed citations
5.
Ooi, Jillian Lean Sim, Weilin Chen, Sze‐Wan Poong, et al.. (2023). Heterogeneity of Fish Taxonomic and Functional Diversity Evaluated by eDNA and Gillnet along a Mangrove–Seagrass–Coral Reef Continuum. Animals. 13(11). 1777–1777. 4 indexed citations
6.
Li, Junjie, Yan-Tao Zheng, Yunjia Li, et al.. (2023). Naringin ameliorates liver fibrosis in zebrafish by modulating IDO1-mediated lipid metabolism and inflammatory infiltration. Food & Function. 14(23). 10347–10361. 11 indexed citations
7.
8.
Wang, Qing, Liette Vasseur, Weiyi He, et al.. (2020). CRISPR/Cas9-induced vitellogenin knockout lead to incomplete embryonic development in Plutella xylostella. Insect Biochemistry and Molecular Biology. 123. 103406–103406. 21 indexed citations
9.
Xu, Xuejiao, Jie Yang, Tim Harvey‐Samuel, et al.. (2020). Identification and characterization of the vasa gene in the diamondback moth, Plutella xylostella. Insect Biochemistry and Molecular Biology. 122. 103371–103371. 8 indexed citations
10.
Chen, Yanting, Olivia Reynolds, Wenbin Chen, et al.. (2020). Alyssum (Lobularia maritima) selectively attracts and enhances the performance of Cotesia vestalis, a parasitoid of Plutella xylostella. Scientific Reports. 10(1). 6447–6447. 22 indexed citations
11.
Zhao, Qian, Weimin Zhong, Weiyi He, et al.. (2019). Genome-wide profiling of the alternative splicing provides insights into development in Plutella xylostella. BMC Genomics. 20(1). 463–463. 9 indexed citations
12.
Zhang, Lingling, Wei Chen, Jianlin Bai, et al.. (2019). Selection of reference genes for expression analysis of plant-derived microRNAs in Plutella xylostella using qRT-PCR and ddPCR. PLoS ONE. 14(8). e0220475–e0220475. 15 indexed citations
13.
Wang, Yue, Tingting Xu, Weiyi He, et al.. (2017). Genome-wide identification and characterization of putative lncRNAs in the diamondback moth, Plutella xylostella (L.). Genomics. 110(1). 35–42. 34 indexed citations
14.
Lü, Peng, Lei Wang, Yifan Yang, et al.. (2017). Transcriptome profiling of the Plutella xylostella (Lepidoptera: Plutellidae) ovary reveals genes involved in oogenesis. Gene. 637. 90–99. 20 indexed citations
15.
Lin, Lianyun, Juan Qin, Shengjie Dong, et al.. (2017). Crystal structure of ryanodine receptor N-terminal domain from Plutella xylostella reveals two potential species-specific insecticide-targeting sites. Insect Biochemistry and Molecular Biology. 92. 73–83. 33 indexed citations
16.
Lü, Peng, Nana Ren, Miao Xie, et al.. (2015). Generation-based life table analysis reveals manifold effects of inbreeding on the population fitness in Plutella xylostella. Scientific Reports. 5(1). 12749–12749. 10 indexed citations
17.
He, Weiyi, et al.. (2013). Identification of a β-galactosidase fruit pulp-specific promoter and its use in silencing constructs to reduce fruit softening in papaya. AFRICAN JOURNAL OF BIOTECHNOLOGY. 12(18). 2427–2436. 1 indexed citations
18.
Xia, Xiaofeng, Dandan Zheng, Huanzi Zhong, et al.. (2013). DNA Sequencing Reveals the Midgut Microbiota of Diamondback Moth, Plutella xylostella (L.) and a Possible Relationship with Insecticide Resistance. PLoS ONE. 8(7). e68852–e68852. 168 indexed citations
19.
He, Weiyi, Minsheng You, Liette Vasseur, et al.. (2012). Developmental and insecticide-resistant insights from the de novo assembled transcriptome of the diamondback moth, Plutella xylostella. Genomics. 99(3). 169–177. 72 indexed citations
20.
He, Weiyi, et al.. (2009). Otoliths - the biological CD-ROMs of fish.. Current Science. 97(8). 1121–1122. 3 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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