Xiaoyun Xie

2.9k total citations · 1 hit paper
85 papers, 2.4k citations indexed

About

Xiaoyun Xie is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Xiaoyun Xie has authored 85 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 18 papers in Surgery and 14 papers in Genetics. Recurrent topics in Xiaoyun Xie's work include Mesenchymal stem cell research (14 papers), Angiogenesis and VEGF in Cancer (12 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). Xiaoyun Xie is often cited by papers focused on Mesenchymal stem cell research (14 papers), Angiogenesis and VEGF in Cancer (12 papers) and Electrospun Nanofibers in Biomedical Applications (9 papers). Xiaoyun Xie collaborates with scholars based in China, United States and Australia. Xiaoyun Xie's co-authors include Weizhong Yuan, Maoquan Li, Ligong Lu, Weishuai Lian, Haijun Zhang, Shilong Han, Xue Li, Rongfeng Shi, Yanyi Xu and Jianjun Guan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemical Communications.

In The Last Decade

Xiaoyun Xie

82 papers receiving 2.4k citations

Hit Papers

Exosomes from adipose-derived stem cells overexpressing N... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyun Xie China 27 838 407 400 381 366 85 2.4k
Tao Yu China 28 1.3k 1.6× 360 0.9× 216 0.5× 266 0.7× 218 0.6× 114 3.0k
Zhenguo Liu United States 26 710 0.8× 521 1.3× 367 0.9× 270 0.7× 67 0.2× 82 2.3k
Xiao Chen China 37 1.7k 2.0× 905 2.2× 582 1.5× 386 1.0× 157 0.4× 93 4.0k
Dong Suk Yoon South Korea 26 728 0.9× 396 1.0× 304 0.8× 294 0.8× 185 0.5× 44 1.8k
Qunwei Zhang United States 35 1.2k 1.4× 287 0.7× 362 0.9× 220 0.6× 85 0.2× 119 3.4k
Shahram Rabbani Iran 23 547 0.7× 498 1.2× 503 1.3× 790 2.1× 270 0.7× 89 2.1k
Yuuki Shimizu Japan 28 680 0.8× 244 0.6× 653 1.6× 389 1.0× 101 0.3× 116 2.4k
Guihua Liu China 25 727 0.9× 201 0.5× 1.0k 2.6× 314 0.8× 67 0.2× 83 2.1k
Mingxiao Hou China 27 702 0.8× 165 0.4× 295 0.7× 266 0.7× 173 0.5× 85 2.0k
Hsi‐Chin Wu Taiwan 26 664 0.8× 324 0.8× 444 1.1× 291 0.8× 62 0.2× 87 2.2k

Countries citing papers authored by Xiaoyun Xie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyun Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyun Xie. A scholar is included among the top collaborators of Xiaoyun Xie 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 Xiaoyun Xie. Xiaoyun Xie 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.
Ning, Yujie, Qinqin Wang, Lina Liu, et al.. (2025). Hederasaponin C ameliorates chronic obstructive pulmonary disease pathogenesis by targeting TLR4 to inhibit NF-κB/MAPK signaling pathways. Chinese Medicine. 20(1). 104–104. 1 indexed citations
2.
Xie, Xiaoyun & Rong Chen. (2025). Research progress of MRI-based radiomics in hepatocellular carcinoma. Frontiers in Oncology. 15. 1420599–1420599.
5.
Liu, Yang, et al.. (2024). Correlation between Neutrophil‐to‐Lymphocyte Ratio and Diabetic Neuropathy in Chinese Adults with Type 2 Diabetes Mellitus Using Machine Learning Methods. International Journal of Endocrinology. 2024(1). 7044644–7044644. 1 indexed citations
6.
Zhao, Zhenyu, Yin Zhang, Meng Chen, et al.. (2024). Tissue‐Penetrating Ultrasound‐Triggered Hydrogel for Promoting Microvascular Network Reconstruction. Advanced Science. 11(23). e2401368–e2401368. 7 indexed citations
7.
Xie, Xiaoyun, et al.. (2023). Latent Profile Analysis of Fear of Hypoglycemia in Middle-Aged and Elderly Hospitalized Patients with Type 2 Diabetes and Its Relationship with Sleep Quality. Diabetes Metabolic Syndrome and Obesity. Volume 16. 3641–3654. 1 indexed citations
8.
Zheng, Shaoqiu, Yang Liu, Peng Guo, et al.. (2023). Human umbilical cord mesenchymal stem cell-derived exosomes promote microcirculation in aged diabetic mice by TGF-β1 signaling pathway. Diabetology & Metabolic Syndrome. 15(1). 234–234. 5 indexed citations
9.
Zhou, Xi, Junbo Li, Jin Wang, et al.. (2023). Lin28 promoting the protective effect of PMSCs on hepatic ischaemia–reperfusion injury by regulating glucose metabolism. Journal of Cellular and Molecular Medicine. 27(10). 1384–1397. 5 indexed citations
10.
Shen, Liangliang, et al.. (2021). The Therapeutic Effects of Exosomes Derived from Human Umbilical Cord Mesenchymal Stem Cells on Scleroderma. Tissue Engineering and Regenerative Medicine. 19(1). 141–150. 14 indexed citations
11.
Yu, Liming, Luying Zhu, Hua He, et al.. (2020). Cytokines Induce Monkey Neural Stem Cell Differentiation through Notch Signaling. BioMed Research International. 2020(1). 1308526–1308526. 12 indexed citations
12.
Gao, Xiaoyan, Yiheng Dai, Dazhi Fan, et al.. (2020). The association between the microbes in the tracheobronchial aspirate fluid and bronchopulmonary dysplasia in preterm infants. Pediatrics & Neonatology. 61(3). 306–310. 3 indexed citations
13.
Xu, Yanyi, Wanjun Wang, Minjie Chen, et al.. (2019). Developmental programming of obesity by maternal exposure to concentrated ambient PM2.5 is maternally transmitted into the third generation in a mouse model. Particle and Fibre Toxicology. 16(1). 27–27. 23 indexed citations
14.
Xu, Yanyi, Ji Zhou, Minjie Chen, et al.. (2019). Metabolomics analysis of a mouse model for chronic exposure to ambient PM2.5. Environmental Pollution. 247. 953–963. 50 indexed citations
15.
He, Rong, et al.. (2017). Comprehensive investigation of aberrant microRNAs expression in cells culture model of MnCl2-induced neurodegenerative disease. Biochemical and Biophysical Research Communications. 486(2). 342–348. 21 indexed citations
17.
Ying, Zhekang, Xiaoyun Xie, Yuntao Bai, et al.. (2015). Exposure to concentrated ambient particulate matter induces reversible increase of heart weight in spontaneously hypertensive rats. Particle and Fibre Toxicology. 12(1). 15–15. 37 indexed citations
18.
Cui, Yuqi, Jianfeng He, Xiaoyun Xie, et al.. (2015). Ambient Fine Particulate Matter Suppresses In Vivo Proliferation of Bone Marrow Stem Cells through Reactive Oxygen Species Formation. PLoS ONE. 10(6). e0127309–e0127309. 30 indexed citations
19.
Xiao, Yuan, Xin Li, Yuqi Cui, et al.. (2014). Hydrogen peroxide inhibits proliferation and endothelial differentiation of bone marrow stem cells partially via reactive oxygen species generation. Life Sciences. 112(1-2). 33–40. 33 indexed citations
20.
Zhang, Bo, T. M. Ayodele Adesanya, Li Zhang, et al.. (2014). Delivery of Placenta-Derived Mesenchymal Stem Cells Ameliorates Ischemia Induced Limb Injury by Immunomodulation. Cellular Physiology and Biochemistry. 34(6). 1998–2006. 18 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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