Jiazhong Guo

2.1k total citations
92 papers, 1.3k citations indexed

About

Jiazhong Guo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jiazhong Guo has authored 92 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 41 papers in Cancer Research and 24 papers in Genetics. Recurrent topics in Jiazhong Guo's work include Cancer-related molecular mechanisms research (33 papers), RNA Research and Splicing (22 papers) and Genetic and phenotypic traits in livestock (21 papers). Jiazhong Guo is often cited by papers focused on Cancer-related molecular mechanisms research (33 papers), RNA Research and Splicing (22 papers) and Genetic and phenotypic traits in livestock (21 papers). Jiazhong Guo collaborates with scholars based in China, United States and Uruguay. Jiazhong Guo's co-authors include Hongping Zhang, Linjie Wang, Tao Zhong, Li Li, Siyuan Zhan, Jiaxue Cao, Wei Zhao, Tianzeng Song, Dinghui Dai and Örjan Carlborg and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Jiazhong Guo

86 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiazhong Guo China 19 623 558 461 177 162 92 1.3k
Chunnian Liang China 17 542 0.9× 334 0.6× 575 1.2× 200 1.1× 108 0.7× 146 1.2k
Jincheng Zhong China 18 537 0.9× 292 0.5× 401 0.9× 145 0.8× 86 0.5× 86 1.0k
Anan Jiang China 23 809 1.3× 691 1.2× 486 1.1× 62 0.4× 190 1.2× 79 1.5k
Pengjia Bao China 17 560 0.9× 320 0.6× 537 1.2× 202 1.1× 83 0.5× 164 1.3k
Xianbo Jia China 17 459 0.7× 302 0.5× 164 0.4× 125 0.7× 167 1.0× 101 952
Aline Silva Mello César Brazil 24 527 0.8× 378 0.7× 849 1.8× 175 1.0× 160 1.0× 74 1.4k
Minggang Lei China 21 851 1.4× 444 0.8× 499 1.1× 88 0.5× 149 0.9× 94 1.5k
Jiang Hu China 19 567 0.9× 327 0.6× 332 0.7× 211 1.2× 98 0.6× 110 1.2k
Lixin Du China 23 627 1.0× 532 1.0× 1.1k 2.5× 160 0.9× 75 0.5× 97 1.7k
Dajeong Lim South Korea 24 405 0.7× 425 0.8× 1.0k 2.3× 150 0.8× 87 0.5× 129 1.5k

Countries citing papers authored by Jiazhong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jiazhong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiazhong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jiazhong Guo. A scholar is included among the top collaborators of Jiazhong Guo 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 Jiazhong Guo. Jiazhong Guo 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.
Zhan, Siyuan, Jing Luo, Guangyao Li, et al.. (2025). Whole-genome resequencing reveals genetic diversity and selection signatures of Tongjiang and five goat breeds. Frontiers in Veterinary Science. 12. 1559764–1559764.
2.
Jiang, Tingting, Siyuan Zhan, Tao Zhong, et al.. (2025). Identification of a distal enhancer of Ucp1 essential for thermogenesis and mitochondrial function in brown fat. Communications Biology. 8(1). 31–31. 1 indexed citations
3.
Zhan, Siyuan, Wei Zhao, Tao Zhong, et al.. (2024). Role of circPAPD7 in regulating proliferation and differentiation of goat skeletal muscle satellite cells. Genomics. 116(5). 110936–110936. 2 indexed citations
4.
Zhao, Zihao, Dinghui Dai, Siyuan Zhan, et al.. (2024). Fat Mass- and Obesity-Associated Protein (FTO) Promotes the Proliferation of Goat Skeletal Muscle Satellite Cells by Stabilizing DAG1 mRNA in an IGF2BP1-Related m6A Manner. International Journal of Molecular Sciences. 25(18). 9804–9804. 1 indexed citations
5.
Guo, Jiazhong, et al.. (2024). Whole-Genome Resequencing Reveals Genetic Diversity and Wool Trait-Related Genes in Liangshan Semi-Fine-Wool Sheep. Animals. 14(3). 444–444. 9 indexed citations
6.
Xu, Xiaoli, Siyuan Zhan, Yuan Chen, et al.. (2024). Global A-to-I RNA editing during myogenic differentiation of goat MuSCs. Frontiers in Veterinary Science. 11. 1439029–1439029.
7.
Chen, Shu‐Heng, Yu Chen, Jiazhong Guo, et al.. (2024). An Identification of Functional Genetic Variants in B4GALNT2 Gene and Their Association with Growth Traits in Goats. Genes. 15(3). 330–330. 2 indexed citations
8.
9.
Xu, Xiaoli, Siyuan Zhan, Jiaxue Cao, et al.. (2024). Transcriptomic and Metabolomic Analyses Reveal Molecular Regulatory Networks for Pigmentation Deposition in Sheep. International Journal of Molecular Sciences. 25(15). 8248–8248. 5 indexed citations
10.
11.
Liu, Xin, Tingting Jiang, Siyuan Zhan, et al.. (2023). LncDGAT2 is a novel positive regulator of the goat adipocyte thermogenic gene program. International Journal of Biological Macromolecules. 245. 125465–125465. 3 indexed citations
12.
Yang, Chen‐Yu, Xinyi Zhou, Yanan Xue, et al.. (2023). Transcriptome Analysis Reveals the Profile of Long Non-Coding RNAs during Myogenic Differentiation in Goats. International Journal of Molecular Sciences. 24(7). 6370–6370. 2 indexed citations
13.
Tang, Jing, Xin Liu, Tingting Jiang, et al.. (2023). A Novel LncRNA MSTRG.310246.1 Promotes Differentiation and Thermogenesis in Goat Brown Adipocytes. Genes. 14(4). 833–833. 3 indexed citations
14.
He, Kuo, Liulan Zhao, Zihao Yuan, et al.. (2022). Chromosome-level genome assembly of largemouth bass (Micropterus salmoides) using PacBio and Hi-C technologies. Scientific Data. 9(1). 482–482. 14 indexed citations
15.
Wang, Yan, Xujia Zhang, Siyuan Zhan, et al.. (2021). Integrated application of metabolomics and RNA‐seq reveals thermogenic regulation in goat brown adipose tissues. The FASEB Journal. 35(9). e21868–e21868. 20 indexed citations
16.
Wang, Linjie, Xueying Li, Zhe Chao, et al.. (2019). Transcriptional Regulation of NAMPT Gene by Glycogen Synthase Kinase 3β in Goat Adipocytes. DNA and Cell Biology. 38(3). 229–235. 2 indexed citations
17.
Liu, Haifeng, Huan Li, Long Jin, et al.. (2018). Long Noncoding RNA GAS5 Suppresses 3T3-L1 Cells Adipogenesis Through miR-21a-5p/PTEN Signal Pathway. DNA and Cell Biology. 37(9). 767–777. 31 indexed citations
18.
Zhao, Wei, Li Chen, Tao Zhong, et al.. (2018). The differential proliferation and differentiation ability of skeletal muscle satellite cell in Boer and Nanjiang brown goats. Small Ruminant Research. 169. 99–107. 18 indexed citations
19.
Li, Guilin, Lili Niu, Haifeng Liu, & Jiazhong Guo. (2015). [Structure and function of insulin-like growth factor acid-labile subunits in mammalian homologues].. PubMed. 37(12). 1185–93. 3 indexed citations
20.
Chen, Ling, Xiaolin Liu, Zhixiong Li, et al.. (2014). Expression differences of miRNAs and genes on NF-κB pathway between the healthy and the mastitis Chinese Holstein cows. Gene. 545(1). 117–125. 33 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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