Yaojing Yue

1.5k total citations
49 papers, 566 citations indexed

About

Yaojing Yue is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Yaojing Yue has authored 49 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 16 papers in Molecular Biology and 16 papers in Cancer Research. Recurrent topics in Yaojing Yue's work include Genetic and phenotypic traits in livestock (23 papers), Cancer-related molecular mechanisms research (16 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Yaojing Yue is often cited by papers focused on Genetic and phenotypic traits in livestock (23 papers), Cancer-related molecular mechanisms research (16 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Yaojing Yue collaborates with scholars based in China, Kenya and Estonia. Yaojing Yue's co-authors include Bohui Yang, Jianbin Liu, Zengkui Lu, Tingting Guo, Chune Niu, Xiaoping Sun, Tingting Guo, Chao Yuan, Jianye Li and Jian Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yaojing Yue

46 papers receiving 551 citations

Peers

Yaojing Yue

GENET

ASZ

ACS

Bohui Yang China

Zengkui Lu China

Shouzhi Wang China

Zhuqing Zheng China

Rongqing Geng China

Kechuan Tian China

Jinwang Liu China

Jingting Shu China

Ramesh Kumar Vijh India

Bizhi Huang China

Bohui Yang China

Yaojing Yue

399 ×1.2

GENET

237 ×1.3

244 ×1.5

107 ×1.1

ASZ

74 ×1.0

ACS

Citations per year, relative to Yaojing Yue Yaojing Yue (= 1×) peers Bohui Yang

Countries citing papers authored by Yaojing Yue

Since Specialization

Citations

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

Fields of papers citing papers by Yaojing Yue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaojing Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Yaojing Yue. A scholar is included among the top collaborators of Yaojing Yue 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 Yaojing Yue. Yaojing Yue 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

Lu, Zengkui, Rui Zhang, Shengguo Zhao, et al.. (2025). Comprehensive analysis of the transcriptome-wide m6A Methylome in sheep testicular development. Genomics. 117(2). 111005–111005. 2 indexed citations

An, Xuejiao, et al.. (2025). Identification and profiling of microRNAs during sheep’s testicular development. Frontiers in Veterinary Science. 12. 1538990–1538990. 1 indexed citations

Xi, Jinwen, et al.. (2025). A global trust-based blockchain lightweight consensus mechanism. Blockchain Research and Applications. 7(1). 100322–100322.

Yue, Yaojing, et al.. (2025). MPG-SwinUMamba: High-Precision Segmentation and Automated Measurement of Eye Muscle Area in Live Sheep Based on Deep Learning. Animals. 15(24). 3509–3509.

Zhang, Dan, et al.. (2024). DIA-Based Proteomic Analysis Reveals MYOZ2 as a Key Protein Affecting Muscle Growth and Development in Hybrid Sheep. International Journal of Molecular Sciences. 25(5). 2975–2975. 3 indexed citations

Zhao, Shengguo, Rui Zhang, Zengkui Lu, et al.. (2024). Transcriptomic Study of Different Stages of Development in the Testis of Sheep. Animals. 14(19). 2767–2767.

He, Xuedan, Yi Wu, Jianye Li, et al.. (2024). Single-Cell Transcriptome Sequence Profiling on the Morphogenesis of Secondary Hair Follicles in Ordos Fine-Wool Sheep. International Journal of Molecular Sciences. 25(1). 584–584. 4 indexed citations

Li, Jianye, Haifeng Wang, Rui Zhang, et al.. (2023). Genomic Selection for Live Weight in the 14th Month in Alpine Merino Sheep Combining GWAS Information. Animals. 13(22). 3516–3516. 16 indexed citations

Lu, Zengkui, Chao Yuan, Jianye Li, et al.. (2022). Comprehensive Analysis of Long Non-coding RNA and mRNA Transcriptomes Related to Hypoxia Adaptation in Tibetan Sheep. Frontiers in Veterinary Science. 8. 801278–801278. 7 indexed citations

10.

Lu, Zengkui, Jianye Li, Bin Xi, et al.. (2022). Evaluation of Mutton Quality Characteristics of Dongxiang Tribute Sheep Based on Membership Function and Gas Chromatography and Ion Mobility Spectrometry. Frontiers in Nutrition. 9. 852399–852399. 30 indexed citations

11.

Yue, Yaojing, Jianye Li, Jianbin Liu, et al.. (2022). Transcriptome-metabolome analysis reveals how sires affect meat quality in hybrid sheep populations. Frontiers in Nutrition. 9. 967985–967985. 26 indexed citations

12.

Guo, Tingting, Hongchang Zhao, Chao Yuan, et al.. (2021). Selective Sweeps Uncovering the Genetic Basis of Horn and Adaptability Traits on Fine-Wool Sheep in China. Frontiers in Genetics. 12. 604235–604235. 8 indexed citations

13.

Yuan, Chao, Zengkui Lu, Tingting Guo, et al.. (2021). A global analysis of CNVs in Chinese indigenous fine-wool sheep populations using whole-genome resequencing. BMC Genomics. 22(1). 78–78. 25 indexed citations

14.

Liu, Jianbin, Chao Yuan, Tingting Guo, et al.. (2020). Genetic signatures of high-altitude adaptation and geographic distribution in Tibetan sheep. Scientific Reports. 10(1). 18332–18332. 20 indexed citations

15.

Guo, Tingting, Jilong Han, Chao Yuan, et al.. (2020). Comparative proteomics reveals genetic mechanisms underlying secondary hair follicle development in fine wool sheep during the fetal stage. Journal of Proteomics. 223. 103827–103827. 11 indexed citations

16.

Zhu, Shaohua, Hongchang Zhao, Mei Han, et al.. (2020). Genomic Prediction of Additive and Dominant Effects on Wool and Blood Traits in Alpine Merino Sheep. Frontiers in Veterinary Science. 7. 573692–573692. 2 indexed citations

17.

Liu, Jianbin, Xuezhi Ding, Yaojing Yue, et al.. (2016). Genetic Diversity and Phylogenetic Evolution of Tibetan Sheep Based on mtDNA D-Loop Sequences. PLoS ONE. 11(7). e0159308–e0159308. 50 indexed citations

18.

Yue, Yaojing, Mei Yang, Jilong Han, et al.. (2015). De novo assembly and characterization of skin transcriptome using RNAseq in sheep (Ovis aries). Genetics and Molecular Research. 14(1). 1371–1384. 12 indexed citations

19.

Yue, Yaojing, Tingting Guo, Jianbin Liu, et al.. (2015). Exploring Differentially Expressed Genes and Natural Antisense Transcripts in Sheep (Ovis aries) Skin with Different Wool Fiber Diameters by Digital Gene Expression Profiling. PLoS ONE. 10(6). e0129249–e0129249. 19 indexed citations

20.

Liu, Jianbin, Fan Wang, Lang Xia, et al.. (2013). Analysis of Geographic and Pairwise Distances among Chinese Cashmere Goat Populations. Asian-Australasian Journal of Animal Sciences. 26(3). 323–333. 7 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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