Xiaozeng Yang

1.8k total citations
45 papers, 1.3k citations indexed

About

Xiaozeng Yang is a scholar working on Plant Science, Molecular Biology and Cancer Research. According to data from OpenAlex, Xiaozeng Yang has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Plant Science, 29 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Xiaozeng Yang's work include Plant Molecular Biology Research (24 papers), Chromosomal and Genetic Variations (16 papers) and Genomics and Phylogenetic Studies (10 papers). Xiaozeng Yang is often cited by papers focused on Plant Molecular Biology Research (24 papers), Chromosomal and Genetic Variations (16 papers) and Genomics and Phylogenetic Studies (10 papers). Xiaozeng Yang collaborates with scholars based in China, United States and Germany. Xiaozeng Yang's co-authors include Lei Li, Lei Li, Huiyong Zhang, Zheng Kuang, Xiangfeng Wang, Hang He, Xuncheng Wang, Xing Wang Deng, Yongxin Zhao and Zhonglong Guo and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaozeng Yang

43 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaozeng Yang China 19 1.1k 819 152 50 50 45 1.3k
Jian Han China 16 791 0.7× 635 0.8× 58 0.4× 14 0.3× 63 1.3× 42 1.0k
Andrzej Pacak Poland 18 1.0k 1.0× 601 0.7× 80 0.5× 40 0.8× 27 0.5× 43 1.2k
Chaobo Tong China 21 839 0.8× 663 0.8× 65 0.4× 12 0.2× 115 2.3× 52 1.1k
Dawid Bielewicz Poland 17 1.1k 1.0× 806 1.0× 111 0.7× 14 0.3× 23 0.5× 29 1.3k
Zhihui Shan China 17 889 0.8× 509 0.6× 43 0.3× 15 0.3× 43 0.9× 41 1.1k
Yi Su China 16 504 0.5× 286 0.3× 37 0.2× 18 0.4× 38 0.8× 46 775
Fei Zhang China 16 801 0.8× 437 0.5× 29 0.2× 16 0.3× 37 0.7× 37 982
Lingfei Shangguan China 22 1.2k 1.2× 874 1.1× 27 0.2× 21 0.4× 82 1.6× 68 1.5k
Xiaohong Zhu China 18 1.5k 1.4× 1.0k 1.2× 43 0.3× 12 0.2× 33 0.7× 22 1.8k

Countries citing papers authored by Xiaozeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozeng Yang. A scholar is included among the top collaborators of Xiaozeng Yang 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 Xiaozeng Yang. Xiaozeng Yang 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.
He, Hao, Fei Shen, Kang He, et al.. (2025). Chromosome-level genome assembly of Monolepta hieroglyphica, two-spotted leaf beetle (Coleoptera: Chrysomelidae). Scientific Data. 12(1). 1–1. 1 indexed citations
2.
Wei, Jun-Rong, et al.. (2024). AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks. Plants. 13(22). 3118–3118. 7 indexed citations
3.
4.
Guo, Zhonglong, Qi Wang, Yawen Bai, et al.. (2024). ANAgdb: a multi-omics and taxonomy database for ANA-grade. BMC Plant Biology. 24(1). 882–882.
5.
Yu, S.K., Jiangchuan Fan, Xianju Lu, et al.. (2023). Deep learning models based on hyperspectral data and time-series phenotypes for predicting quality attributes in lettuces under water stress. Computers and Electronics in Agriculture. 211. 108034–108034. 27 indexed citations
6.
Shen, Fei, et al.. (2023). Insights into the convergent evolution of fructan biosynthesis in angiosperms from the highly characteristic chicory genome. New Phytologist. 238(3). 1245–1262. 9 indexed citations
7.
Shen, Fei, Tian‐Gang Gao, Junna He, et al.. (2023). Comparative genomics reveals a unique nitrogen-carbon balance system in Asteraceae. Nature Communications. 14(1). 21 indexed citations
8.
Guo, Zhonglong, Zheng Kuang, Yihan Tao, et al.. (2022). Miniature Inverted-repeat Transposable Elements Drive Rapid MicroRNA Diversification in Angiosperms. Molecular Biology and Evolution. 39(11). 22 indexed citations
9.
Zhang, Haolin, Hailong Wang, Guofang Xing, et al.. (2022). The Construction and Exploration of a Comprehensive MicroRNA Centered Regulatory Network in Foxtail Millet (Setaria italica L.). Frontiers in Plant Science. 13. 848474–848474. 7 indexed citations
10.
Yin, Xiaochang, Francisco J. Romero–Campero, Peng Yan, et al.. (2021). H2AK121ub in Arabidopsis associates with a less accessible chromatin state at transcriptional regulation hotspots. Nature Communications. 12(1). 315–315. 48 indexed citations
11.
Yang, Jing, et al.. (2020). Establishment of in vitro culture system for Codonopsis pilosula transgenic hairy roots. 3 Biotech. 10(3). 137–137. 24 indexed citations
12.
Wang, Ying, Zheng Kuang, Lei Li, & Xiaozeng Yang. (2020). A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants. Journal of Visualized Experiments. 2 indexed citations
13.
Fromm, Bastian, Andreas Keller, Xiaozeng Yang, et al.. (2020). Quo vadis microRNAs?. Trends in Genetics. 36(7). 461–463. 22 indexed citations
14.
Sidorenko, Lyudmila, Tzuu‐fen Lee, William A. Moskal, et al.. (2017). GC-rich coding sequences reduce transposon-like, small RNA-mediated transgene silencing. Nature Plants. 3(11). 875–884. 31 indexed citations
15.
Su, Chun, Xiaozeng Yang, Shiqing Gao, et al.. (2014). Identification and characterization of a subset of microRNAs in wheat ( Triticum aestivum L.). Genomics. 103(4). 298–307. 20 indexed citations
16.
Aryal, Rishi, Xiaozeng Yang, Qingyi Yu, et al.. (2012). Asymmetric purine-pyrimidine distribution in cellular small RNA population of papaya. BMC Genomics. 13(1). 682–682. 18 indexed citations
17.
Yang, Xiaozeng, Huiyong Zhang, & Lei Li. (2012). Alternative mRNA processing increases the complexity of microRNA‐based gene regulation in Arabidopsis. The Plant Journal. 70(3). 421–431. 61 indexed citations
18.
Yang, Xiaozeng, Huiyong Zhang, & Lei Li. (2011). Global analysis of gene-level microRNA expression in Arabidopsis using deep sequencing data. Genomics. 98(1). 40–46. 32 indexed citations
19.
He, Hang, Huiyong Zhang, Xiangfeng Wang, et al.. (2010). Development of a versatile, target-oriented tiling microarray assay for measuring allele-specific gene expression. Genomics. 96(5). 308–315. 2 indexed citations
20.
Zhang, Huiyong, Hang He, Xuncheng Wang, et al.. (2010). Genome‐wide mapping of the HY5‐mediated genenetworks in Arabidopsis that involve both transcriptional and post‐transcriptional regulation. The Plant Journal. 65(3). 346–358. 266 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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