Jinxia Yuan

1.1k total citations
11 papers, 763 citations indexed

About

Jinxia Yuan is a scholar working on Cancer Research, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Jinxia Yuan has authored 11 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Jinxia Yuan's work include MicroRNA in disease regulation (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Circular RNAs in diseases (3 papers). Jinxia Yuan is often cited by papers focused on MicroRNA in disease regulation (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Circular RNAs in diseases (3 papers). Jinxia Yuan collaborates with scholars based in China and Bangladesh. Jinxia Yuan's co-authors include Qiaowei Jia, En‐Zhi Jia, Chenhui Zhao, Yaqing Zhou, Shu He, Lei Hua, Yi Guo, Jing Zhang, Sheng Zhang and Can Hou and has published in prestigious journals such as Journal of Medical Virology, International Journal of Oncology and Cellular Physiology and Biochemistry.

In The Last Decade

Jinxia Yuan

11 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinxia Yuan China 8 244 242 173 149 122 11 763
Qiaowei Jia China 10 245 1.0× 277 1.1× 173 1.0× 201 1.3× 122 1.0× 25 833
Chenhui Zhao China 15 248 1.0× 385 1.6× 173 1.0× 199 1.3× 126 1.0× 47 1.0k
Lei Hua China 8 296 1.2× 146 0.6× 173 1.0× 38 0.3× 122 1.0× 25 652
Aman Xu China 16 152 0.6× 343 1.4× 105 0.6× 235 1.6× 31 0.3× 35 985
Michela Biancolella Italy 17 316 1.3× 647 2.7× 25 0.1× 101 0.7× 104 0.9× 36 1.2k
Jun She China 15 154 0.6× 315 1.3× 57 0.3× 138 0.9× 52 0.4× 26 989
Hubert Martin Germany 8 168 0.7× 163 0.7× 35 0.2× 90 0.6× 115 0.9× 14 513
Sipeng Shen China 17 66 0.3× 388 1.6× 78 0.5× 238 1.6× 17 0.1× 67 1.0k

Countries citing papers authored by Jinxia Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jinxia Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinxia Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinxia Yuan. A scholar is included among the top collaborators of Jinxia Yuan 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 Jinxia Yuan. Jinxia Yuan 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.
Zhou, Yaqing, Tao Han, Jiaxin Chen, et al.. (2020). Clinical and Autoimmune Characteristics of Severe and Critical Cases of COVID‐19. Clinical and Translational Science. 13(6). 1077–1086. 221 indexed citations
2.
Han, Tao, Lei Hua, Shu He, et al.. (2020). The epidemiological characteristics of cluster transmission of coronavirus disease 2019 (COVID-19): a multi-center study in Jiangsu Province.. PubMed. 12(10). 6434–6444. 3 indexed citations
3.
Hua, Lei, Jinxia Yuan, Shu He, et al.. (2020). Analysis on the polymorphisms of site RS4977574, and RS1333045 in region 9p21 and the susceptibility of coronary heart disease in Chinese population. BMC Medical Genetics. 21(1). 36–36. 7 indexed citations
4.
Hou, Can, Jiaxin Chen, Yaqing Zhou, et al.. (2020). The effectiveness of quarantine of Wuhan city against the Corona Virus Disease 2019 (COVID‐19): A well‐mixed SEIR model analysis. Journal of Medical Virology. 92(7). 841–848. 232 indexed citations
5.
Hua, Lei, Qiaowei Jia, Jing Zhang, et al.. (2020). Quantitative proteomics reveals the regulatory networks of circular RNA BTBD7_hsa_circ_0000563 in human coronary artery. Journal of Clinical Laboratory Analysis. 34(11). e23495–e23495. 10 indexed citations
6.
Zhou, Yaqing, Jinxia Yuan, Jiaxin Chen, et al.. (2020). Proteomic landscape of human coronary artery atherosclerosis. International Journal of Molecular Medicine. 46(1). 371–383. 8 indexed citations
7.
Pan, Ren‐You, Jinxia Yuan, Mingyue Ji, et al.. (2019). The Landscape of Circular RNA in Coronary Artery Disease. SSRN Electronic Journal. 1 indexed citations
8.
Pan, Ren‐You, Chenhui Zhao, Jinxia Yuan, et al.. (2019). Circular RNA profile in coronary artery disease.. PubMed. 11(11). 7115–7125. 28 indexed citations
9.
Yuan, Jinxia, Hongtao Chen, Dawei Ge, et al.. (2017). Mir-21 Promotes Cardiac Fibrosis After Myocardial Infarction Via Targeting Smad7. Cellular Physiology and Biochemistry. 42(6). 2207–2219. 175 indexed citations
10.
Wang, Xue, Jiaojiao Deng, Jinxia Yuan, et al.. (2017). Curcumin exerts its tumor suppressive function via inhibition of NEDD4 oncoprotein in glioma cancer cells. International Journal of Oncology. 51(2). 467–477. 53 indexed citations
11.
Yang, Lei, Yingbin Ge, Jian Tang, et al.. (2015). Schwann Cells Transplantation Improves Locomotor Recovery in Rat Models with Spinal Cord Injury: a Systematic Review and Meta-Analysis. Cellular Physiology and Biochemistry. 37(6). 2171–2182. 25 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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