Liquan Xue

3.3k total citations
26 papers, 1.9k citations indexed

About

Liquan Xue is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Liquan Xue has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 9 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Liquan Xue's work include NF-κB Signaling Pathways (9 papers), Immune Cell Function and Interaction (7 papers) and Immune Response and Inflammation (7 papers). Liquan Xue is often cited by papers focused on NF-κB Signaling Pathways (9 papers), Immune Cell Function and Interaction (7 papers) and Immune Response and Inflammation (7 papers). Liquan Xue collaborates with scholars based in United States, China and Austria. Liquan Xue's co-authors include Stephan W. Morris, Renren Wen, Xiaoli Cui, Demin Wang, Qin Jiang, Carlos J. Orihuela, Elaine Tuomanen, Niels Ødum, Tomasz Skórski and Qian Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Liquan Xue

26 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liquan Xue United States 17 758 756 543 478 460 26 1.9k
Michał Marzec United States 24 1.0k 1.3× 784 1.0× 975 1.8× 244 0.5× 538 1.2× 41 2.4k
Valeria Masciullo Italy 25 1.5k 2.0× 214 0.3× 722 1.3× 361 0.8× 289 0.6× 53 2.5k
Timothy Back United States 32 788 1.0× 1.6k 2.2× 1.1k 1.9× 311 0.7× 126 0.3× 59 2.7k
Daniel J. Murphy United Kingdom 22 2.2k 2.9× 317 0.4× 843 1.6× 645 1.3× 190 0.4× 43 3.0k
Hideya Onishi Japan 30 1.3k 1.7× 829 1.1× 1.3k 2.3× 516 1.1× 180 0.4× 113 2.6k
Akinobu Ota Japan 20 1.2k 1.6× 214 0.3× 330 0.6× 630 1.3× 246 0.5× 91 1.9k
Hovav Nechushtan Israel 31 1.5k 2.0× 874 1.2× 955 1.8× 276 0.6× 207 0.5× 117 3.0k
Katja Pokrovskaja Tamm Sweden 30 1.3k 1.7× 606 0.8× 1.0k 1.9× 268 0.6× 296 0.6× 62 2.4k
Mengkun Zhang United States 13 728 1.0× 524 0.7× 677 1.2× 147 0.3× 146 0.3× 24 1.8k
Erik A. Nelson United States 23 907 1.2× 869 1.1× 887 1.6× 212 0.4× 261 0.6× 38 2.3k

Countries citing papers authored by Liquan Xue

Since Specialization
Citations

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

Fields of papers citing papers by Liquan Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liquan Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Liquan Xue. A scholar is included among the top collaborators of Liquan Xue 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 Liquan Xue. Liquan Xue 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.
Zheng, Yongwei, Mei Yu, Liquan Xue, et al.. (2023). CARD19, a Novel Regulator of the TAK1/NF-κB Pathway in Self-Reactive B Cells. The Journal of Immunology. 210(9). 1222–1235. 1 indexed citations
2.
Sang, Jim, Jaime Acquaviva, Julie C. Friedland, et al.. (2013). Targeted Inhibition of the Molecular Chaperone Hsp90 Overcomes ALK Inhibitor Resistance in Non–Small Cell Lung Cancer. Cancer Discovery. 3(4). 430–443. 174 indexed citations
3.
Schweitzer, Brock L., et al.. (2013). Abstract 1930: The unknown piece of the pie: Molecular markers in triple-negative lung cancer.. Cancer Research. 73(8_Supplement). 1930–1930. 1 indexed citations
4.
Bhattacharyya, Sumit, Liquan Xue, Suzanne Devkota, et al.. (2013). Carrageenan-Induced Colonic Inflammation Is Reduced in Bcl10 Null Mice and Increased in IL-10-Deficient Mice. Mediators of Inflammation. 2013. 1–13. 48 indexed citations
5.
Xu, Wu, et al.. (2013). Bcl10 is an essential regulator for A20 gene expression. Journal of Physiology and Biochemistry. 69(4). 821–834. 5 indexed citations
6.
Lasek, Amy W., Jana P. Lim, Christopher L. Kliethermes, et al.. (2011). An Evolutionary Conserved Role for Anaplastic Lymphoma Kinase in Behavioral Responses to Ethanol. PLoS ONE. 6(7). e22636–e22636. 80 indexed citations
7.
Weiss, Joseph B., Changhui Xue, Ted S. Benice, et al.. (2011). Anaplastic Lymphoma Kinase and Leukocyte Tyrosine Kinase: Functions and genetic interactions in learning, memory and adult neurogenesis. Pharmacology Biochemistry and Behavior. 100(3). 566–574. 76 indexed citations
8.
Webb, Thomas R., Rani E. George, A. Thomas Look, et al.. (2009). Anaplastic lymphoma kinase: role in cancer pathogenesis and small-molecule inhibitor development for therapy. Expert Review of Anticancer Therapy. 9(3). 331–356. 183 indexed citations
9.
10.
Hara, Hiromitsu, Chitose Ishihara, Arata Takeuchi, et al.. (2008). Cell Type-Specific Regulation of ITAM-Mediated NF-κB Activation by the Adaptors, CARMA1 and CARD9. The Journal of Immunology. 181(2). 918–930. 49 indexed citations
11.
Zeng, Hu, Yuhong Chen, Mei Yu, et al.. (2008). T Cell Receptor-mediated Activation of CD4+CD44hi T Cells Bypasses Bcl10. Journal of Biological Chemistry. 283(36). 24392–24399. 13 indexed citations
12.
Chen, Yuhong, Bhanu P. Pappu, Hu Zeng, et al.. (2007). B Cell Lymphoma 10 Is Essential for FcεR-Mediated Degranulation and IL-6 Production in Mast Cells. The Journal of Immunology. 178(1). 49–57. 24 indexed citations
13.
Hara, Hiromitsu, Chitose Ishihara, Arata Takeuchi, et al.. (2007). The adaptor protein CARD9 is essential for the activation of myeloid cells through ITAM-associated and Toll-like receptors. Nature Immunology. 8(6). 619–629. 272 indexed citations
14.
Wang, Donghai, Yun You, Liquan Xue, et al.. (2006). Bcl10 plays a critical role in NF-κB activation induced by G protein-coupled receptors. Proceedings of the National Academy of Sciences. 104(1). 145–150. 80 indexed citations
15.
Wen, Renren, Yuhong Chen, Liquan Xue, et al.. (2003). Phospholipase Cγ2 Provides Survival Signals via Bcl2 and A1 in Different Subpopulations of B Cells. Journal of Biological Chemistry. 278(44). 43654–43662. 36 indexed citations
16.
Hübinger, Gabriele, et al.. (2003). Hammerhead ribozyme–mediated cleavage of the fusion transcript NPM-ALK associated with anaplastic large-cell lymphoma. Experimental Hematology. 31(3). 226–233. 17 indexed citations
17.
Zhang, Qian, Liquan Xue, Mirosław Majewski, et al.. (2002). Multilevel Dysregulation of STAT3 Activation in Anaplastic Lymphoma Kinase-Positive T/Null-Cell Lymphoma. The Journal of Immunology. 168(1). 466–474. 220 indexed citations
18.
Morris, Stephan W., Liquan Xue, Zhigui Ma, & Marsha C. Kinney. (2001). Alk+ CD30+ lymphomas: a distinct molecular genetic subtype of non‐hodgkin's lymphoma. British Journal of Haematology. 113(2). 275–295. 92 indexed citations
19.
Zhang, Quangeng, Reiner Siebert, Minhong Yan, et al.. (1999). Inactivating mutations and overexpression of BCL10, a caspase recruitment domain-containing gene, in MALT lymphoma with t(1;14)(p22;q32). Nature Genetics. 22(1). 63–68. 303 indexed citations
20.

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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