Yuanguo Wang

1.1k total citations
37 papers, 852 citations indexed

About

Yuanguo Wang is a scholar working on Molecular Biology, Neurology and Hepatology. According to data from OpenAlex, Yuanguo Wang has authored 37 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Neurology and 8 papers in Hepatology. Recurrent topics in Yuanguo Wang's work include Liver physiology and pathology (7 papers), Myasthenia Gravis and Thymoma (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Yuanguo Wang is often cited by papers focused on Liver physiology and pathology (7 papers), Myasthenia Gravis and Thymoma (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Yuanguo Wang collaborates with scholars based in China, United States and Israel. Yuanguo Wang's co-authors include Ningling Kang, S. Nahum Goldberg, Muneeb Ahmed, Gaurav Kumar, Vijay H. Shah, Kangsheng Tu, Daniel J. Tschumperlin, Zhikui Liu, Changwei Dou and Marwan Moussa and has published in prestigious journals such as Gastroenterology, Hepatology and Scientific Reports.

In The Last Decade

Yuanguo Wang

34 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuanguo Wang China 15 295 220 185 155 154 37 852
Gang Dong China 14 443 1.5× 168 0.8× 220 1.2× 232 1.5× 182 1.2× 24 1.0k
Yuemeng Jia United States 14 747 2.5× 167 0.8× 118 0.6× 122 0.8× 259 1.7× 18 1.2k
Hao Feng China 23 606 2.1× 141 0.6× 506 2.7× 128 0.8× 298 1.9× 79 1.5k
Hung‐Wen Tsai Taiwan 19 401 1.4× 400 1.8× 215 1.2× 463 3.0× 152 1.0× 83 1.3k
Jinsong Hu China 19 747 2.5× 64 0.3× 391 2.1× 152 1.0× 344 2.2× 50 1.5k
Kai‐Fu Tang China 19 548 1.9× 139 0.6× 197 1.1× 280 1.8× 327 2.1× 48 1.1k
Krishna Kumar India 13 407 1.4× 74 0.3× 289 1.6× 142 0.9× 105 0.7× 28 946
Laurent Mailly France 16 732 2.5× 401 1.8× 171 0.9× 434 2.8× 150 1.0× 25 1.4k
Xing Lv China 15 227 0.8× 78 0.4× 88 0.5× 105 0.7× 145 0.9× 54 591
Lu Cui China 16 345 1.2× 70 0.3× 99 0.5× 94 0.6× 45 0.3× 31 835

Countries citing papers authored by Yuanguo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuanguo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanguo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanguo Wang. A scholar is included among the top collaborators of Yuanguo Wang 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 Yuanguo Wang. Yuanguo Wang 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.
Bai, Bing, Wenming Bao, Yuanguo Wang, et al.. (2025). Targeting Hepatic Stellate Cell PD-L1 Alters Liver Inflammation and Fibrosis in CCl4 Liver Injury Mouse Model. Cellular and Molecular Gastroenterology and Hepatology. 19(11). 101587–101587.
2.
Liu, Yuxin, Si Chen, Xinyu Zhang, et al.. (2024). Distribution of multi-level B cell subsets in thymoma and thymoma-associated myasthenia gravis. Scientific Reports. 14(1). 2674–2674. 2 indexed citations
3.
Wang, Yuanguo, Bing Bai, Wenming Bao, et al.. (2024). PKMζ, a Brain-specific PKCζ Isoform, is Required for Glycolysis and Myofibroblastic Activation of Hepatic Stellate Cells. Cellular and Molecular Gastroenterology and Hepatology. 19(3). 101429–101429.
4.
Wang, Yuanguo, et al.. (2024). CMTM6 mediates the Warburg effect and promotes the liver metastasis of colorectal cancer. Experimental & Molecular Medicine. 56(9). 2002–2015. 4 indexed citations
5.
Wang, Yuanguo, Bing Bai, Xipu He, et al.. (2024). Targeting Src SH3 domain–mediated glycolysis of HSC suppresses transcriptome, myofibroblastic activation, and colorectal liver metastasis. Hepatology. 80(3). 578–594. 20 indexed citations
6.
Yang, Flora, Leena Hilakivi‐Clarke, Yuanguo Wang, et al.. (2023). Metabolic reprogramming and its clinical implication for liver cancer. Hepatology. 78(5). 1602–1624. 81 indexed citations
7.
Li, Jian, Zeyang Zhang, Yuan Chen, et al.. (2023). Downregulation of HMGB1 in thymoma cells affects T cell differentiation. Central European Journal of Immunology. 48(3). 237–244. 3 indexed citations
8.
Yu, Qian, et al.. (2021). Optimization of Vehicle Transportation Route Based on IoT. Mathematical Problems in Engineering. 2021. 1–10. 4 indexed citations
9.
Wang, Yuanguo, et al.. (2021). Mig‐6 could inhibit cell proliferation and induce apoptosis in esophageal squamous cell carcinoma. Thoracic Cancer. 13(1). 54–60. 5 indexed citations
10.
Lu, Chao, Shuai Gao, Peng Zhang, et al.. (2021). Two types of immune infiltrating cells and six hub genes can predict the occurrence of myasthenia gravis in patients with thymoma. Bioengineered. 12(1). 5004–5016. 4 indexed citations
11.
Wang, Yuanguo, et al.. (2020). High expression of KITLG is a new hallmark activating the MAPK pathway in type A and AB thymoma. Thoracic Cancer. 11(7). 1944–1954. 17 indexed citations
12.
Wang, Yuanguo, Kangsheng Tu, Donglian Liu, et al.. (2019). p300 Acetyltransferase Is a Cytoplasm‐to‐Nucleus Shuttle for SMAD2/3 and TAZ Nuclear Transport in Transforming Growth Factor β–Stimulated Hepatic Stellate Cells. Hepatology. 70(4). 1409–1423. 77 indexed citations
13.
Dou, Changwei, Zhikui Liu, Kangsheng Tu, et al.. (2018). P300 Acetyltransferase Mediates Stiffness-Induced Activation of Hepatic Stellate Cells Into Tumor-Promoting Myofibroblasts. Gastroenterology. 154(8). 2209–2221.e14. 175 indexed citations
14.
Xiang, Xiaoyu, Yuanguo Wang, Hongbin Zhang, et al.. (2018). Vasodilator-stimulated phosphoprotein promotes liver metastasis of gastrointestinal cancer by activating a β1-integrin-FAK-YAP1/TAZ signaling pathway. npj Precision Oncology. 2(1). 2–2. 22 indexed citations
15.
Peng, Zhong, Sidi Liu, Xiujuan Meng, et al.. (2017). Genome characterization of a novel binary toxin-positive strain of Clostridium difficile and comparison with the epidemic 027 and 078 strains. Gut Pathogens. 9(1). 42–42. 13 indexed citations
16.
Chen, Yuan, Xin Liu, Yimei Liu, et al.. (2017). Decreased Wnt4 expression inhibits thymoma development through downregulation of FoxN1. Journal of Thoracic Disease. 9(6). 1574–1583. 7 indexed citations
17.
Zhang, Hui, Peng Zhang, Yimei Liu, et al.. (2014). In vitro study of the effect of small interfering ribonucleic acid on the expression of FOXN1 and B cell‐attracting chemokine 1 in thymoma cell lines. Thoracic Cancer. 6(2). 172–179. 3 indexed citations
18.
Liu, Yimei, Peng Zhang, Fanjie Meng, et al.. (2014). Autoimmune regulator expression in thymomas with or without autoimmune disease. Immunology Letters. 161(1). 50–56. 40 indexed citations
19.
20.
Zhang, Tianhong, et al.. (2010). Simultaneous determination of four components in the herbs of Sumbucus chinensis Lindl. by high performance liquid chromatography. 亚洲传统医药. 5(2). 70–74. 2 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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