Ying Xia

623 total citations
20 papers, 434 citations indexed

About

Ying Xia is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ying Xia has authored 20 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ying Xia's work include MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Extracellular vesicles in disease (3 papers). Ying Xia is often cited by papers focused on MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers) and Extracellular vesicles in disease (3 papers). Ying Xia collaborates with scholars based in China, Japan and United States. Ying Xia's co-authors include Richard Baer, Michael J. Siciliano, Xuan Wang, J. Lesley Brown, R Espinosa, Michelle M. Le Beau, E Bai, Guihua Jin, Lijuan Wang and Chenchen He and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

In The Last Decade

Ying Xia

18 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Xia China 9 285 95 82 70 60 20 434
Seyedmehdi Shojaee United States 7 240 0.8× 47 0.5× 56 0.7× 19 0.3× 62 1.0× 13 508
M. Victoria Simón Argentina 10 362 1.3× 32 0.3× 26 0.3× 27 0.4× 57 0.9× 12 495
Colin Carlock United States 10 232 0.8× 104 1.1× 56 0.7× 22 0.3× 17 0.3× 16 463
Sophie Kusy France 11 453 1.6× 60 0.6× 90 1.1× 25 0.4× 45 0.8× 14 602
Janani Sundaresan United States 7 293 1.0× 22 0.2× 58 0.7× 13 0.2× 83 1.4× 12 445
Kulwant Singh Canada 8 510 1.8× 37 0.4× 75 0.9× 20 0.3× 31 0.5× 14 612
Andrew S. Gilder United States 13 276 1.0× 57 0.6× 147 1.8× 9 0.1× 48 0.8× 16 517
Michael S. Lam United States 9 152 0.5× 53 0.6× 103 1.3× 8 0.1× 38 0.6× 13 365
Carol B. Martin United States 10 224 0.8× 45 0.5× 46 0.6× 8 0.1× 51 0.8× 12 384
Anthony C.B. Lim Singapore 7 309 1.1× 99 1.0× 62 0.8× 10 0.1× 28 0.5× 8 396

Countries citing papers authored by Ying Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Xia. A scholar is included among the top collaborators of Ying Xia 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 Ying Xia. Ying Xia 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
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Ma, Yanan, Xiqi Hu, Kenji Karako, et al.. (2025). The potential and challenges of TREM2-targeted therapy in Alzheimer’s disease: insights from the INVOKE-2 study. Frontiers in Aging Neuroscience. 17. 1576020–1576020. 6 indexed citations
4.
Ma, Yanan, Ying Xia, Kenji Karako, et al.. (2025). Decoding Alzheimer’s Disease: Single-Cell Sequencing Uncovers Brain Cell Heterogeneity and Pathogenesis. Molecular Neurobiology. 62(11). 14459–14473.
5.
Li, You, Jiameng Li, Siliang Liu, et al.. (2025). Exosome‐Derived CDC42 From Hypoxia‐Pretreated Neural Stem Cells Inhibits ACSL4‐Related Ferroptosis to Alleviate Vascular Injury in Parkinson's Disease Mice Models. Journal of Neurochemistry. 169(3). e70027–e70027. 6 indexed citations
6.
Ma, Yanan, Kenji Karako, Peipei Song, Xiqi Hu, & Ying Xia. (2025). Integrative neurorehabilitation using brain-computer interface: From motor function to mental health after stroke. BioScience Trends. 19(3). 243–251. 1 indexed citations
7.
Ma, Yanan, Xiqi Hu, Kenji Karako, et al.. (2024). Agarwood as a potential therapeutic for Alzheimer's disease: Mechanistic insights and target identification. Drug Discoveries & Therapeutics. 18(6). 375–386. 1 indexed citations
8.
Ma, Yanan, Xiqi Hu, Kenji Karako, et al.. (2024). Exploring the multiple therapeutic mechanisms and challenges of mesenchymal stem cell-derived exosomes in Alzheimer's disease. BioScience Trends. 18(5). 413–430. 8 indexed citations
9.
Ma, Yanan, Ying Xia, Kenji Karako, Peipei Song, & Xiqi Hu. (2024). Extrachromosomal DNA: Molecular perspectives in aging and neurodegenerative diseases. Intractable & Rare Diseases Research. 13(4). 251–254. 1 indexed citations
10.
Tang, Jian, Yu Chen, Ying Xia, et al.. (2024). The role of mesenchymal stem cells in cancer and prospects for their use in cancer therapeutics. SHILAP Revista de lepidopterología. 5(8). e663–e663. 9 indexed citations
11.
Hu, Xiqi, et al.. (2023). A circadian rhythm-restricted diet regulates autophagy to improve cognitive function and prolong lifespan. BioScience Trends. 17(5). 356–368. 11 indexed citations
12.
Liu, Hui, et al.. (2023). Transplantation of Neural Stem Cells-Overexpressed Ku70 Improves Neurological Deficits in a Mice Model of Cerebral Ischemia Stroke. Neurochemical Research. 49(3). 718–731. 5 indexed citations
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Yu, Zhengtao, Yan Liu, You Li, et al.. (2021). miRNA-338-3p inhibits glioma cell proliferation and progression by targeting MYT1L. Brain Research Bulletin. 179. 1–12. 15 indexed citations
15.
Zhuo, Yi, Lei Wang, Lite Ge, et al.. (2017). Hypoxic Culture Promotes Dopaminergic-Neuronal Differentiation of Nasal Olfactory Mucosa Mesenchymal Stem Cells via Upregulation of Hypoxia-Inducible Factor-1α. Cell Transplantation. 26(8). 1452–1461. 19 indexed citations
16.
Wang, Xuan & Ying Xia. (2016). microRNA-328 inhibits cervical cancer cell proliferation and tumorigenesis by targeting TCF7L2. Biochemical and Biophysical Research Communications. 475(2). 169–175. 38 indexed citations
17.
Bai, E, Guihua Jin, Chenchen He, et al.. (2014). Expression and Clinical Significance of YAP, TAZ, and AREG in Hepatocellular Carcinoma. Journal of Immunology Research. 2014. 1–10. 106 indexed citations
18.
Xia, Ying, et al.. (2011). Co–transplantation of macaque autologous Schwann cells and human embryonic nerve stem cells in treatment of macaque Parkinson's disease. Asian Pacific Journal of Tropical Medicine. 5(1). 7–14. 8 indexed citations
19.
Xia, Ying, et al.. (1992). The translocation (1;14)(p34;q11) in human t‐cell leukemia: Chromosome breakage 25 kilobase pairs downstream of the tal1 protooncogene. Genes Chromosomes and Cancer. 4(3). 211–216. 12 indexed citations
20.
Xia, Ying, J. Lesley Brown, Michael J. Siciliano, et al.. (1991). TAL2, a helix-loop-helix gene activated by the (7;9)(q34;q32) translocation in human T-cell leukemia.. Proceedings of the National Academy of Sciences. 88(24). 11416–11420. 147 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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