Liling Xu

1.3k total citations
38 papers, 837 citations indexed

About

Liling Xu is a scholar working on Immunology, Rheumatology and Hematology. According to data from OpenAlex, Liling Xu has authored 38 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 12 papers in Rheumatology and 7 papers in Hematology. Recurrent topics in Liling Xu's work include T-cell and B-cell Immunology (7 papers), Spondyloarthritis Studies and Treatments (6 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). Liling Xu is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Spondyloarthritis Studies and Treatments (6 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). Liling Xu collaborates with scholars based in China, United States and Australia. Liling Xu's co-authors include Fanlei Hu, Gong Yang, Wei Xie, You Chen, Ya Zhang, Xiaoying He, Tao Zheng, Huaqun Zhu, Lianjie Shi and Yin Su and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Liling Xu

33 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liling Xu China 14 257 215 142 130 127 38 837
Ravi Shankar United States 12 147 0.6× 416 1.9× 96 0.7× 28 0.2× 102 0.8× 41 905
Athina Spiliopoulou United Kingdom 15 68 0.3× 177 0.8× 85 0.6× 122 0.9× 16 0.1× 32 873
L Charles United States 9 541 2.1× 518 2.4× 145 1.0× 250 1.9× 151 1.2× 9 1.7k
Katsuhiko Takabayashi Japan 18 520 2.0× 167 0.8× 98 0.7× 543 4.2× 70 0.6× 82 1.6k
Evangelia Zampeli Greece 19 484 1.9× 288 1.3× 35 0.2× 393 3.0× 23 0.2× 59 1.2k
G Kolarz Austria 21 106 0.4× 232 1.1× 183 1.3× 556 4.3× 64 0.5× 94 1.2k
Puxun Tian China 17 171 0.7× 355 1.7× 31 0.2× 18 0.1× 41 0.3× 53 1.0k
Jin Yang China 20 55 0.2× 411 1.9× 68 0.5× 37 0.3× 30 0.2× 68 1.3k
Shun Zheng China 13 124 0.5× 161 0.7× 129 0.9× 49 0.4× 6 0.0× 30 695
Héctor Sanz United States 4 92 0.4× 175 0.8× 42 0.3× 37 0.3× 11 0.1× 8 481

Countries citing papers authored by Liling Xu

Since Specialization
Citations

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

Fields of papers citing papers by Liling Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liling Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Liling Xu. A scholar is included among the top collaborators of Liling 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 Liling Xu. Liling 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.
Xu, Liling, Shan Huang, Rui Wang, et al.. (2025). Phosphatidylethanolamine/PKA signal axis mediated human milk extracellular vesicles enhance adipose thermogenesis and lipolysis via mitochondrial remodeling. International Journal of Obesity. 49(10). 2081–2093.
2.
Xu, Liling, Hua Zhong, Lei Zhang, et al.. (2025). Clinical features of inflammatory arthritis in daily practice—China’s perspective. Clinical Rheumatology. 44(3). 969–978.
3.
Xu, Liling, et al.. (2024). Exploring the effect of digital transformation on firm resilience: Evidence from China. Journal of Asian Economics. 95. 101812–101812. 9 indexed citations
4.
Wang, Ping, Liling Xu, Mingxin Bai, et al.. (2024). MDSCs are important osteoclast precursors primed by B cells in rheumatoid arthritis. European Journal of Immunology. 54(9). e2350823–e2350823. 3 indexed citations
5.
Peng, Li‐Ning, Min Xu, Ying Wang, et al.. (2024). Latent profile analysis of dyspnea-related kinesiophobia in older adults with chronic obstructive pulmonary disease. Heart & Lung. 69. 241–247. 2 indexed citations
6.
Xue, Jimeng, Liling Xu, Hua Zhong, et al.. (2023). Impaired regulatory function of granzyme B-producing B cells against T cell inflammatory responses in lupus mice. Lupus Science & Medicine. 10(2). e000974–e000974. 3 indexed citations
7.
8.
Zhang, Zhongxiao, et al.. (2023). Transcriptomics profiling reveal the heterogeneity of white and brown adipocyte. Journal of Bioenergetics and Biomembranes. 55(6). 423–433. 1 indexed citations
9.
Bai, Mingxin, Liling Xu, Huaqun Zhu, et al.. (2021). Impaired granzyme B-producing regulatory B cells in systemic lupus erythematosus. Molecular Immunology. 140. 217–224. 11 indexed citations
10.
Xue, Jimeng, Liling Xu, Huaqun Zhu, et al.. (2020). CD14+CD16− monocytes are the main precursors of osteoclasts in rheumatoid arthritis via expressing Tyro3TK. Arthritis Research & Therapy. 22(1). 221–221. 31 indexed citations
11.
Shi, Lianjie, Fanlei Hu, Lei Zhu, et al.. (2020). CD70-mediated CD27 expression downregulation contributed to the regulatory B10 cell impairment in rheumatoid arthritis. Molecular Immunology. 119. 92–100. 7 indexed citations
12.
Hu, Fanlei, Wei Zhang, Lianjie Shi, et al.. (2018). Impaired CD27+IgD+ B Cells With Altered Gene Signature in Rheumatoid Arthritis. Frontiers in Immunology. 9. 626–626. 31 indexed citations
13.
Cui, Yong, Tao Zheng, Gong Yang, et al.. (2018). Diabetes Medication Use in Association with Survival among Patients of Breast, Colorectal, Lung, or Gastric Cancer. Cancer Research and Treatment. 51(2). 538–546. 38 indexed citations
14.
Xu, Liling, Fanlei Hu, Huaqun Zhu, et al.. (2017). Soluble TAM receptor tyrosine kinases in rheumatoid arthritis: correlation with disease activity and bone destruction. Clinical & Experimental Immunology. 192(1). 95–103. 24 indexed citations
15.
Xu, Liling, Xu Liu, Hongjiang Liu, et al.. (2017). Impairment of Granzyme B-Producing Regulatory B Cells Correlates with Exacerbated Rheumatoid Arthritis. Frontiers in Immunology. 8. 768–768. 44 indexed citations
16.
Hu, Fanlei, Hongjiang Liu, Xu Liu, et al.. (2017). Pathogenic conversion of regulatory B10 cells into osteoclast-priming cells in rheumatoid arthritis. Journal of Autoimmunity. 76. 53–62. 28 indexed citations
17.
Yi, Cong, Jingjing Tong, Yizheng Wang, et al.. (2017). Formation of a Snf1-Mec1-Atg1 Module on Mitochondria Governs Energy Deprivation-Induced Autophagy by Regulating Mitochondrial Respiration. Developmental Cell. 41(1). 59–71.e4. 61 indexed citations
18.
Zheng, Tao, Wei Xie, Liling Xu, et al.. (2016). A machine learning-based framework to identify type 2 diabetes through electronic health records. International Journal of Medical Informatics. 97. 120–127. 232 indexed citations
19.
Liu, Yanying, Shuhan Zhou, Li Zhang, et al.. (2015). [Analyses of 77 patients with hemophagocytic syndrome].. PubMed. 95(9). 681–4. 2 indexed citations
20.
Hu, Fanlei, Yingni Li, Zheng Li, et al.. (2014). Toll-Like Receptors Expressed by Synovial Fibroblasts Perpetuate Th1 and Th17 Cell Responses in Rheumatoid Arthritis. PLoS ONE. 9(6). e100266–e100266. 63 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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