Qianjun Zhao

1.5k total citations
45 papers, 780 citations indexed

About

Qianjun Zhao is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Qianjun Zhao has authored 45 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 20 papers in Cancer Research and 13 papers in Molecular Biology. Recurrent topics in Qianjun Zhao's work include Genetic and phenotypic traits in livestock (18 papers), Cancer-related molecular mechanisms research (16 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Qianjun Zhao is often cited by papers focused on Genetic and phenotypic traits in livestock (18 papers), Cancer-related molecular mechanisms research (16 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Qianjun Zhao collaborates with scholars based in China, Kenya and Sudan. Qianjun Zhao's co-authors include Yuehui Ma, Lin Jiang, Yabin Pu, Weijun Guan, Xiaohong He, Xuexue Liu, Yuehui Ma, Kunzhe Dong, Jianlin Han and Xiaohong He and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Qianjun Zhao

43 papers receiving 770 citations

Peers

Qianjun Zhao

GENET

PHYSI

ASZ

Xuexue Liu China

Yabin Pu China

Dave Tang Australia

Sang‐Hyun Han South Korea

Shen Song China

Monika Bugno‐Poniewierska Poland

Vivi Hunnicke Nielsen Denmark

Anu Sironen Finland

Puntita Siengdee Thailand

Yufang Liu China

Xuexue Liu China

Qianjun Zhao

415 ×0.8

GENET

150 ×0.6

197 ×0.8

63 ×0.9

PHYSI

40 ×0.6

ASZ

Citations per year, relative to Qianjun Zhao Qianjun Zhao (= 1×) peers Xuexue Liu

Countries citing papers authored by Qianjun Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Qianjun Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianjun Zhao

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

Chen, Qian, Yabin Pu, Xiaohong He, et al.. (2025). Spatiotemporal coordination of 3D chromatin architecture and gene expression dynamics during ovine embryonic myogenesis. International Journal of Biological Macromolecules. 328(Pt 2). 147662–147662.

Li, Yefang, Xiaohong He, Qianjun Zhao, et al.. (2024). Whole-genome sequencing identifies functional genes for environmental adaptation in Chinese sheep. Journal of genetics and genomics. 51(11). 1278–1285. 3 indexed citations

Chen, Qian, Yanjun Zhang, Ruijun Wang, et al.. (2024). Genomic Inbreeding and Runs of Homozygosity Analysis of Cashmere Goat. Animals. 14(8). 1246–1246. 11 indexed citations

Zhong, Tao, Qianjun Zhao, Siyuan Zhan, et al.. (2024). Comparative whole-genome resequencing to uncover selection signatures linked to litter size in Hu Sheep and five other breeds. BMC Genomics. 25(1). 480–480. 16 indexed citations

Chen, Qian, Yabin Pu, Xiaohong He, et al.. (2023). Transcriptomic Analysis Reveals mRNA and Alternative Splicing Events in Ovine Skeletal Muscle Satellite Cells during Proliferation and Differentiation. Animals. 13(6). 1076–1076. 3 indexed citations

Chen, Qian, et al.. (2023). Comprehensive analysis of the circular RNA expression profile and circRNA–miRNA–mRNA network in the goat skin with divergent wool curvature. SHILAP Revista de lepidopterología. 1 indexed citations

Liu, Yue, et al.. (2022). Integration Analysis of Transcriptome and Proteome Reveal the Mechanisms of Goat Wool Bending. Frontiers in Cell and Developmental Biology. 10. 836913–836913. 13 indexed citations

Abied, Adam, Abulgasim Ahbara, Haile Berihulay, et al.. (2021). Genome Divergence and Dynamics in the Thin-Tailed Desert Sheep From Sudan. Frontiers in Genetics. 12. 659507–659507. 6 indexed citations

Zhang, Yingyue, Yue Liu, Adam Abied, et al.. (2021). Genome-wide comparative analyses reveal selection signatures underlying adaptation and production in Tibetan and Poll Dorset sheep. Scientific Reports. 11(1). 2466–2466. 39 indexed citations

10.

Abied, Adam, Lei Xu, Feng Xing, et al.. (2020). Genome-Wide Analysis Revealed Homozygosity and Demographic History of Five Chinese Sheep Breeds Adapted to Different Environments. Genes. 11(12). 1480–1480. 20 indexed citations

11.

Abied, Adam, Farhad Bordbar, Yabin Pu, et al.. (2020). Genomic Diversity, Population Structure, and Signature of Selection in Five Chinese Native Sheep Breeds Adapted to Extreme Environments. Genes. 11(5). 494–494. 32 indexed citations

12.

Song, Shen, Lin Jiang, Xiaohong He, et al.. (2018). Sequence Characterization of DSG3 Gene to Know Its Role in High-Altitude Hypoxia Adaptation in the Chinese Cashmere Goat. Frontiers in Genetics. 9. 553–553. 13 indexed citations

13.

Ma, Qing, Xuexue Liu, Jianfei Pan, et al.. (2017). Genome-wide detection of copy number variation in Chinese indigenous sheep using an ovine high-density 600 K SNP array. Scientific Reports. 7(1). 912–912. 51 indexed citations

14.

Yang, Min, Kunzhe Dong, Xiaofei Chen, et al.. (2017). Skin transcriptome reveals the intrinsic molecular mechanisms underlying hair follicle cycling in Cashmere goats under natural and shortened photoperiod conditions. Scientific Reports. 7(1). 13502–13502. 27 indexed citations

15.

Gorkhali, Neena Amatya, Kunzhe Dong, Min Yang, et al.. (2016). Genomic analysis identified a potential novel molecular mechanism for high-altitude adaptation in sheep at the Himalayas. Scientific Reports. 6(1). 29963–29963. 37 indexed citations

16.

Yang, Jinjuan, et al.. (2016). Isolation and biological characterization of tendon-derived stem cells from fetal bovine. In Vitro Cellular & Developmental Biology - Animal. 52(8). 846–856. 27 indexed citations

17.

Kang, Ye, Hongyang Wang, Weijun Guan, et al.. (2016). Expression profiling and functional characterization of miR-192 throughout sheep skeletal muscle development. Scientific Reports. 6(1). 30281–30281. 34 indexed citations

18.

Dong, Kunzhe, Na Yao, Yabin Pu, et al.. (2014). Genomic Scan Reveals Loci under Altitude Adaptation in Tibetan and Dahe Pigs. PLoS ONE. 9(10). e110520–e110520. 50 indexed citations

19.

Zhang, Ge, et al.. (2011). Six SNPs and a TTG indel in sheep desmoglein 4 gene are in complete linkage disequilibrium. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(36). 6850–6856. 2 indexed citations

20.

Wu, Yanping, Weijun Guan, Qianjun Zhao, et al.. (2009). A fine map for maternal lineage analysis by mitochondrial hypervariable region in 12 Chinese goat breeds. Animal Science Journal. 80(4). 372–380. 20 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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