Le‐Xing Yu

6.2k total citations · 3 hit papers
27 papers, 3.9k citations indexed

About

Le‐Xing Yu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Le‐Xing Yu has authored 27 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Immunology and 10 papers in Oncology. Recurrent topics in Le‐Xing Yu's work include Liver physiology and pathology (5 papers), Immune Response and Inflammation (5 papers) and Immune cells in cancer (5 papers). Le‐Xing Yu is often cited by papers focused on Liver physiology and pathology (5 papers), Immune Response and Inflammation (5 papers) and Immune cells in cancer (5 papers). Le‐Xing Yu collaborates with scholars based in China, United States and South Korea. Le‐Xing Yu's co-authors include Robert F. Schwabe, Hongyang Wang, Silvia Affò, Wen Yang, Mengchao Wu, Ling Yan, Liang Tang, Linna Guo, He‐Xin Yan and Dan Cao and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Le‐Xing Yu

26 papers receiving 3.8k citations

Hit Papers

Tumor-derived exosomal mi... 2016 2026 2019 2022 2018 2016 2017 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Le‐Xing Yu 2.2k 1.2k 1.1k 825 734 27 3.9k
Henning Schulze‐Bergkamen 1.8k 0.8× 574 0.5× 995 0.9× 676 0.8× 607 0.8× 70 3.2k
Wen Yang 2.0k 0.9× 1.2k 1.0× 887 0.8× 432 0.5× 457 0.6× 42 3.2k
Taoyang Chen 2.1k 1.0× 1.5k 1.2× 621 0.6× 643 0.8× 538 0.7× 93 3.5k
Wei‐Fen Xie 2.1k 0.9× 999 0.8× 905 0.8× 1.0k 1.2× 1.2k 1.7× 116 4.3k
Hayato Hikita 1.7k 0.8× 723 0.6× 600 0.6× 1.4k 1.7× 842 1.1× 133 3.6k
Wei Yu 2.5k 1.1× 764 0.6× 829 0.8× 637 0.8× 445 0.6× 132 4.2k
Matthias S. Matter 1.6k 0.7× 1.0k 0.8× 903 0.8× 429 0.5× 449 0.6× 91 3.7k
Nathalie Théret 1.4k 0.6× 649 0.5× 755 0.7× 477 0.6× 607 0.8× 87 3.4k
Hisanobu Ogata 1.1k 0.5× 755 0.6× 863 0.8× 1.0k 1.2× 716 1.0× 26 3.0k
Zhi Dai 2.7k 1.2× 1.9k 1.6× 1.7k 1.6× 719 0.9× 677 0.9× 97 5.4k

Countries citing papers authored by Le‐Xing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Le‐Xing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le‐Xing Yu. 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 Le‐Xing Yu. The network helps show where Le‐Xing Yu may publish in the future.

Co-authorship network of co-authors of Le‐Xing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Le‐Xing Yu. A scholar is included among the top collaborators of Le‐Xing Yu 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 Le‐Xing Yu. Le‐Xing Yu 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.
Yu, Wenbin, et al.. (2025). Identifying active spreading nodes in complex networks. Physica A Statistical Mechanics and its Applications. 669. 130619–130619.
2.
Pan, Yufei, Can Chen, Xiuliang Cui, et al.. (2022). Androgens drive sexual dimorphism in liver metastasis by promoting hepatic accumulation of neutrophils. Cell Reports. 39(12). 110987–110987. 16 indexed citations
3.
Feng, Qiyu, et al.. (2021). The Roles of Neutrophils in the Pathogenesis of Liver Diseases. Frontiers in Immunology. 12. 625472–625472. 59 indexed citations
4.
Li, Ying, Yaping Dong, You‐Wen Qian, et al.. (2020). Identification of important genes and drug repurposing based on clinical-centered analysis across human cancers. Acta Pharmacologica Sinica. 42(2). 282–289. 4 indexed citations
5.
Yu, Le‐Xing, Ling Yan, & Hongyang Wang. (2018). Role of nonresolving inflammation in hepatocellular carcinoma development and progression. npj Precision Oncology. 2(1). 6–6. 235 indexed citations
6.
Fang, Tian, Hongwei Lv, Guishuai Lv, et al.. (2018). Tumor-derived exosomal miR-1247-3p induces cancer-associated fibroblast activation to foster lung metastasis of liver cancer. Nature Communications. 9(1). 191–191. 779 indexed citations breakdown →
7.
Yu, Le‐Xing & Robert F. Schwabe. (2017). The gut microbiome and liver cancer: mechanisms and clinical translation. Nature Reviews Gastroenterology & Hepatology. 14(9). 527–539. 422 indexed citations breakdown →
8.
Wu, Fuquan, Tian Fang, Le‐Xing Yu, et al.. (2016). ADRB2 signaling promotes HCC progression and sorafenib resistance by inhibiting autophagic degradation of HIF1α. Journal of Hepatology. 65(2). 314–324. 179 indexed citations
9.
Liu, Qiong, Wen Wen, Liang Tang, et al.. (2016). Inhibition of SIRPα in dendritic cells potentiates potent antitumor immunity. OncoImmunology. 5(9). e1183850–e1183850. 33 indexed citations
10.
Zhao, Xiaying, Jing Fu, An Xu, et al.. (2015). Gankyrin drives malignant transformation of chronic liver damage-mediated fibrosis via the Rac1/JNK pathway. Cell Death and Disease. 6(5). e1751–e1751. 43 indexed citations
11.
Zheng, Longyi, Wen Yang, Fuquan Wu, et al.. (2013). Prognostic Significance of AMPK Activation and Therapeutic Effects of Metformin in Hepatocellular Carcinoma. Clinical Cancer Research. 19(19). 5372–5380. 184 indexed citations
12.
Zou, Shan–Shan, Wen Yang, He‐Xin Yan, et al.. (2013). Role of β-Catenin in regulating the balance between TNF-α- and Fas-induced acute liver injury. Cancer Letters. 335(1). 160–167. 7 indexed citations
13.
Dai, Rongyang, Xiaozhi Zhao, Jinjing Li, et al.. (2013). Implication of transcriptional repression in compound C-induced apoptosis in cancer cells. Cell Death and Disease. 4(10). e883–e883. 28 indexed citations
14.
Lin, Yan, Le‐Xing Yu, He‐Xin Yan, et al.. (2012). Gut-Derived Lipopolysaccharide Promotes T-Cell–Mediated Hepatitis in Mice through Toll-Like Receptor 4. Cancer Prevention Research. 5(9). 1090–1102. 33 indexed citations
15.
Yang, Wen, Chao Wang, Yan Lin, et al.. (2012). OV6+ tumor-initiating cells contribute to tumor progression and invasion in human hepatocellular carcinoma. Journal of Hepatology. 57(3). 613–620. 106 indexed citations
16.
17.
Liu, Qiong, Bo Zhai, Wen Yang, et al.. (2009). Abrogation of Local Cancer Recurrence After Radiofrequency Ablation by Dendritic Cell-based Hyperthermic Tumor Vaccine. Molecular Therapy. 17(12). 2049–2057. 48 indexed citations
18.
Yang, Wen, He‐Xin Yan, Lei Chen, et al.. (2008). Wnt/β-Catenin Signaling Contributes to Activation of Normal and Tumorigenic Liver Progenitor Cells. Cancer Research. 68(11). 4287–4295. 306 indexed citations
19.
Dong, Liwei, Xiaoni Kong, He‐Xin Yan, et al.. (2008). Signal regulatory protein α negatively regulates both TLR3 and cytoplasmic pathways in type I interferon induction. Molecular Immunology. 45(11). 3025–3035. 37 indexed citations
20.
Kong, Xiaoni, He‐Xin Yan, Lei Chen, et al.. (2007). LPS-induced down-regulation of signal regulatory protein α contributes to innate immune activation in macrophages. The Journal of Experimental Medicine. 204(11). 2719–2731. 114 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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