Xiaoying Yang

2.2k total citations
64 papers, 1.7k citations indexed

About

Xiaoying Yang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Xiaoying Yang has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Surgery. Recurrent topics in Xiaoying Yang's work include Bone Metabolism and Diseases (7 papers), Lipoproteins and Cardiovascular Health (3 papers) and Scheduling and Optimization Algorithms (3 papers). Xiaoying Yang is often cited by papers focused on Bone Metabolism and Diseases (7 papers), Lipoproteins and Cardiovascular Health (3 papers) and Scheduling and Optimization Algorithms (3 papers). Xiaoying Yang collaborates with scholars based in China, United States and Italy. Xiaoying Yang's co-authors include M. Neale Weitzmann, Roberto Pacifici, Masakazu Terauchi, Francesco Grassi, Yuhao Gao, Hongying Zhang, Aimin Li, Gianluca Toraldo, Yan Li and Weiping Qian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Xiaoying Yang

60 papers receiving 1.6k citations

Peers

Xiaoying Yang

ONCOL

IMMUN

OSM

RHEUM

Linda Gilbert United States

Haiyang Huang China

Yoshiaki Kariya Japan

Brian J. Wilson United States

Dong‐Guk Shin United States

Jeffrey S. Haug United States

Ulrich Betz Germany

Axel Szabowski Germany

Linda Gilbert United States

Xiaoying Yang

841 ×0.9

361 ×0.8

ONCOL

132 ×0.4

IMMUN

278 ×0.9

OSM

259 ×1.6

RHEUM

Citations per year, relative to Xiaoying Yang Xiaoying Yang (= 1×) peers Linda Gilbert

Countries citing papers authored by Xiaoying Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoying Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Yang. A scholar is included among the top collaborators of Xiaoying Yang 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 Xiaoying Yang. Xiaoying Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zeng, Xiang‐Yu, Chang Liu, Xiaoying Yang, et al.. (2025). Chloroplast genome characterization and divergence time estimation of Persicaria capitata. 5(1). 89–102. 3 indexed citations

Han, Jiajun, Xiaoying Yang, Tao Ji, et al.. (2024). MORN motif‐containing protein OsMORN1 and OsMORN2 are crucial for rice pollen viability and cold tolerance. The Plant Journal. 119(2). 998–1013. 2 indexed citations

Xu, Zhibin, Lingfeng You, Xiaoying Yang, et al.. (2024). Abstract 3145: HRA00242-C004, a novel anti-PSMA ADC with high DAR reveals potent in vitro and in vivo anti-tumor efficacy. Cancer Research. 84(6_Supplement). 3145–3145. 1 indexed citations

Dai, Xiaoyong, et al.. (2024). Short-peptide-based enteral nutrition affects rats MDP translocation and protects against gut-lung injury via the PepT1-NOD2-beclin-1 pathway in vivo. Molecular Biology Reports. 51(1). 891–891.

Ye, Wenjie, Yan Liu, Yilin Wang, et al.. (2023). Enhancing the Activity of an Alcohol Dehydrogenase by Using “Aromatic Residue Scanning” at Potential Plasticity Sites. Chemistry - A European Journal. 29(25). e202203530–e202203530. 5 indexed citations

Yang, Xiaoying, et al.. (2022). Seasonal expressions of GPR41 and GPR43 in the colon of the wild ground squirrels (<em>Spermophilus dauricus</em>). European Journal of Histochemistry. 66(1). 5 indexed citations

Jiang, Bowen, Ting Cai, Xiaoying Yang, et al.. (2022). Comparative transcriptome analysis reveals significant differences in gene expression between pathogens of apple Glomerella leaf spot and apple bitter rot. BMC Genomics. 23(1). 246–246. 7 indexed citations

Chakrabarti, Arindam, Jordan S. Mar, David F. Choy, et al.. (2021). High serum granulocyte-colony stimulating factor characterises neutrophilic COPD exacerbations associated with dysbiosis. ERJ Open Research. 7(3). 836–2020. 6 indexed citations

Yang, Xiaoying, Kaili Zhu, Xiyun Song, et al.. (2020). Constitutive expression of aldose reductase 1 from Zea mays exacerbates salt and drought sensitivity of transgenic Escherichia coli and Arabidopsis. Plant Physiology and Biochemistry. 156. 436–444. 6 indexed citations

10.

Zhang, Ziwen, Xiaoying Yang, Haolin Zhang, et al.. (2020). Seasonal expressions of SPAG11A and androgen receptor in the epididymis of the wild ground squirrels (<em>Citellus dauricus</em> Brandt). European Journal of Histochemistry. 64(2). 5 indexed citations

11.

Yang, Xiaoying, et al.. (2019). Large-conductance calcium-activated potassium channels mediate lipopolysaccharide-induced activation of murine microglia. Journal of Biological Chemistry. 294(35). 12921–12932. 18 indexed citations

12.

Yang, Xiaoying, et al.. (2017). The Role of BK Channel in Microglia Activation. Biophysical Journal. 112(3). 548a–548a. 1 indexed citations

13.

Liu, Ling-yun, et al.. (2017). The association of lipid metabolism relative gene polymorphisms and ischemic stroke in Han and Uighur population of Xinjiang. Lipids in Health and Disease. 16(1). 120–120. 13 indexed citations

14.

Liu, Tianya, Xiaoying Yang, Long Tai Zheng, Guanghui Wang, & Xuechu Zhen. (2016). Activation of Nur77 in microglia attenuates proinflammatory mediators production and protects dopaminergic neurons from inflammation‐induced cell death. Journal of Neurochemistry. 140(4). 589–604. 35 indexed citations

15.

Zhang, Huijun, et al.. (2016). Gene Polymorphisms Affect the Effectiveness of Atorvastatin in Treating Ischemic Stroke Patients. Cellular Physiology and Biochemistry. 39(2). 630–638. 28 indexed citations

16.

Su, Huanxing, Lihui Wang, Jinglei Cai, et al.. (2013). Transplanted motoneurons derived from human induced pluripotent stem cells form functional connections with target muscle. Stem Cell Research. 11(1). 529–539. 15 indexed citations

17.

Yang, Xiaoying, Yu Luo, Xin Li, et al.. (2011). Synthesis and Immunomodulating Activity of New Analogues of Fingolimod. Archiv der Pharmazie. 345(2). 93–100. 2 indexed citations

18.

Gao, Yuhao, Xiaojun Wu, Masakazu Terauchi, et al.. (2008). T Cells Potentiate PTH-Induced Cortical Bone Loss through CD40L Signaling. Cell Metabolism. 8(2). 132–145. 95 indexed citations

19.

Gao, Yuhao, Francesco Grassi, Masakazu Terauchi, et al.. (2006). IFN-γ stimulates osteoclast formation and bone loss in vivo via antigen-driven T cell activation. Journal of Clinical Investigation. 117(1). 122–132. 358 indexed citations

20.

Li, Yan, Aimin Li, Xiaoying Yang, & M. Neale Weitzmann. (2006). Ovariectomy‐induced bone loss occurs independently of B cells. Journal of Cellular Biochemistry. 100(6). 1370–1375. 39 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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