Yuyun Xing

637 total citations
29 papers, 428 citations indexed

About

Yuyun Xing is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Yuyun Xing has authored 29 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 14 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Yuyun Xing's work include Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and CRISPR and Genetic Engineering (8 papers). Yuyun Xing is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers) and CRISPR and Genetic Engineering (8 papers). Yuyun Xing collaborates with scholars based in China, Germany and Australia. Yuyun Xing's co-authors include Jun Ren, Lusheng Huang, Yuanmei Guo, Junwu Ma, Jie Yang, Lusheng Huang, Zhiyan Zhang, Xianxian Liu, Fan Yin and Yanyu Duan and has published in prestigious journals such as PLoS ONE, Trends in biotechnology and PLoS Genetics.

In The Last Decade

Yuyun Xing

27 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuyun Xing China	10	317	113	105	82	43	29	428
Weihang Xiao China	11	186 0.6×	106 0.9×	130 1.2×	60 0.7×	22 0.5×	20	332
Tianzeng Song China	10	170 0.5×	112 1.0×	90 0.9×	39 0.5×	42 1.0×	42	350
Zongsheng Zhao China	13	125 0.4×	127 1.1×	111 1.1×	30 0.4×	26 0.6×	40	328
Anne Vaiman France	12	138 0.4×	212 1.9×	89 0.8×	18 0.2×	20 0.5×	20	365
Jianning He China	12	153 0.5×	137 1.2×	157 1.5×	29 0.4×	21 0.5×	33	351
Zhuang Xie China	13	209 0.7×	236 2.1×	103 1.0×	42 0.5×	71 1.7×	36	455
Jilong Han China	13	241 0.8×	120 1.1×	109 1.0×	38 0.5×	9 0.2×	32	367
Ramin Abdoli Iran	11	328 1.0×	97 0.9×	109 1.0×	44 0.5×	7 0.2×	21	396
Jianzhi Pan Japan	11	179 0.6×	369 3.3×	26 0.2×	42 0.5×	108 2.5×	36	516
Zonggang Luo China	7	68 0.2×	213 1.9×	234 2.2×	31 0.4×	44 1.0×	13	363

Countries citing papers authored by Yuyun Xing

Since Specialization

Citations

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

Fields of papers citing papers by Yuyun Xing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuyun Xing

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

All Works

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20 of 20 papers shown

Liu, Weiwei, Z. Peng, Xiaoguo Wang, et al.. (2025). Highly efficient prime editors for mammalian genome editing based on porcine retrovirus reverse transcriptase. Trends in biotechnology. 43(12). 3253–3278.

Li, Yueyue, Xiaoxiao Wang, Xuejun Wang, et al.. (2025). Linkage and association analysis to identify wheat pre-harvest sprouting resistance genetic regions and develop KASP markers. Molecular Breeding. 45(1). 11–11. 2 indexed citations

Li, Yueyue, Kaoping Song, Yuyun Xing, et al.. (2025). QTL analysis of spike traits and KASP marker validation for basal sterile spikelet number in wheat. BMC Plant Biology. 25(1). 458–458.

Liu, Weiwei, et al.. (2023). Highly Efficient A-to-G Editing in PFFs via Multiple ABEs. Genes. 14(4). 908–908. 1 indexed citations

Liu, Weiwei, et al.. (2023). Efficient delivery of a large-size Cas9-EGFP vector in porcine fetal fibroblasts using a Lonza 4D-Nucleofector system. BMC Biotechnology. 23(1). 29–29. 3 indexed citations

Gong, Huanfa, Weiwei Liu, Mingpeng Zhang, et al.. (2022). Evolutionary insights into porcine genomic structural variations based on a novel‐constructed dataset from 24 worldwide diverse populations. Evolutionary Applications. 15(8). 1264–1280. 5 indexed citations

Liu, Weiwei, et al.. (2022). Efficient Simultaneous Introduction of Premature Stop Codons in Three Tumor Suppressor Genes in PFFs via a Cytosine Base Editor. Genes. 13(5). 835–835. 2 indexed citations

Liu, Weiwei, et al.. (2022). <i>BMPR-IB</i> gene disruption causes severe limb deformities in pigs. 动物学研究. 43(3). 391–403. 3 indexed citations

Liu, Xianxian, Junjie Zhang, Xinwei Xiong, et al.. (2021). An Integrative Analysis of Transcriptome and GWAS Data to Identify Potential Candidate Genes Influencing Meat Quality Traits in Pigs. Frontiers in Genetics. 12. 748070–748070. 13 indexed citations

10.

Zhao, Xueyan, Yuyun Xing, Kai Jiang, et al.. (2018). A model of mucopolysaccharidosis type IIIB in pigs. Biology Open. 7(10). 9 indexed citations

11.

Duan, Yanyu, Hui Zhang, Zhen Zhang, et al.. (2018). VRTN is Required for the Development of Thoracic Vertebrae in Mammals. International Journal of Biological Sciences. 14(6). 667–681. 51 indexed citations

12.

Zhao, Xueyan, Pan Xu, Xiaofang He, et al.. (2015). Production of Transgenic Pigs with an Introduced Missense Mutation of the Bone Morphogenetic Protein Receptor Type IB Gene Related to Prolificacy. Asian-Australasian Journal of Animal Sciences. 29(7). 925–937. 7 indexed citations

13.

Brenig, Bertram, Yanyu Duan, Yuyun Xing, et al.. (2015). Porcine SOX9 Gene Expression Is Influenced by an 18bp Indel in the 5’-Untranslated Region. PLoS ONE. 10(10). e0139583–e0139583. 19 indexed citations

14.

Ma, Junwu, Jie Yang, Lisheng Zhou, et al.. (2014). A Splice Mutation in the PHKG1 Gene Causes High Glycogen Content and Low Meat Quality in Pig Skeletal Muscle. PLoS Genetics. 10(10). e1004710–e1004710. 96 indexed citations

15.

Yin, Fan, Yuyun Xing, Zhiyan Zhang, et al.. (2013). A Further Look at Porcine Chromosome 7 Reveals VRTN Variants Associated with Vertebral Number in Chinese and Western Pigs. PLoS ONE. 8(4). e62534–e62534. 65 indexed citations

16.

Ren, Jun, et al.. (2009). Quantitative trait loci for litter size and prenatal loss in a White Duroc × Chinese Erhualian resource population. Animal Genetics. 40(6). 963–966. 24 indexed citations

17.

Xing, Yuyun, Ming‐Wei Lin, Yan‐Bo Wu, et al.. (2008). Evaluations of Boar Gonad Development, Spermatogenesis with regard to Semen Characteristics, Libido and Serum Testosterone Levels based on large White Duroc × Chinese Erhualian Crossbred Boars. Reproduction in Domestic Animals. 44(6). 913–919. 27 indexed citations

18.

Xing, Yuyun, et al.. (2008). Radiation hybrid mapping of seven porcine calcium channel genes (CATSPER1–4 and CNGA1–3) associated with male fertility. Animal Genetics. 39(5). 573–574. 1 indexed citations

19.

Ren, Jun, Yuyun Xing, Yuanmei Guo, et al.. (2008). A genome scan for quantitative trait loci affecting male reproductive traits in a White Duroc × Chinese Erhualian resource population1. Journal of Animal Science. 87(1). 17–23. 26 indexed citations

20.

Ren, Jun, et al.. (2005). Assignment of the porcine acid labile subunit (ALS) gene to SSC16q23 by radiation hybrid mapping. Animal Genetics. 36(4). 362–363. 1 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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