Xiaoxin Mu

633 total citations · 1 hit paper
18 papers, 469 citations indexed

About

Xiaoxin Mu is a scholar working on Molecular Biology, Surgery and Hepatology. According to data from OpenAlex, Xiaoxin Mu has authored 18 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Hepatology. Recurrent topics in Xiaoxin Mu's work include Organ Transplantation Techniques and Outcomes (4 papers), Liver physiology and pathology (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xiaoxin Mu is often cited by papers focused on Organ Transplantation Techniques and Outcomes (4 papers), Liver physiology and pathology (3 papers) and Cancer-related molecular mechanisms research (3 papers). Xiaoxin Mu collaborates with scholars based in China and United States. Xiaoxin Mu's co-authors include Hua Sun, Dongju Feng, Yu Jin, Xinru Wang, Weiwei Tang, Chupeng Hu, Lei Xu, Yi Jiang, Yun Chen and Wenjun Cheng and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaoxin Mu

17 papers receiving 465 citations

Hit Papers

Gut microbiota–derived short‐chain fatty acids regulate g... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoxin Mu China 12 277 136 108 93 85 18 469
Shima Mimura Japan 10 325 1.2× 173 1.3× 146 1.4× 81 0.9× 52 0.6× 41 495
Qin Guo China 8 276 1.0× 102 0.8× 105 1.0× 77 0.8× 87 1.0× 23 492
Linhua Ji China 13 296 1.1× 150 1.1× 88 0.8× 82 0.9× 52 0.6× 35 500
Eleonora Liguori Italy 9 232 0.8× 92 0.7× 174 1.6× 114 1.2× 29 0.3× 11 476
Dapeng Ma China 14 291 1.1× 68 0.5× 85 0.8× 86 0.9× 193 2.3× 22 473
Xinjuan Kong China 11 304 1.1× 159 1.2× 98 0.9× 64 0.7× 33 0.4× 34 521
Wenhua You China 7 239 0.9× 75 0.6× 144 1.3× 76 0.8× 117 1.4× 12 442
Bingyong Zhang China 14 276 1.0× 184 1.4× 42 0.4× 88 0.9× 29 0.3× 25 487
Jinpiao Lin China 13 403 1.5× 136 1.0× 73 0.7× 49 0.5× 192 2.3× 23 671

Countries citing papers authored by Xiaoxin Mu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxin Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxin Mu. A scholar is included among the top collaborators of Xiaoxin Mu 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 Xiaoxin Mu. Xiaoxin Mu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Ji, Yang, Lei Tang, Xiaoxin Mu, et al.. (2025). O-GlcNAcylation of YBX1 drives a glycolysis-histone lactylation feedback loop in hepatocellular carcinoma. Cancer Letters. 631. 217957–217957. 1 indexed citations
2.
Gao, Ji, et al.. (2023). The Prognostic and Therapeutic Role of Histone Acetylation Modification in LIHC Development and Progression. Medicina. 59(9). 1682–1682. 5 indexed citations
3.
Hu, Chupeng, Bingqing Xu, Xiaodong Wang, et al.. (2022). Gut microbiota–derived short‐chain fatty acids regulate group 3 innate lymphoid cells in HCC. Hepatology. 77(1). 48–64. 131 indexed citations breakdown →
4.
Liu, Boyuan, Zewei Zhou, Yu Jin, et al.. (2022). Hepatic stellate cell activation and senescence induced by intrahepatic microbiota disturbances drive progression of liver cirrhosis toward hepatocellular carcinoma. Journal for ImmunoTherapy of Cancer. 10(1). e003069–e003069. 75 indexed citations
5.
Deng, Zhenhua, Jinren Zhou, Xiaoxin Mu, et al.. (2021). Regulatory T Cells Improved the Anti-cirrhosis Activity of Human Amniotic Mesenchymal Stem Cell in the Liver by Regulating the TGF-β-Indoleamine 2,3-Dioxygenase Signaling. Frontiers in Cell and Developmental Biology. 9. 737825–737825. 6 indexed citations
6.
Ma, Tao, Hailiang Wei, Shuguang Yan, et al.. (2021). Long Non-coding RNA SNHG17 Upregulates RFX1 by Sponging miR-3180-3p and Promotes Cellular Function in Hepatocellular Carcinoma. Frontiers in Genetics. 11. 607636–607636. 21 indexed citations
8.
Sun, Jin‐Yu, et al.. (2020). Diagnostic and prognostic value of circular RNAs in hepatocellular carcinoma. Journal of Cellular and Molecular Medicine. 24(10). 5438–5445. 16 indexed citations
9.
Mu, Xiaoxin, Chen Wu, Guoqiang Li, et al.. (2019). Liver Transplantation Using Right Lobe Graft With Focal Nodular Hyperplasia: Report of 2 Cases. Transplantation Proceedings. 51(10). 3347–3350. 1 indexed citations
10.
Zhou, Haoming, Feng Zhan, Hui Zhang, et al.. (2019). The proportion of CD19+CD24hiCD27+ regulatory B cells predicts the occurrence of acute allograft rejection in liver transplantation. Annals of Translational Medicine. 7(18). 465–465. 16 indexed citations
11.
Ji, Dong, Jincheng Wang, Fengmin Lu, et al.. (2018). Identification of TAF1, HNF4A, and CALM2 as potential therapeutic target genes for liver fibrosis. Journal of Cellular Physiology. 234(6). 9045–9051. 25 indexed citations
12.
Sun, Beicheng, Guoqiang Li, Xinli Huang, Jianjie Qin, & Xiaoxin Mu. (2018). [Clinical application of LDLT after reconstruction of IVC using artificial blood vessel in the treatment of HCC beyond Milan Criteria].. PubMed. 40(3). 211–215. 1 indexed citations
13.
Li, Guoqiang, Xiaoxin Mu, Xinli Huang, et al.. (2017). Liver transplantation using the otherwise-discarded partial liver resection graft with hepatic benign tumor. Medicine. 96(29). e7295–e7295. 5 indexed citations
14.
Wang, Xiaochen, Runqiu Jiang, Jiajie Hou, et al.. (2015). Effect of Tumor Size on Cancer-Specific Survival in Small Hepatocellular Carcinoma. Mayo Clinic Proceedings. 90(9). 1187–1195. 36 indexed citations
15.
Tang, Weiwei, Yi Jiang, Xiaoxin Mu, et al.. (2014). MiR-135a functions as a tumor suppressor in epithelial ovarian cancer and regulates HOXA10 expression. Cellular Signalling. 26(7). 1420–1426. 67 indexed citations
16.
Mu, Xiaoxin, Shu Lin, Junhua Yang, et al.. (2013). TGF-β Signaling Is Often Attenuated during Hepatotumorigenesis, but Is Retained for the Malignancy of Hepatocellular Carcinoma Cells. PLoS ONE. 8(5). e63436–e63436. 23 indexed citations
17.
Lin, Shu, Lan Yu, Junhua Yang, et al.. (2011). Mutant p53 Disrupts Role of ShcA Protein in Balancing Smad Protein-dependent and -independent Signaling Activity of Transforming Growth Factor-β (TGF-β). Journal of Biological Chemistry. 286(51). 44023–44034. 12 indexed citations
18.
Shao, Qing, Hua Sun, Xiaoxin Mu, et al.. (2011). Evaluation of Epstein-Barr Virus Latent Membrane Protein 2 Specific T-Cell Receptors Driven by T-Cell Specific Promoters Using Lentiviral Vector. SHILAP Revista de lepidopterología. 2011. 1–10. 11 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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