Yanmin Xu

1.9k total citations
24 papers, 1.6k citations indexed

About

Yanmin Xu is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Yanmin Xu has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 12 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Yanmin Xu's work include Cancer Cells and Metastasis (8 papers), MicroRNA in disease regulation (6 papers) and CAR-T cell therapy research (5 papers). Yanmin Xu is often cited by papers focused on Cancer Cells and Metastasis (8 papers), MicroRNA in disease regulation (6 papers) and CAR-T cell therapy research (5 papers). Yanmin Xu collaborates with scholars based in China, United States and Spain. Yanmin Xu's co-authors include Cheng Qian, Zhi Yang, Juanjuan Shan, Limei Liu, Xiu‐Wu Bian, Junjie Shen, X Y Feng, Ping Bie, You‐Hong Cui and Leina Ma and has published in prestigious journals such as ACS Nano, PLoS ONE and Hepatology.

In The Last Decade

Yanmin Xu

22 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanmin Xu China 18 1.1k 566 507 159 135 24 1.6k
Juanjuan Shan China 24 1.4k 1.3× 735 1.3× 635 1.3× 191 1.2× 208 1.5× 41 2.1k
Dongjun Jeong South Korea 21 798 0.7× 294 0.5× 528 1.0× 71 0.4× 202 1.5× 55 1.6k
Éric Guérin France 27 811 0.8× 491 0.9× 693 1.4× 91 0.6× 88 0.7× 75 1.7k
Jianting Long China 20 784 0.7× 512 0.9× 290 0.6× 96 0.6× 81 0.6× 51 1.2k
Shiji Fang China 21 828 0.8× 490 0.9× 234 0.5× 238 1.5× 213 1.6× 63 1.6k
Xiaojie Xu China 21 1.1k 1.0× 854 1.5× 285 0.6× 56 0.4× 114 0.8× 34 1.6k
Heping Li China 19 755 0.7× 503 0.9× 232 0.5× 77 0.5× 92 0.7× 47 1.2k
Virender Kumar United States 20 634 0.6× 350 0.6× 246 0.5× 175 1.1× 90 0.7× 40 1.2k
Jianguo Wang China 21 1.1k 1.0× 496 0.9× 606 1.2× 127 0.8× 605 4.5× 49 2.0k
Moo Jun Baek South Korea 20 532 0.5× 245 0.4× 492 1.0× 87 0.5× 174 1.3× 87 1.3k

Countries citing papers authored by Yanmin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yanmin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanmin Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanmin Xu. A scholar is included among the top collaborators of Yanmin 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 Yanmin Xu. Yanmin 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.
Liao, Zhongxing, Sheng Guo, Yanmin Xu, et al.. (2025). Bidirectional Mendelian randomization analysis of inflammatory factors and sleep related traits. Brain Behavior & Immunity - Health. 48. 101053–101053.
3.
Zhang, Chengcheng, Linling Wang, Qianzhen Zhang, et al.. (2023). Screening and characterization of the scFv for chimeric antigen receptor T cells targeting CEA-positive carcinoma. Frontiers in Immunology. 14. 1182409–1182409. 21 indexed citations
4.
Zhu, Xiuxiu, Jiadong Gao, Junjie Shen, et al.. (2023). RUNX3 improves CAR-T cell phenotype and reduces cytokine release while maintaining CAR-T function. Medical Oncology. 40(3). 89–89. 12 indexed citations
5.
Zhu, Xiuxiu, Yanmin Xu, Jun Chen, et al.. (2022). Simultaneous editing of TCR, HLA-I/II and HLA-E resulted in enhanced universal CAR-T resistance to allo-rejection. Frontiers in Immunology. 13. 1052717–1052717. 31 indexed citations
6.
7.
Mao, Haiyan, et al.. (2019). FBLN3 inhibits the invasion and metastasis of colorectal cancer through the AKT/mTOR pathway. Neoplasma. 66(3). 336–342. 9 indexed citations
8.
Zhang, Qianzhen, Zhi Yang, Juanjuan Shan, et al.. (2017). MicroRNA-449a maintains self-renewal in liver cancer stem-like cells by targeting Tcf3. Oncotarget. 8(66). 110187–110200. 9 indexed citations
9.
Su, Li, Yongli Luo, Zhi Yang, et al.. (2016). MEF2D Transduces Microenvironment Stimuli to ZEB1 to Promote Epithelial–Mesenchymal Transition and Metastasis in Colorectal Cancer. Cancer Research. 76(17). 5054–5067. 57 indexed citations
10.
Luo, Yongli, Zhi Yang, Li Su, et al.. (2016). Non-CSCs nourish CSCs through interleukin-17E-mediated activation of NF-κB and JAK/STAT3 signaling in human hepatocellular carcinoma. Cancer Letters. 375(2). 390–399. 38 indexed citations
11.
Yao, Chao, Li Su, Juanjuan Shan, et al.. (2016). IGF/STAT3/NANOG/Slug signaling axis simultaneously controls epithelial-mesenchymal transition and stemness maintenance in colorectal cancer: IGF/STAT3/NANOG/Slug regulates EMT and stemness. 1 indexed citations
12.
Xu, Yanmin, Leina Ma, Juanjuan Shan, et al.. (2015). MicroRNA-122 confers sorafenib resistance to hepatocellular carcinoma cells by targeting IGF-1R to regulate RAS/RAF/ERK signaling pathways. Cancer Letters. 371(2). 171–181. 135 indexed citations
13.
Ma, Leina, Jia Liu, Limei Liu, et al.. (2014). Overexpression of the Transcription Factor MEF2D in Hepatocellular Carcinoma Sustains Malignant Character by Suppressing G2–M Transition Genes. Cancer Research. 74(5). 1452–1462. 74 indexed citations
14.
Liu, Chungang, Limei Liu, Juanjuan Shan, et al.. (2013). Histone deacetylase 3 participates in self-renewal of liver cancer stem cells through histone modification. Cancer Letters. 339(1). 60–69. 66 indexed citations
15.
Liu, Chungang, Limei Liu, Xuejiao Chen, et al.. (2013). Decrease of 5-Hydroxymethylcytosine Is Associated with Progression of Hepatocellular Carcinoma through Downregulation of TET1. PLoS ONE. 8(5). e62828–e62828. 141 indexed citations
16.
Yang, Zhi, Qianzhen Zhang, Juanjuan Shan, et al.. (2012). Combined Therapy with Cytokine-Induced Killer Cells and Oncolytic Adenovirus Expressing IL-12 Induce Enhanced Antitumor Activity in Liver Tumor Model. PLoS ONE. 7(9). e44802–e44802. 45 indexed citations
17.
Feng, X Y, Wan‐Yee Lau, Yanmin Xu, et al.. (2012). Does Hepatic Ischemia–Reperfusion Injury Induced by Hepatic Pedicle Clamping Affect Survival after Partial Hepatectomy for Hepatocellular Carcinoma?. World Journal of Surgery. 37(1). 192–201. 19 indexed citations
18.
Shan, Juanjuan, Junjie Shen, Limei Liu, et al.. (2012). Nanog regulates self-renewal of cancer stem cells through the insulin-like growth factor pathway in human hepatocellular carcinoma. Hepatology. 56(3). 1004–1014. 261 indexed citations
19.
Xu, Yanmin, X Y Feng, Leina Ma, et al.. (2011). MicroRNA-122 sensitizes HCC cancer cells to adriamycin and vincristine through modulating expression of MDR and inducing cell cycle arrest. Cancer Letters. 310(2). 160–9. 177 indexed citations
20.
Xu, Yanmin, Fenghua Meng, Ru Cheng, & Zhiyuan Zhong. (2009). Reduction‐Sensitive Reversibly Crosslinked Biodegradable Micelles for Triggered Release of Doxorubicin. Macromolecular Bioscience. 9(12). 1254–1261. 89 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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