Liang Xu

5.7k total citations
98 papers, 2.7k citations indexed

About

Liang Xu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Liang Xu has authored 98 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 30 papers in Cancer Research and 19 papers in Oncology. Recurrent topics in Liang Xu's work include MicroRNA in disease regulation (21 papers), Cancer-related molecular mechanisms research (13 papers) and Circular RNAs in diseases (11 papers). Liang Xu is often cited by papers focused on MicroRNA in disease regulation (21 papers), Cancer-related molecular mechanisms research (13 papers) and Circular RNAs in diseases (11 papers). Liang Xu collaborates with scholars based in China, United States and Singapore. Liang Xu's co-authors include Bisha Ding, Weimin Fan, H. Phillip Koeffler, Danni Chen, Weiyang Lou, Chang Bao, Weiyang Lou, Weimin Fan, Jin‐Xing Liu and De‐Chen Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Liang Xu

95 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Xu China 32 1.9k 973 423 325 276 98 2.7k
Enrico P. Spugnini Italy 33 1.5k 0.8× 714 0.7× 411 1.0× 485 1.5× 570 2.1× 110 3.3k
Qiaoming Zhi China 32 1.5k 0.8× 1.0k 1.1× 452 1.1× 200 0.6× 176 0.6× 79 2.2k
Ye Zhou China 30 1.9k 1.0× 961 1.0× 711 1.7× 763 2.3× 357 1.3× 98 3.3k
Mohashin Pathan Australia 9 2.5k 1.3× 1.3k 1.3× 177 0.4× 393 1.2× 255 0.9× 12 3.0k
Zheng Wu China 30 1.8k 1.0× 1.1k 1.1× 505 1.2× 258 0.8× 270 1.0× 102 3.1k
Lifeng Zhang China 24 2.1k 1.1× 1.3k 1.3× 367 0.9× 389 1.2× 169 0.6× 89 3.0k
John M. Ashton United States 25 2.0k 1.1× 834 0.9× 507 1.2× 420 1.3× 117 0.4× 62 3.3k
Takanori Eguchi Japan 31 2.1k 1.1× 923 0.9× 413 1.0× 260 0.8× 144 0.5× 79 2.8k
Lahiru Gangoda Australia 17 3.2k 1.7× 1.6k 1.6× 391 0.9× 864 2.7× 236 0.9× 30 4.0k
Hongxia Zhu China 33 1.9k 1.0× 756 0.8× 655 1.5× 348 1.1× 291 1.1× 110 2.9k

Countries citing papers authored by Liang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Xu. A scholar is included among the top collaborators of Liang 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 Xu. Liang 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.
Chen, Ye, et al.. (2025). Exploiting targeted degradation of cyclins and cyclin-dependent kinases for cancer therapeutics: a review. Journal of Zhejiang University SCIENCE B. 26(8). 713–739.
2.
Li, Ling, Hai Yuan, Haoran Li, et al.. (2025). Inhibiting fatty acid-binding protein 4 reverses inflammation and apoptosis in wasp sting-induced acute kidney injury. Food and Chemical Toxicology. 200. 115428–115428. 1 indexed citations
3.
Li, Xinru, et al.. (2025). Association between endocrine disrupting chemicals exposure and diabetic kidney disease in adults: A national cross-sectional NHANES study. Ecotoxicology and Environmental Safety. 293. 118044–118044. 3 indexed citations
4.
Liu, Kai, et al.. (2024). Defect-Engineered WO3–x Architectures Coupled with Random Forest Algorithm Enables Real-Time Seafood Quality Assessment. ACS Sensors. 9(8). 4196–4206. 13 indexed citations
5.
Yuan, Hai, et al.. (2024). The role of mitochondrial reactive oxygen species in initiating mitochondrial damage and inflammation in wasp-venom-induced acute kidney injury. Journal of Toxicologic Pathology. 38(1). 17–26. 4 indexed citations
6.
Xu, Liang, et al.. (2024). Exploration on the comprehensive data reconciliation framework for unknown parameter inference in the nuclear power plant system. Applied Thermal Engineering. 247. 123138–123138. 8 indexed citations
7.
Xu, Liang, Yongjia Sheng, Jin Wang, et al.. (2023). Th1 promotes M1 polarization of intestinal macrophages to regulate colitis-related mucosal barrier damage. Aging. 15(14). 6721–6735. 13 indexed citations
8.
Ding, Ling‐Wen, Henry Yang, Jonathan W. Said, et al.. (2023). Targeting RNA Exonuclease XRN1 Potentiates Efficacy of Cancer Immunotherapy. Cancer Research. 83(6). 922–938. 12 indexed citations
9.
Jia, Shunhan, Xingxing Tan, Limin Wu, et al.. (2023). Integration of plasma and electrocatalysis to synthesize cyclohexanone oxime under ambient conditions using air as a nitrogen source. Chemical Science. 14(45). 13198–13204. 36 indexed citations
10.
Bai, Han, Jianjun Yu, Shidong Jia, et al.. (2021). Prognostic Value of the TP53 Mutation Location in Metastatic Breast Cancer as Detected by Next-Generation Sequencing. Cancer Management and Research. Volume 13. 3303–3316. 8 indexed citations
11.
Pan, Lili, Chao Hong, Lai N. Chan, et al.. (2021). PON2 subverts metabolic gatekeeper functions in B cells to promote leukemogenesis. Proceedings of the National Academy of Sciences. 118(7). 13 indexed citations
12.
Ke, Xinyu, Ye Chen, Ruby Yu‐Tong Lin, et al.. (2021). MNK1 and MNK2 enforce expression of E2F1, FOXM1, and WEE1 to drive soft tissue sarcoma. Oncogene. 40(10). 1851–1867. 16 indexed citations
13.
Ding, Ling‐Wen, Qiao‐Yang Sun, Jarem Edwards, et al.. (2019). LNK suppresses interferon signaling in melanoma. Nature Communications. 10(1). 2230–2230. 20 indexed citations
14.
Chien, Wenwen, Makoto Sudo, Ling‐Wen Ding, et al.. (2018). Functional Genome-wide Screening Identifies Targets and Pathways Sensitizing Pancreatic Cancer Cells to Dasatinib. Journal of Cancer. 9(24). 4762–4773. 28 indexed citations
15.
Takao, Sumiko, Wenwen Chien, Vikas Madan, et al.. (2017). Targeting the vulnerability to NAD+ depletion in B-cell acute lymphoblastic leukemia. Leukemia. 32(3). 616–625. 30 indexed citations
16.
Zheng, Huilin, Jiaying Shen, Liang Xu, et al.. (2016). Opposite Effects of Coinjection and Distant Injection of Mesenchymal Stem Cells on Breast Tumor Cell Growth. Stem Cells Translational Medicine. 5(9). 1216–1228. 23 indexed citations
17.
Li, Huiping, Bin Shao, Guohong Song, et al.. (2016). Efficacy and safety of trastuzumab combined with chemotherapy for first-line treatment and beyond progression of HER2-overexpressing advanced breast cancer. Chinese Journal of Cancer Research. 28(3). 330–338. 16 indexed citations
18.
Lin, De‐Chen, Liang Xu, Ye Chen, et al.. (2015). Genomic and Functional Analysis of the E3 Ligase PARK2 in Glioma. Cancer Research. 75(9). 1815–1827. 51 indexed citations
19.
Qi, Haiyan, Ke Zhao, Fei Xu, et al.. (2013). HIV-1 Diversity, Drug-Resistant Mutations, and Viral Evolution among High-Risk Individuals in Phase II HIV Vaccine Trial Sites in Southern China. PLoS ONE. 8(7). e68656–e68656. 5 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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