Liang‐Guo Xu

6.0k total citations · 2 hit papers
63 papers, 5.1k citations indexed

About

Liang‐Guo Xu is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Liang‐Guo Xu has authored 63 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Immunology, 34 papers in Molecular Biology and 21 papers in Cancer Research. Recurrent topics in Liang‐Guo Xu's work include interferon and immune responses (34 papers), Immune Response and Inflammation (28 papers) and NF-κB Signaling Pathways (20 papers). Liang‐Guo Xu is often cited by papers focused on interferon and immune responses (34 papers), Immune Response and Inflammation (28 papers) and NF-κB Signaling Pathways (20 papers). Liang‐Guo Xu collaborates with scholars based in China, United States and Taiwan. Liang‐Guo Xu's co-authors include Hong‐Bing Shu, Zhonghe Zhai, Ke-Jun Han, Lianyun Li, Yan‐Yi Wang, Lianghua Bin, Min Wu, Xiaoyan Li, Ting Liu and Danying Chen and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Liang‐Guo Xu

63 papers receiving 5.0k citations

Hit Papers

VISA Is an Adapter Protei... 2004 2026 2011 2018 2005 2004 500 1000 1.5k

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 Xu China 29 3.0k 2.1k 1.0k 1.0k 798 63 5.1k
Yuqiong Liang United States 28 3.7k 1.2× 1.8k 0.8× 314 0.3× 970 1.0× 701 0.9× 36 6.2k
Pablo Sarobe Spain 39 2.6k 0.9× 1.5k 0.7× 525 0.5× 935 0.9× 1.5k 1.9× 125 5.5k
Sandy D. Der Canada 28 2.2k 0.7× 1.8k 0.9× 616 0.6× 616 0.6× 211 0.3× 39 4.4k
Marc Pellegrini Australia 40 3.1k 1.0× 2.4k 1.1× 448 0.4× 776 0.8× 198 0.2× 91 5.5k
Chee-Kwee Ea United States 14 3.9k 1.3× 3.1k 1.4× 2.0k 2.0× 788 0.8× 185 0.2× 16 5.8k
Phillip Wong United States 31 3.2k 1.1× 1.5k 0.7× 555 0.5× 513 0.5× 190 0.2× 91 5.4k
Yasuo Horie Japan 28 1.2k 0.4× 1.7k 0.8× 476 0.5× 861 0.8× 227 0.3× 65 3.8k
Satoshi Ishido Japan 36 2.1k 0.7× 2.2k 1.0× 247 0.2× 1.6k 1.5× 641 0.8× 94 5.1k
Christine Neuveut France 31 870 0.3× 2.0k 0.9× 344 0.3× 1.4k 1.4× 810 1.0× 53 3.9k
Zhonghe Zhai China 32 3.4k 1.1× 2.5k 1.2× 909 0.9× 602 0.6× 132 0.2× 65 4.9k

Countries citing papers authored by Liang‐Guo Xu

Since Specialization
Citations

This map shows the geographic impact of Liang‐Guo Xu'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 Xu 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 Xu more than expected).

Fields of papers citing papers by Liang‐Guo Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang‐Guo Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Guo Xu. A scholar is included among the top collaborators of Liang‐Guo Xu 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 Xu. Liang‐Guo Xu 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.
Zhong, Ni, et al.. (2023). ZNF205 positively regulates RLR antiviral signaling by targeting RIG-I. Acta Biochimica et Biophysica Sinica. 55(10). 1582–1591. 1 indexed citations
2.
Huang, Jingping, et al.. (2022). BAG6 negatively regulates the RLR signaling pathway by targeting VISA/MAVS. Frontiers in Immunology. 13. 972184–972184. 4 indexed citations
3.
Huang, Jingping, et al.. (2021). HSPBP1 facilitates cellular RLR-mediated antiviral response by inhibiting the K48-linked ubiquitination of RIG-I. Molecular Immunology. 134. 62–71. 5 indexed citations
4.
Ling, Ting, Jing Li, Changsheng Li, et al.. (2019). TARBP2 inhibits IRF7 activation by suppressing TRAF6-mediated K63-linked ubiquitination of IRF7. Molecular Immunology. 109. 116–125. 19 indexed citations
5.
Ling, Ting, et al.. (2018). TARBP2 negatively regulates IFN-β production and innate antiviral response by targeting MAVS. Molecular Immunology. 104. 1–10. 21 indexed citations
6.
Xu, Liang‐Guo, et al.. (2018). FKBP8 inhibits virus‐induced RLR‐VISA signaling. Journal of Medical Virology. 91(3). 482–492. 7 indexed citations
7.
Chen, Yuan, Meng Wang, Yue Gao, et al.. (2017). Chitinase 3‐like‐1 promotes intrahepatic activation of coagulation through induction of tissue factor in mice. Hepatology. 67(6). 2384–2396. 14 indexed citations
8.
Wang, Meng, Liang‐Guo Xu, Jared M. Brown, et al.. (2017). IL-1 receptor like 1 protects against alcoholic liver injury by limiting NF-κB activation in hepatic macrophages. Journal of Hepatology. 68(1). 109–117. 35 indexed citations
9.
You, Qiang, Yan Wu, Nannan Yao, et al.. (2015). Interaction of AIM with insulin-like growth factor-binding protein-4. International Journal of Molecular Medicine. 36(3). 833–838. 7 indexed citations
10.
Jin, Lei, Liang‐Guo Xu, Ivana V. Yang, et al.. (2011). Identification and characterization of a loss-of-function human MPYS variant. Genes and Immunity. 12(4). 263–269. 100 indexed citations
11.
Zhang, Bicheng, Jun Huang, Hongliang Li, et al.. (2008). GIDE is a mitochondrial E3 ubiquitin ligase that induces apoptosis and slows growth. Cell Research. 18(9). 900–910. 66 indexed citations
12.
Diao, Feici, Shu Li, Yang Tian, et al.. (2007). Negative regulation of MDA5- but not RIG-I-mediated innate antiviral signaling by the dihydroxyacetone kinase. Proceedings of the National Academy of Sciences. 104(28). 11706–11711. 111 indexed citations
13.
Zha, Jikun, Ke-Jun Han, Liang‐Guo Xu, et al.. (2006). The Ret Finger Protein Inhibits Signaling Mediated by the Noncanonical and Canonical IκB Kinase Family Members. The Journal of Immunology. 176(2). 1072–1080. 68 indexed citations
14.
Xu, Liang‐Guo, Yan‐Yi Wang, Ke-Jun Han, et al.. (2005). VISA Is an Adapter Protein Required for Virus-Triggered IFN-β Signaling. Molecular Cell. 19(6). 727–740. 1579 indexed citations breakdown →
15.
Huang, Jun, Ting Liu, Liang‐Guo Xu, et al.. (2005). SIKE is an IKKε/TBK1‐associated suppressor of TLR3‐ and virus‐triggered IRF‐3 activation pathways. The EMBO Journal. 24(23). 4018–4028. 131 indexed citations
16.
Liu, Yingfang, Xia Hong, John W. Kappler, et al.. (2003). Ligand–receptor binding revealed by the TNF family member TALL-1. Nature. 423(6935). 49–56. 96 indexed citations
17.
Liu, Yingfang, et al.. (2002). Crystal Structure of sTALL-1 Reveals a Virus-like Assembly of TNF Family Ligands. Cell. 108(3). 383–394. 155 indexed citations
18.
Han, Weinong, Hong Li, Lu Xie, et al.. (2002). [Plerosis of cDNA array of normal human nasopharyngeal tissue and nasopharyngeal carcinoma].. PubMed. 24(2). 114–7. 6 indexed citations
19.
Hong, Xia, Liang‐Guo Xu, Xiaoyan Li, Zhonghe Zhai, & Hong‐Bing Shu. (2001). CSN3 interacts with IKKγ and inhibits TNF‐ but not IL‐1‐induced NF‐κB activation. FEBS Letters. 499(1-2). 133–136. 24 indexed citations
20.
He, Zhiwei, Caiping Ren, Liang‐Guo Xu, et al.. (2000). Profiling gene expression patterns of nasopharyngeal carcinoma and normal nasopharynx tissues with cDNA microarray. Chinese Science Bulletin. 45(9). 830–834. 3 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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