Xiaoya Wang

778 total citations
35 papers, 620 citations indexed

About

Xiaoya Wang is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Xiaoya Wang has authored 35 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Immunology. Recurrent topics in Xiaoya Wang's work include Immune Cell Function and Interaction (6 papers), MicroRNA in disease regulation (5 papers) and T-cell and B-cell Immunology (5 papers). Xiaoya Wang is often cited by papers focused on Immune Cell Function and Interaction (6 papers), MicroRNA in disease regulation (5 papers) and T-cell and B-cell Immunology (5 papers). Xiaoya Wang collaborates with scholars based in China, Canada and United States. Xiaoya Wang's co-authors include Yong Sun, Li Jiang, Hua Xiong, Wei Yang, Yi Zhang, Hai Zhang, Yong Huang, Xuemei Zhu, Ningxiang Yu and Hui Liu and has published in prestigious journals such as Brain Research, Experimental Neurology and Food Research International.

In The Last Decade

Xiaoya Wang

33 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoya Wang China 15 340 138 84 73 48 35 620
Nuray Varol Türkiye 14 404 1.2× 131 0.9× 78 0.9× 54 0.7× 63 1.3× 31 766
Yanli Wang China 14 289 0.8× 130 0.9× 82 1.0× 33 0.5× 47 1.0× 41 670
Cho‐Won Kim South Korea 17 315 0.9× 89 0.6× 64 0.8× 96 1.3× 41 0.9× 43 669
Dong‐Gun Kim South Korea 14 256 0.8× 85 0.6× 78 0.9× 62 0.8× 32 0.7× 47 612
Zhenghua Sun China 14 509 1.5× 199 1.4× 51 0.6× 51 0.7× 37 0.8× 27 706
Xue Han China 16 355 1.0× 71 0.5× 88 1.0× 59 0.8× 30 0.6× 66 743
Xiaoliang Tong China 13 305 0.9× 87 0.6× 98 1.2× 58 0.8× 36 0.8× 33 773
Jun Shimizu Japan 17 387 1.1× 83 0.6× 69 0.8× 52 0.7× 62 1.3× 36 919
Wenjing Fan China 15 308 0.9× 76 0.6× 96 1.1× 48 0.7× 40 0.8× 48 589
Bei Zhou China 16 377 1.1× 212 1.5× 85 1.0× 50 0.7× 46 1.0× 30 608

Countries citing papers authored by Xiaoya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoya Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoya Wang. A scholar is included among the top collaborators of Xiaoya Wang 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 Xiaoya Wang. Xiaoya Wang 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.
Wang, Xiaoya, Han Y. H. Chen, Weifeng Zhu, et al.. (2025). Akebia trifoliata extracts attenuate liver injury via gut–liver axis in a murine model of nonalcoholic fatty liver disease with low-grade colitis. Food Research International. 208. 116202–116202. 3 indexed citations
2.
Wang, Xiaoya, Ruiyun Peng, & Li Zhao. (2024). Multiscale metabolomics techniques: Insights into neuroscience research. Neurobiology of Disease. 198. 106541–106541.
3.
Wei, Jing, Yuan Li, Fangzhou Jiao, et al.. (2024). DLGAP3 suppresses malignant behaviors of glioma cells via inhibiting RGS12-mediated MAPK/ERK signaling. Brain Research. 1848. 149334–149334.
4.
Gao, Yan, et al.. (2023). Effects of Aire on perforin expression in BMDCs via TLR7/8 and its therapeutic effect on type 1 diabetes. International Immunopharmacology. 117. 109890–109890. 3 indexed citations
5.
Li, Qiufang, et al.. (2023). Adipose Tissue Exosome circ_sxc Mediates the Modulatory of Adiposomes on Brain Aging by Inhibiting Brain dme-miR-87-3p. Molecular Neurobiology. 61(1). 224–238. 8 indexed citations
6.
Xu, Man, Yan Wang, Feifei Wang, et al.. (2023). Melatonin improves synapse development by PI3K/Akt signaling in a mouse model of autism spectrum disorder. Neural Regeneration Research. 19(7). 1618–1624. 7 indexed citations
7.
Xiao, Zhixin, et al.. (2023). Mitochondrial iron dyshomeostasis and its potential as a therapeutic target for Parkinson's disease. Experimental Neurology. 372. 114614–114614. 13 indexed citations
8.
Tang, Hui, Chuan Shao, Xiaoya Wang, et al.. (2022). 6-Gingerol attenuates subarachnoid hemorrhage-induced early brain injury via GBP2/PI3K/AKT pathway in the rat model. Frontiers in Pharmacology. 13. 882121–882121. 14 indexed citations
9.
Zhang, Jiahui, Rui Li, Hua Zhang, et al.. (2022). Flos Puerariae-Semen Hoveniae medicinal pair extract ameliorates DSS-induced inflammatory bowel disease through regulating MAPK signaling and modulating gut microbiota composition. Frontiers in Pharmacology. 13. 1034031–1034031. 15 indexed citations
10.
Wang, Juan, et al.. (2022). Extracellular Vesicles and Hepatocellular Carcinoma: Opportunities and Challenges. Frontiers in Oncology. 12. 884369–884369. 18 indexed citations
11.
Wang, Xiaoya, Chunying Shi, Xianglin Hou, et al.. (2022). Application of biomaterials and tissue engineering in bladder regeneration. Journal of Biomaterials Applications. 36(8). 1484–1502. 7 indexed citations
12.
13.
Wang, Xiaoya, et al.. (2021). LINC02308 promotes the progression of glioma through activating mTOR/AKT-signaling pathway by targeting miR-30e-3p/TM4SF1 axis. Cell Biology and Toxicology. 38(2). 223–236. 12 indexed citations
14.
Wang, Xiaoya, et al.. (2021). Overexpression of miR-149-5p Attenuates Cerebral Ischemia/Reperfusion (I/R) Injury by Targeting Notch2. NeuroMolecular Medicine. 24(3). 279–289. 9 indexed citations
15.
Meng, Zhaoyou, Xiaoya Wang, Dongmei Zhang, et al.. (2021). Steroid receptor coactivator-1: The central intermediator linking multiple signals and functions in the brain and spinal cord. Genes & Diseases. 9(5). 1281–1289. 7 indexed citations
16.
Zhang, Yi, et al.. (2021). Attenuate ICOSL and IL-27 in Aire-overexpressing DC2.4 cells suppress TFH cell differentiation. Immunobiology. 226(6). 152147–152147. 3 indexed citations
17.
Wang, Shuang, Yi Zhang, Xiaoya Wang, et al.. (2021). AIRE-overexpressing BMDCs suppress TFH cells through ICOSL to prevent and attenuate autoimmune diabetes in NOD mice. International Immunopharmacology. 99. 107979–107979. 8 indexed citations
18.
Zhang, Yi, et al.. (2020). The role of follicular T helper cells in the onset and treatment of type 1 diabetes. International Immunopharmacology. 84. 106499–106499. 6 indexed citations
19.
Wang, Xiaoya, Sanhua Wei, Yong Zhao, et al.. (2016). Anti-proliferation of breast cancer cells with itraconazole: Hedgehog pathway inhibition induces apoptosis and autophagic cell death. Cancer Letters. 385. 128–136. 93 indexed citations
20.
Wang, Xiaoya. (2015). Construction of the 16S rDNA Clone Library of Intestinal Flora of the Captive Elderly Giant Panda. 2 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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