Jingxia Yu

513 total citations
11 papers, 394 citations indexed

About

Jingxia Yu is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Jingxia Yu has authored 11 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Jingxia Yu's work include Mesenchymal stem cell research (6 papers), Circular RNAs in diseases (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Jingxia Yu is often cited by papers focused on Mesenchymal stem cell research (6 papers), Circular RNAs in diseases (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). Jingxia Yu collaborates with scholars based in China, United States and United Kingdom. Jingxia Yu's co-authors include Wenbin Liao, Weian Zhao, Zhongchao Han, Mark A. Eckert, Quynh Vu, Steven C. Cramer, Kate Xie, Yong-Jun Liu, Jie Xu and Lei Du and has published in prestigious journals such as Journal of Cerebral Blood Flow & Metabolism, Cancer Letters and Cell and Tissue Research.

In The Last Decade

Jingxia Yu

11 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingxia Yu China 8 224 144 93 58 56 11 394
Lite Ge China 13 163 0.7× 263 1.8× 62 0.7× 35 0.6× 81 1.4× 30 517
Quynh Vu United States 10 249 1.1× 151 1.0× 51 0.5× 51 0.9× 62 1.1× 10 515
Paola Suárez-Meade United States 11 228 1.0× 109 0.8× 59 0.6× 78 1.3× 19 0.3× 34 466
Silvia Snider Italy 9 126 0.6× 62 0.4× 56 0.6× 56 1.0× 108 1.9× 26 333
Nagwa S. El‐Badri United States 12 231 1.0× 146 1.0× 110 1.2× 40 0.7× 51 0.9× 24 520
Qi Hao China 11 189 0.8× 171 1.2× 105 1.1× 116 2.0× 42 0.8× 24 566
Masahiro Tawada Japan 6 178 0.8× 117 0.8× 105 1.1× 41 0.7× 59 1.1× 18 344
Cungang Fan China 8 169 0.8× 126 0.9× 112 1.2× 27 0.5× 35 0.6× 17 379
Ana Paiva Portugal 14 114 0.5× 230 1.6× 61 0.7× 57 1.0× 65 1.2× 31 622
Masaaki Kohta Japan 12 100 0.4× 211 1.5× 63 0.7× 73 1.3× 24 0.4× 48 533

Countries citing papers authored by Jingxia Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jingxia Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingxia Yu

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

All Works

11 of 11 papers shown
1.
Chen, Dandan, et al.. (2023). Celastrol activates mitochondrial autophagy through Nur77-TRAF2-p62/SQSTM1 pathway in the treatment of experimental colitis. Minerva Pediatrics. 75(5). 760–762. 2 indexed citations
2.
Yu, Jingxia, et al.. (2023). The dynamic relationship between resources, finances, and sustainable development: An in-depth analysis. Resources Policy. 86. 104074–104074. 2 indexed citations
3.
Liu, Linan, Guangyang Liu, Jingxia Yu, et al.. (2020). Preclinical Evaluation of a Single Intravenous Infusion of hUC-MSC (BX-U001) in Rheumatoid Arthritis. Cell Transplantation. 29. 2790876237–2790876237. 11 indexed citations
4.
Alexander, Michael P., Guangyang Liu, Wenbin Liao, et al.. (2019). Transplantation of stem cells from umbilical cord blood as therapy for type I diabetes. Cell and Tissue Research. 378(2). 155–162. 25 indexed citations
5.
Xu, Mingyi, Rong Chen, Jingxia Yu, et al.. (2016). AZGP1 suppresses epithelial-to-mesenchymal transition and hepatic carcinogenesis by blocking TGFβ1-ERK2 pathways. Cancer Letters. 374(2). 241–249. 38 indexed citations
6.
Li, Fei, et al.. (2015). FOXP1 and SPINK1 reflect the risk of cirrhosis progression to HCC with HBV infection. Biomedicine & Pharmacotherapy. 72. 103–108. 16 indexed citations
7.
Liao, Wenbin, Nick Huang, Jingxia Yu, et al.. (2015). Direct Conversion of Cord Blood CD34+ Cells Into Neural Stem Cells by OCT4. Stem Cells Translational Medicine. 4(7). 755–763. 20 indexed citations
8.
Eckert, Mark A., Quynh Vu, Kate Xie, et al.. (2013). Evidence for High Translational Potential of Mesenchymal Stromal Cell Therapy to Improve Recovery from Ischemic Stroke. Journal of Cerebral Blood Flow & Metabolism. 33(9). 1322–1334. 100 indexed citations
10.
Yu, Jingxia, Jun Sun, Jiming Wang, et al.. (2011). [Umbilical cord mesenchymal stem cell transplantation for treatment of experimental autoimmune myasthenia gravis in rats].. PubMed. 19(3). 744–8. 1 indexed citations
11.
Liao, Wenbin, Jian Zhong, Jingxia Yu, et al.. (2009). Therapeutic Benefit of Human Umbilical Cord Derived Mesenchymal Stromal Cells in Intracerebral Hemorrhage Rat: Implications of Anti-inflammation and Angiogenesis. Cellular Physiology and Biochemistry. 24(3-4). 307–316. 102 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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