Liang Guo

4.1k total citations
98 papers, 3.1k citations indexed

About

Liang Guo is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Liang Guo has authored 98 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 31 papers in Physiology and 25 papers in Epidemiology. Recurrent topics in Liang Guo's work include Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers) and Liver Disease Diagnosis and Treatment (9 papers). Liang Guo is often cited by papers focused on Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers) and Liver Disease Diagnosis and Treatment (9 papers). Liang Guo collaborates with scholars based in China, United States and Canada. Liang Guo's co-authors include Qi-Qun Tang, Xi Li, Qi‐Qun Tang, Wan-Qiu Peng, Jieying Zhu, Baiyu Li, Reza Tabrizchi, Hai-Yan Huang, Min Chen and Yingying Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Liang Guo

86 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Guo China 34 1.5k 1.0k 1.0k 309 305 98 3.1k
Aiwei Yao‐Borengasser United States 23 1.2k 0.8× 1.3k 1.3× 1.3k 1.3× 223 0.7× 397 1.3× 32 3.0k
Weili Shen China 31 1.4k 1.0× 807 0.8× 736 0.7× 259 0.8× 154 0.5× 71 3.0k
Li Qiang United States 32 2.2k 1.5× 1.9k 1.8× 1.4k 1.4× 358 1.2× 275 0.9× 68 4.6k
Shannon M. Reilly United States 20 1.3k 0.9× 1.2k 1.1× 1.3k 1.2× 329 1.1× 193 0.6× 28 3.1k
Tae Woo Jung South Korea 32 1.1k 0.8× 812 0.8× 925 0.9× 148 0.5× 329 1.1× 111 2.7k
Jiqiu Wang China 25 1.5k 1.0× 1.0k 1.0× 613 0.6× 247 0.8× 129 0.4× 83 3.0k
Jurga Laurencikiene Sweden 34 1.4k 1.0× 1.6k 1.6× 1.3k 1.3× 524 1.7× 168 0.6× 71 3.5k
Shanmugam Muruganandan Canada 24 1.1k 0.7× 677 0.6× 1.0k 1.0× 171 0.6× 166 0.5× 38 3.4k
Xing Zeng China 24 1.0k 0.7× 858 0.8× 555 0.6× 240 0.8× 160 0.5× 90 2.4k
Gen‐ichi Atsumi Japan 20 1.8k 1.3× 610 0.6× 532 0.5× 437 1.4× 200 0.7× 43 3.0k

Countries citing papers authored by Liang Guo

Since Specialization
Citations

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

Fields of papers citing papers by Liang Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Guo. A scholar is included among the top collaborators of Liang 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 Liang Guo. Liang 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
2.
Guo, Liang, et al.. (2025). Mitochondrial DNA methylation: State-of-the-art in molecular mechanisms and disease implications. Journal of Advanced Research. 1 indexed citations
3.
Zhu, Jieying, et al.. (2025). Maternal exercise prevents metabolic disorders in offspring mice through SERPINA3C. Nature Metabolism. 7(2). 401–420. 2 indexed citations
4.
Yang, Hao, Jing Huang, Lihong Wang, et al.. (2025). Umbilical Cord‐Mesenchymal Stromal Cell‐Derived Extracellular Vesicles Target the Liver to Improve Neurovascular Health in Type 2 Diabetes With Non‐Alcoholic Fatty Liver Disease. Journal of Extracellular Vesicles. 14(7). e70125–e70125. 1 indexed citations
5.
Guo, Liang, et al.. (2025). The role and mechanism of m6A methylation in diabetic nephropathy. Life Sciences. 363. 123355–123355. 1 indexed citations
6.
Chen, Min, et al.. (2025). Exercise-induced adipokine Nrg4 alleviates MASLD by disrupting hepatic cGAS-STING signaling. Cell Reports. 44(2). 115251–115251. 10 indexed citations
7.
Li, Bing, Xiaoting Li, Wenhao Shen, et al.. (2024). A single nucleotide substitution in BnaC02.LBD6 promoter causes blade shape variation in Brassica napus. Journal of Integrative Agriculture. 25(3). 879–892.
8.
Chen, Min, et al.. (2023). Cdo1-Camkk2-AMPK axis confers the protective effects of exercise against NAFLD in mice. Nature Communications. 14(1). 8391–8391. 35 indexed citations
9.
Guo, Liang, et al.. (2023). Exercise‐regulated white adipocyte differentitation: An insight into its role and mechanism. Journal of Cellular Physiology. 238(8). 1670–1692. 6 indexed citations
10.
Zhang, Haixin, Ruwen Wang, Ruwen Wang, et al.. (2023). Lower serum magnesium concentration and higher 24-h urinary magnesium excretion despite higher dietary magnesium intake in athletes: a systematic review and meta-analysis. Food Science and Human Wellness. 12(5). 1471–1480. 7 indexed citations
11.
Guo, Liang, Rui Zhou, Qianjun He, et al.. (2023). Copper assisted sequence-specific chemical protein conjugation at a single backbone amide. Nature Communications. 14(1). 8063–8063. 5 indexed citations
12.
Li, Baiyu, Wan-Qiu Peng, Yang Liu, Liang Guo, & Qi‐Qun Tang. (2023). HIGD1A links SIRT1 activity to adipose browning by inhibiting the ROS/DNA damage pathway. Cell Reports. 42(7). 112731–112731. 24 indexed citations
13.
Zou, Ying, Yina Wang, Hong Ma, et al.. (2020). SCD1 promotes lipid mobilization in subcutaneous white adipose tissue. Journal of Lipid Research. 61(12). 1589–1604. 37 indexed citations
14.
Guo, Liang, Peng Zhang, Zhimin Chen, et al.. (2017). Hepatic neuregulin 4 signaling defines an endocrine checkpoint for steatosis-to-NASH progression. Journal of Clinical Investigation. 127(12). 4449–4461. 141 indexed citations
15.
Guo, Liang, Yuan Liu, Yang Liu, et al.. (2016). Acetylation of Mitochondrial Trifunctional Protein α-Subunit Enhances Its Stability To Promote Fatty Acid Oxidation and Is Decreased in Nonalcoholic Fatty Liver Disease. Molecular and Cellular Biology. 36(20). 2553–2567. 62 indexed citations
16.
Guo, Liang, Xi Li, & Qi-Qun Tang. (2014). Transcriptional Regulation of Adipocyte Differentiation: A Central Role for CCAAT/Enhancer-binding Protein (C/EBP) β. Journal of Biological Chemistry. 290(2). 755–761. 276 indexed citations
17.
Zhang, You-You, Xi Li, Shuwen Qian, et al.. (2011). Transcriptional activation of histone H4 by C/EBPβ during the mitotic clonal expansion of 3T3-L1 adipocyte differentiation. Molecular Biology of the Cell. 22(13). 2165–2174. 44 indexed citations
18.
Zhou, Lei, Jianhui Xie, Yuanyuan Ruan, et al.. (2010). Expression and purification of secreted recombinant hsp60 from eukaryotic cells. Protein Expression and Purification. 72(2). 179–183. 8 indexed citations
19.
Guo, Liang, Jianhui Xie, Yuanyuan Ruan, et al.. (2009). Characterization and immunostimulatory activity of a polysaccharide from the spores of Ganoderma lucidum. International Immunopharmacology. 9(10). 1175–1182. 101 indexed citations
20.
Li, Zengxia, Liang Guo, Liying Wang, et al.. (2007). MAGI-2 Inhibits cell migration and proliferation via PTEN in human hepatocarcinoma cells. Archives of Biochemistry and Biophysics. 467(1). 1–9. 53 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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