Weixing Ye

501 total citations
10 papers, 252 citations indexed

About

Weixing Ye is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, Weixing Ye has authored 10 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Insect Science and 2 papers in Genetics. Recurrent topics in Weixing Ye's work include Insect Resistance and Genetics (8 papers), Bacillus and Francisella bacterial research (6 papers) and Insect and Pesticide Research (4 papers). Weixing Ye is often cited by papers focused on Insect Resistance and Genetics (8 papers), Bacillus and Francisella bacterial research (6 papers) and Insect and Pesticide Research (4 papers). Weixing Ye collaborates with scholars based in China, United Kingdom and United States. Weixing Ye's co-authors include Ming Sun, Donghai Peng, Lifang Ruan, Ziniu Yu, Lei Zhu, Neil Crickmore, Yingying Liu, Xiaohui Xu, Jinshui Zheng and Ce Geng and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Weixing Ye

10 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weixing Ye China 7 229 145 69 31 29 10 252
Susan O’Neil United Kingdom 3 259 1.1× 155 1.1× 65 0.9× 37 1.2× 43 1.5× 4 286
Abhishek Ojha India 10 162 0.7× 215 1.5× 105 1.5× 22 0.7× 42 1.4× 22 364
Sanjarbek Hudaiberdiev Italy 6 198 0.9× 20 0.1× 54 0.8× 55 1.8× 73 2.5× 9 232
Emmanuel Frachon France 10 484 2.1× 261 1.8× 109 1.6× 20 0.6× 36 1.2× 16 500
Ghislaine Menou France 7 277 1.2× 149 1.0× 88 1.3× 25 0.8× 42 1.4× 9 294
Alejandro García Spain 7 53 0.2× 99 0.7× 115 1.7× 8 0.3× 16 0.6× 15 201
Emmanuel Jouen France 10 84 0.4× 28 0.2× 357 5.2× 23 0.7× 11 0.4× 26 426
Angeles Cancino-Rodezno Mexico 8 256 1.1× 172 1.2× 102 1.5× 4 0.1× 9 0.3× 11 316
Jiamin Miao China 11 93 0.4× 15 0.1× 183 2.7× 19 0.6× 26 0.9× 13 271
Hossein Gouran United States 9 77 0.3× 56 0.4× 264 3.8× 10 0.3× 6 0.2× 10 311

Countries citing papers authored by Weixing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixing Ye

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

All Works

10 of 10 papers shown
1.
Liu, Hualin, et al.. (2021). BtToxin_Digger: a comprehensive and high-throughput pipeline for mining toxin protein genes from Bacillus thuringiensis. Bioinformatics. 38(1). 250–251. 24 indexed citations
2.
Pan, Fen, Hong Zhang, Xiaoyan Dong, et al.. (2018). Comparative genomic analysis of multidrug-resistant <em>Streptococcus pneumoniae</em> isolates. Infection and Drug Resistance. Volume 11. 659–670. 6 indexed citations
3.
Zhu, Lei, Donghai Peng, Weixing Ye, et al.. (2015). Genomic and transcriptomic insights into the efficient entomopathogenicity of Bacillus thuringiensis. Scientific Reports. 5(1). 14129–14129. 32 indexed citations
4.
Liu, Yingying, Weixing Ye, Jinshui Zheng, et al.. (2014). High-quality draft genome sequence of nematocidal Bacillus thuringiensis Sbt003. Standards in Genomic Sciences. 9(3). 1–10. 3 indexed citations
5.
Ye, Weixing, Lei Zhu, Yingying Liu, et al.. (2012). Mining New Crystal Protein Genes from Bacillus thuringiensis on the Basis of Mixed Plasmid-Enriched Genome Sequencing and a Computational Pipeline. Applied and Environmental Microbiology. 78(14). 4795–4801. 67 indexed citations
7.
Zhu, Yiguang, Hui Shang, Qian Zhu, et al.. (2011). Complete Genome Sequence of Bacillus thuringiensis Serovar finitimus Strain YBT-020. Journal of Bacteriology. 193(9). 2379–2380. 25 indexed citations
8.
Peng, Donghai, Xiaohui Xu, Weixing Ye, Ziniu Yu, & Ming Sun. (2009). Helicoverpa armigera cadherin fragment enhances Cry1Ac insecticidal activity by facilitating toxin-oligomer formation. Applied Microbiology and Biotechnology. 85(4). 1033–1040. 40 indexed citations
9.
Liu, Xiaojin, Shufang Zhu, Weixing Ye, et al.. (2008). Genetic characterization of two putative toxin-antitoxin systems on cryptic plasmids from Bacillus thuringiensis strain YBT-1520.. PubMed. 18(10). 1630–3. 5 indexed citations
10.
Zhou, Yi, et al.. (2005). Ethanol tolerance, yield of melanin, swarming motility and growth are correlated with the expression levels of aiiA gene in Bacillus thuringiensis. Enzyme and Microbial Technology. 38(7). 967–974. 8 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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