Jiuzhou Song

7.4k total citations
167 papers, 3.9k citations indexed

About

Jiuzhou Song is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jiuzhou Song has authored 167 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Molecular Biology, 77 papers in Genetics and 39 papers in Cancer Research. Recurrent topics in Jiuzhou Song's work include Animal Genetics and Reproduction (33 papers), Cancer-related molecular mechanisms research (31 papers) and Genetic and phenotypic traits in livestock (24 papers). Jiuzhou Song is often cited by papers focused on Animal Genetics and Reproduction (33 papers), Cancer-related molecular mechanisms research (31 papers) and Genetic and phenotypic traits in livestock (24 papers). Jiuzhou Song collaborates with scholars based in United States, China and Egypt. Jiuzhou Song's co-authors include George E. Liu, Tad S. Sonstegard, Derek M. Bickhart, Curtis P. Van Tassell, Yali Hou, Yulin Chen, Huanmin Zhang, Lingyang Xu, Fei Tian and Zhifa Yuan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Immunology.

In The Last Decade

Jiuzhou Song

160 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiuzhou Song United States 32 2.0k 1.8k 827 807 375 167 3.9k
Zhihua Jiang United States 35 1.9k 0.9× 1.8k 0.9× 795 1.0× 291 0.4× 943 2.5× 203 4.9k
Diyan Li China 33 2.3k 1.2× 727 0.4× 831 1.0× 335 0.4× 671 1.8× 253 4.1k
M. Schwerin Germany 35 1.1k 0.6× 2.2k 1.2× 542 0.7× 459 0.6× 464 1.2× 156 3.5k
Christopher K. Tuggle United States 38 1.6k 0.8× 1.9k 1.0× 590 0.7× 278 0.3× 826 2.2× 193 4.2k
David L. Adelson Australia 34 1.8k 0.9× 696 0.4× 535 0.6× 806 1.0× 89 0.2× 113 3.6k
Max F. Rothschild United States 38 1.1k 0.6× 3.1k 1.7× 705 0.9× 613 0.8× 1.8k 4.7× 153 5.4k
Lusheng Huang China 36 1.4k 0.7× 2.6k 1.4× 981 1.2× 289 0.4× 1.0k 2.7× 201 4.3k
Changxin Wu China 29 1.6k 0.8× 858 0.5× 447 0.5× 184 0.2× 530 1.4× 257 3.8k
Lei Liu China 28 1.5k 0.8× 970 0.5× 314 0.4× 280 0.3× 177 0.5× 159 2.9k
Jordi Estellé France 30 2.1k 1.1× 786 0.4× 508 0.6× 274 0.3× 701 1.9× 72 3.7k

Countries citing papers authored by Jiuzhou Song

Since Specialization
Citations

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

Fields of papers citing papers by Jiuzhou Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiuzhou Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jiuzhou Song. A scholar is included among the top collaborators of Jiuzhou Song 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 Jiuzhou Song. Jiuzhou Song 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.
Wu, Rui, Fen Fen Li, Shirong Wang, et al.. (2025). Epigenetic programming of estrogen receptor in adipocytes by high-fat diet regulates obesity-induced inflammation. JCI Insight. 10(19). 3 indexed citations
2.
Zhu, Xilin, Liqian Zhu, Guohong Chen, et al.. (2025). Generation of chicken induced pluripotent stem cells (iPSCs) from somatic cells using multi-lentiviral transduction and OAC2. Theriogenology. 247. 117567–117567.
3.
Liu, Dage, et al.. (2025). Functional validation to explore the protective role of miR-223 in Staphylococcus aureus-induced bovine mastitis. Journal of Animal Science and Biotechnology. 16(1). 34–34. 2 indexed citations
4.
Cai, Wentao, John B. Cole, Michael E. Goddard, et al.. (2025). Mammary gland multi-omics data reveals new genetic insights into milk production traits in dairy cattle. PLoS Genetics. 21(4). e1011675–e1011675. 1 indexed citations
5.
Jin, Kai, Bichun Li, Xilin Zhu, et al.. (2024). Induced Pluripotent Stem Cells in Birds: Opportunities and Challenges for Science and Agriculture. Veterinary Sciences. 11(12). 666–666. 1 indexed citations
6.
Zhang, Ke, Chong He, Yangbin Xu, et al.. (2021). Taxonomic and functional adaption of the gastrointestinal microbiome of goats kept at high altitude (4800 m) under intensive or extensive rearing conditions. FEMS Microbiology Ecology. 97(3). 15 indexed citations
7.
Zhang, Tianliu, Tianzhen Wang, Zezhao Wang, et al.. (2021). Integration of selection signatures and multi-trait GWAS reveals polygenic genetic architecture of carcass traits in beef cattle. Genomics. 113(5). 3325–3336. 26 indexed citations
8.
Jin, Kai, Qisheng Zuo, Jiuzhou Song, et al.. (2020). CYP19A1 (aromatase) dominates female gonadal differentiation in chicken ( Gallus gallus ) embryos sexual differentiation. Bioscience Reports. 40(10). 13 indexed citations
9.
Cai, Wentao, Lijun Shi, Dan Shen, et al.. (2020). Pan-RNA editing analysis of the bovine genome. RNA Biology. 18(3). 368–381. 5 indexed citations
10.
Xu, Lingyang, Yanghua He, Yi Ding, et al.. (2017). Characterization of Copy Number Variation’s Potential Role in Marek’s Disease. International Journal of Molecular Sciences. 18(5). 1020–1020. 9 indexed citations
11.
Du, Junli, Zhifa Yuan, Ziwei Ma, et al.. (2014). KEGG-PATH: Kyoto encyclopedia of genes and genomes-based pathway analysis using a path analysis model. Molecular BioSystems. 10(9). 2441–2447. 300 indexed citations
12.
13.
Jie, Hang, Ling Lian, Lujiang Qu, et al.. (2013). Differential expression of Toll-like receptor genes in lymphoid tissues between Marek's disease virus-infected and noninfected chickens. Poultry Science. 92(3). 645–654. 32 indexed citations
14.
Zhang, Ying, et al.. (2013). Aberrant promoter methylation of the CD4 gene in peripheral blood cells of mastitic dairy cows. Genetics and Molecular Research. 12(4). 6228–6239. 29 indexed citations
15.
He, Yanghua, Ying Yu, Yuan Zhang, et al.. (2012). Genome-Wide Bovine H3K27me3 Modifications and the Regulatory Effects on Genes Expressions in Peripheral Blood Lymphocytes. PLoS ONE. 7(6). e39094–e39094. 15 indexed citations
16.
Luo, Juan, Yingyan Yu, Shuang Chang, et al.. (2012). DNA Methylation Fluctuation Induced by Virus Infection Differs between MD-resistant and -susceptible Chickens. Frontiers in Genetics. 3. 20–20. 28 indexed citations
17.
Zheng, Jie, Fei Tian, Shenghui Cui, et al.. (2011). Differential Gene Expression by RamA in Ciprofloxacin-Resistant Salmonella Typhimurium. PLoS ONE. 6(7). e22161–e22161. 30 indexed citations
18.
Luo, Juan, Yingyan Yu, Huanmin Zhang, et al.. (2011). Down-regulation of promoter methylation level of CD4 gene after MDV infection in MD-susceptible chicken line. BMC Proceedings. 5(S4). S7–S7. 29 indexed citations
19.
Tian, Fei, Juan Luo, Huanmin Zhang, Shuang Chang, & Jiuzhou Song. (2011). MiRNA expression signatures induced by Marek's disease virus infection in chickens. Genomics. 99(3). 152–159. 57 indexed citations
20.
Jiang, Li, et al.. (2007). Isolation, chemical characteristics and immunity activity of an extracellular polysaccharide EPS I isolated from Antarctic bacterium Pseudoalteromonas sp.S-15-13. 高技术通讯：英文版. 13(2). 216–220. 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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