Yongju Zhao

2.0k total citations
128 papers, 1.4k citations indexed

About

Yongju Zhao is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Yongju Zhao has authored 128 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Genetics, 47 papers in Molecular Biology and 26 papers in Cancer Research. Recurrent topics in Yongju Zhao's work include Genetic and phenotypic traits in livestock (45 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Cancer-related molecular mechanisms research (20 papers). Yongju Zhao is often cited by papers focused on Genetic and phenotypic traits in livestock (45 papers), Genetic Mapping and Diversity in Plants and Animals (22 papers) and Cancer-related molecular mechanisms research (20 papers). Yongju Zhao collaborates with scholars based in China, United States and Egypt. Yongju Zhao's co-authors include Jianmin Liu, Yongfu Huang, Hongyan Zhao, Guang Ning, Man-yin Xu, Li‐hao Sun, E Guangxin, Lingbin Liu, Dejun Xu and Jiahua Zhang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.

In The Last Decade

Yongju Zhao

115 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongju Zhao China 21 546 497 198 153 144 128 1.4k
Sam Clark Australia 28 449 0.8× 1.5k 3.0× 173 0.9× 302 2.0× 76 0.5× 79 2.5k
Kristen E Govoni United States 25 507 0.9× 269 0.5× 105 0.5× 364 2.4× 63 0.4× 66 1.4k
Telma M.T. Zorn Brazil 24 489 0.9× 319 0.6× 93 0.5× 192 1.3× 63 0.4× 77 1.8k
Xiang‐Ding Chen China 20 677 1.2× 449 0.9× 167 0.8× 85 0.6× 139 1.0× 68 1.4k
Peter Chrenek Slovakia 23 508 0.9× 532 1.1× 107 0.5× 92 0.6× 19 0.1× 194 2.1k
Riaz Farookhi Canada 24 650 1.2× 400 0.8× 54 0.3× 205 1.3× 48 0.3× 58 2.0k
Robert W. Holdcraft United States 12 505 0.9× 460 0.9× 73 0.4× 228 1.5× 94 0.7× 19 1.5k
Kathy H. Graves United States 11 1.1k 2.0× 1.0k 2.1× 73 0.4× 344 2.2× 59 0.4× 16 2.3k
Christopher A. Price Canada 37 1.2k 2.1× 1.0k 2.1× 213 1.1× 251 1.6× 102 0.7× 161 3.6k
Miao Zhao China 17 371 0.7× 183 0.4× 147 0.7× 79 0.5× 18 0.1× 89 1.1k

Countries citing papers authored by Yongju Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Yongju Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongju Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Yongju Zhao. A scholar is included among the top collaborators of Yongju 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 Yongju Zhao. Yongju Zhao 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.
Zhu, Qingjun, et al.. (2025). Isoliquiritigenin Ameliorates High-Fat Diet-Induced Obesity in Mice by Activating Brown Adipose Tissue. International Journal of Molecular Sciences. 26(4). 1616–1616.
2.
Fang, Jun, et al.. (2025). Several variants on chromosome 10 are associated with coarse hair diameter in Dazu black goats (Capra hircus). Animal Genetics. 56(1). e13509–e13509. 1 indexed citations
3.
Xu, Naiyi, et al.. (2025). Population structure, selection signal and introgression of gamecocks revealed by whole genome sequencing. Journal of Animal Science and Biotechnology. 16(1). 22–22.
4.
Wang, Mingming, Yang Tian, Ru Wang, et al.. (2025). Ruminant methane mitigation: microbiological mechanisms and integrated strategies for sustainable livestock production in the context of climate change. Renewable and Sustainable Energy Reviews. 217. 115741–115741. 1 indexed citations
5.
Luo, Tingting, Haoran Liu, Jinyong Wang, et al.. (2024). Klrb1 Loss Promotes Chronic Hepatic Inflammation and Metabolic Dysregulation. Genes. 15(11). 1444–1444.
6.
Zhao, Shengnan, et al.. (2024). Caprine and Ovine Genomic Selection—Progress and Application. Animals. 14(18). 2659–2659. 2 indexed citations
7.
Yang, Peidong, Yuan Tang, Jinyong Wang, et al.. (2024). Identification of Olfactory Receptors Responding to Androstenone and the Key Structure Determinant in Domestic Pig. Current Issues in Molecular Biology. 47(1). 13–13. 1 indexed citations
8.
Huang, Deli, et al.. (2023). Association analysis of polymorphisms at GLRB , GRIA2 , and GASK1B genes with reproductive traits in Dazu Black Goats. Animal Biotechnology. 34(9). 4721–4729. 1 indexed citations
9.
10.
Zhao, Zhongquan, et al.. (2022). Genome-Wide Association Study of Body Conformation Traits by Whole Genome Sequencing in Dazu Black Goats. Animals. 12(5). 548–548. 18 indexed citations
11.
Gong, Ying, et al.. (2022). Investigation of mitochondrial DNA genetic diversity and phylogeny of goats worldwide. Journal of Integrative Agriculture. 21(6). 1830–1837. 3 indexed citations
12.
Gong, Ying, Ying Yuan, Chengli Liu, et al.. (2021). Comparative analysis of the genetic diversity of the neutral microsatellite loci and second exon of the goat MHC-DQB1 gene. Animal Biotechnology. 34(1). 85–92. 1 indexed citations
13.
Qiu, Xiaoyan, et al.. (2020). Effects of PXD101 and Embryo Aggregation on the In Vitro Development of Mouse Parthenogenetic Embryos. Cellular Reprogramming. 22(1). 14–21. 1 indexed citations
14.
Na, Risu, Xunping Jiang, Jiayuan Wu, et al.. (2020). Effect of a novel somatostatin-14 DNA vaccine fused to tPA signal peptide and CpG adjuvant on goat lactation and milk composition. Small Ruminant Research. 187. 106107–106107. 3 indexed citations
15.
Peng, Xiaoli, Kai Li, Xunping Jiang, et al.. (2018). Potent effect of KISS1-54 DNA vaccine compared with KISS1-10 DNA vaccine in inhibiting the fertility of female rats. Vaccine. 36(45). 6631–6639. 2 indexed citations
16.
Zhao, Yongju, Mingxing Chu, Qionghua Hong, et al.. (2016). Differential expression of Toll-like receptors in goat dominant and nondominant follicles. Genetics and Molecular Research. 15(4). 4 indexed citations
17.
Guan, Dailu, Zhongquan Zhao, Yongfu Huang, et al.. (2016). Scanning of selection signature provides a glimpse into important economic traits in goats (Capra hircus). Scientific Reports. 6(1). 36372–36372. 53 indexed citations
18.
Zhao, Yongju, et al.. (2014). Genetic diversity and molecular phylogeography of Chinese domestic goats by large-scale mitochondrial DNA analysis. Molecular Biology Reports. 41(6). 3695–3704. 19 indexed citations
19.
Jia, Huiying, et al.. (2009). Detection of the mutation of MEN1 gene in a pedigree with multiple endocrine neoplasia type 1. Zhonghua neifenmi daixie zazhi. 25(5). 478–481. 1 indexed citations
20.
Zhang, Yifei, Jie Hong, Weiqiong Gu, et al.. (2003). [Fasting serum free fatty acid, insulin sensitivity index and serum lipid levels in individuals with different body mass index and glucose tolerance].. PubMed. 42(11). 793–6.

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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