Xia Li

3.9k total citations
119 papers, 2.9k citations indexed

About

Xia Li is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Xia Li has authored 119 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 38 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Xia Li's work include RNA modifications and cancer (18 papers), Cancer-related molecular mechanisms research (18 papers) and Circular RNAs in diseases (12 papers). Xia Li is often cited by papers focused on RNA modifications and cancer (18 papers), Cancer-related molecular mechanisms research (18 papers) and Circular RNAs in diseases (12 papers). Xia Li collaborates with scholars based in China, United States and Macao. Xia Li's co-authors include Bin Guo, Xiangwei Huang, Feng‐Lai Yuan, Zhangnan Liu, Huijuan Wang, Ming Fan, Rui‐Sheng Xu, Qiong Liao, Guosheng Jiang and Quansheng Feng and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Circulation.

In The Last Decade

Xia Li

109 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia Li China 29 2.0k 826 307 306 164 119 2.9k
Xiaojin Zhang China 35 2.1k 1.1× 592 0.7× 362 1.2× 210 0.7× 187 1.1× 153 3.8k
Min Young Lee South Korea 30 1.6k 0.8× 479 0.6× 293 1.0× 346 1.1× 145 0.9× 110 2.6k
Diana Gulei Romania 28 1.8k 0.9× 1.0k 1.2× 504 1.6× 245 0.8× 171 1.0× 71 2.9k
Zheng Zhang China 33 2.6k 1.3× 1.5k 1.8× 246 0.8× 323 1.1× 197 1.2× 110 3.9k
Haiyu Zhang China 30 1.5k 0.8× 506 0.6× 399 1.3× 212 0.7× 201 1.2× 90 2.9k
Zhiyu Zhang China 29 1.6k 0.8× 829 1.0× 273 0.9× 323 1.1× 118 0.7× 117 2.7k
Yingli Wu China 32 2.2k 1.1× 541 0.7× 516 1.7× 278 0.9× 234 1.4× 145 3.2k
Lan Luo China 31 1.7k 0.9× 366 0.4× 300 1.0× 368 1.2× 209 1.3× 114 2.9k
Yuan Qin China 26 1.2k 0.6× 595 0.7× 420 1.4× 258 0.8× 124 0.8× 120 2.2k
Chuan Zhang China 26 1.4k 0.7× 436 0.5× 291 0.9× 203 0.7× 140 0.9× 103 2.2k

Countries citing papers authored by Xia Li

Since Specialization
Citations

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

Fields of papers citing papers by Xia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Li. A scholar is included among the top collaborators of Xia Li 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 Xia Li. Xia Li 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.
Liu, Xinying, Jiaqi Chen, Tianyi Li, et al.. (2025). HCDT 2.0: A Highly Confident Drug-Target Database for Experimentally Validated Genes, RNAs, and Pathways. Scientific Data. 12(1). 695–695.
2.
Tang, Peng, et al.. (2025). Potential modulation of microglial ferroptosis by Linggui Zhugan decoction in Alzheimer's disease through IL-17 and TNF pathways. International Immunopharmacology. 165. 115489–115489.
3.
Cao, Weiya, Bing Li, Haibo Jin, et al.. (2025). S100a8 inhibitor Paquinimod attenuates coal dust-induced pulmonary fibrosis via blocking neutrophils-S100a8-Tlr4-macrophages signaling axis. International Immunopharmacology. 161. 115020–115020.
4.
Chen, Peng, Hongyu Liu, Mingjie Dong, et al.. (2024). Constructing methylation-driven ceRNA networks unveil tumor heterogeneity and predict patient prognosis. Human Molecular Genetics. 34(3). 251–264. 1 indexed citations
5.
Gao, Huan, et al.. (2023). Resistomycin Inhibits Wnt/β-Catenin Signaling to Induce the Apoptotic Death of Human Colorectal Cancer Cells. Marine Drugs. 21(12). 622–622. 9 indexed citations
6.
Wu, Siyuan, Xiaozhi Lv, Shiwei Liu, et al.. (2023). The Potential Mechanism of Curcumin in Treating Oral Squamous Cell Carcinoma Based on Integrated Bioinformatic Analysis. International Journal of Genomics. 2023. 1–13.
7.
Zou, Chen, Dahong Huang, Siyuan Wu, et al.. (2022). CircMAT2B Induced by TEAD1 Aggravates the Warburg Effect and Tumorigenesis of Oral Squamous Cell Carcinoma through the miR-942-5p/HSPD1 Axis. Journal of Oncology. 2022. 1–14. 2 indexed citations
8.
Li, Xia, Yijun Gao, Wuya Chen, et al.. (2022). N6‐methyladenosine modification contributes to arecoline‐mediated oral submucosal fibrosis. Journal of Oral Pathology and Medicine. 51(5). 474–482. 11 indexed citations
9.
Ai, Yilong, Shiwei Liu, Siyuan Wu, et al.. (2021). METTL3 Intensifies the Progress of Oral Squamous Cell Carcinoma via Modulating the m6A Amount of PRMT5 and PD-L1. Journal of Immunology Research. 2021. 1–15. 45 indexed citations
10.
Zou, Chen, Dahong Huang, Siyuan Wu, et al.. (2021). Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma. Journal of Immunology Research. 2021. 1–13. 11 indexed citations
11.
Ruan, Hang, Jiahui Ma, Xing‐Ming Zhao, et al.. (2021). Actinomycin V Induces Apoptosis Associated with Mitochondrial and PI3K/AKT Pathways in Human CRC Cells. Marine Drugs. 19(11). 599–599. 14 indexed citations
12.
Ai, Yilong, Shiwei Liu, Siyuan Wu, et al.. (2021). lncRNA DCST1-AS1 Facilitates Oral Squamous Cell Carcinoma by Promoting M2 Macrophage Polarization through Activating NF-κB Signaling. Journal of Immunology Research. 2021. 1–9. 28 indexed citations
13.
Li, Xia, et al.. (2021). Validating HMMR Expression and Its Prognostic Significance in Lung Adenocarcinoma Based on Data Mining and Bioinformatics Methods. Frontiers in Oncology. 11. 720302–720302. 15 indexed citations
14.
Li, Daxiu, Xia Li, Fang Yang, Ruo Yuan, & Yun Xiang. (2020). Targeted Delivery of DNA Framework-Encapsulated Native Therapeutic Protein into Cancer Cells. ACS Applied Materials & Interfaces. 12(49). 54489–54496. 17 indexed citations
15.
Han, Zhuo, Jiahui Ma, Xing‐Ming Zhao, et al.. (2020). Involvement of Reactive Oxygen Species in the Hepatorenal Toxicity of Actinomycin V In Vitro and In Vivo. Marine Drugs. 18(8). 428–428. 6 indexed citations
16.
Liu, Fangyuan, Shiqi Lin, Caiyun Zhang, et al.. (2019). The Novel Nature Microtubule Inhibitor Ivalin Induces G2/M Arrest and Apoptosis in Human Hepatocellular Carcinoma SMMC-7721 Cells In Vitro. Medicina. 55(8). 470–470. 12 indexed citations
17.
Han, Zhuo, Fang-Yuan Liu, Shiqi Lin, et al.. (2019). Ivalin Induces Mitochondria-Mediated Apoptosis Associated with the NF-κB Activation in Human Hepatocellular Carcinoma SMMC-7721 Cells. Molecules. 24(20). 3809–3809. 3 indexed citations
18.
19.
Jiang, Yinghao, et al.. (2019). ZEB2-AS1 Accelerates Epithelial/Mesenchymal Transition Through miR-1205/CRKL Pathway in Colorectal Cancer. Cancer Biotherapy and Radiopharmaceuticals. 35(2). 153–162. 15 indexed citations
20.
Sleiman, Sama F., Brett Langley, Manuela Basso, et al.. (2011). Mithramycin Is a Gene-Selective Sp1 Inhibitor That Identifies a Biological Intersection between Cancer and Neurodegeneration. Journal of Neuroscience. 31(18). 6858–6870. 111 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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