Yuan Xie

2.1k total citations
49 papers, 1.5k citations indexed

About

Yuan Xie is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Yuan Xie has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Epidemiology. Recurrent topics in Yuan Xie's work include Cerebrovascular and Carotid Artery Diseases (10 papers), Acute Ischemic Stroke Management (8 papers) and Cancer-related molecular mechanisms research (6 papers). Yuan Xie is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (10 papers), Acute Ischemic Stroke Management (8 papers) and Cancer-related molecular mechanisms research (6 papers). Yuan Xie collaborates with scholars based in China, United States and Switzerland. Yuan Xie's co-authors include Sharon P. Wilczynski, I. Benjamin Paz, Tamara Odom‐Maryon, Greg Zaharchuk, Bryan Lin, Max Wintermark, Guangming Zhu, Enhao Gong, Jiahong Xu and Bin Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Stroke.

In The Last Decade

Yuan Xie

45 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan Xie China 18 503 391 378 275 229 49 1.5k
Jacob New United States 12 251 0.5× 181 0.5× 393 1.0× 198 0.7× 168 0.7× 25 1.2k
Yu-Jie Huang Taiwan 21 298 0.6× 261 0.7× 118 0.3× 424 1.5× 138 0.6× 68 1.5k
Markus Brunner Austria 24 318 0.6× 184 0.5× 405 1.1× 301 1.1× 82 0.4× 80 1.7k
Hui‐Chun Chen Taiwan 26 222 0.4× 199 0.5× 187 0.5× 1.1k 4.1× 113 0.5× 59 2.0k
Yin Yao China 24 307 0.6× 411 1.1× 340 0.9× 236 0.9× 79 0.3× 77 1.8k
Chong Wang China 21 126 0.3× 140 0.4× 404 1.1× 260 0.9× 84 0.4× 69 1.4k
Bing Yan China 21 112 0.2× 215 0.5× 385 1.0× 209 0.8× 212 0.9× 128 1.5k
Dan Song China 21 270 0.5× 94 0.2× 360 1.0× 297 1.1× 239 1.0× 97 1.4k
Hui Yuan China 23 180 0.4× 55 0.1× 483 1.3× 480 1.7× 278 1.2× 134 1.8k

Countries citing papers authored by Yuan Xie

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Xie. A scholar is included among the top collaborators of Yuan Xie 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 Yuan Xie. Yuan Xie 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.
Xie, Yuan, et al.. (2025). Dissecting real-world memory clinical cohort heterogeneity: analysis of neuroanatomical subtypes using HYDRA. Alzheimer s Research & Therapy. 17(1). 215–215.
2.
Peng, Xi, Yuan Xie, Feifei Huang, Yang Liu, & Jiahong Xu. (2024). Influence of Trichosanthes pericarpium extract on improving microcirculation and outcomes of patients with acute myocardial infarction after percutaneous coronary intervention. Frontiers in Cardiovascular Medicine. 10. 1126573–1126573.
4.
Yu, Yannan, Yuan Xie, Enhao Gong, et al.. (2021). Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke. American Journal of Neuroradiology. 42(6). 1030–1037. 24 indexed citations
5.
Tang, Chun Xiang, Xiao Lei Zhang, Sui Chen, et al.. (2021). Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality. European Journal of Radiology. 142. 109835–109835. 33 indexed citations
6.
Yao, Jianhua, et al.. (2020). Prediction Factors of 6-Month Poor Prognosis in Acute Myocardial Infarction Patients. Frontiers in Cardiovascular Medicine. 7. 130–130. 8 indexed citations
7.
Liu, Tao, et al.. (2020). FoxF1 protects rats from paraquat-evoked lung injury following HDAC2 inhibition via the microRNA-342/KLF5/IκB/NF-κB p65 axis. Experimental Cell Research. 395(2). 112208–112208. 14 indexed citations
8.
Zhu, Guangming, Bin Jiang, Hui Chen, et al.. (2020). Artificial Intelligence and Stroke Imaging. Neuroimaging Clinics of North America. 30(4). 479–492. 9 indexed citations
9.
Bei, Yihua, Qiulian Zhou, Cuimei Zhao, et al.. (2019). Cathelicidin-related antimicrobial peptide protects against myocardial ischemia/reperfusion injury. BMC Medicine. 17(1). 42–42. 66 indexed citations
10.
Li, Pengfei, Zhuyuan Liu, Yuan Xie, et al.. (2018). Serum Exosomes Attenuate H2O2-Induced Apoptosis in Rat H9C2 Cardiomyocytes via ERK1/2. Journal of Cardiovascular Translational Research. 12(1). 37–44. 16 indexed citations
11.
Liu, Zhuyuan, Zhongrong Zhang, Jianhua Yao, et al.. (2018). Serum extracellular vesicles promote proliferation of H9C2 cardiomyocytes by increasing miR-17-3p. Biochemical and Biophysical Research Communications. 499(3). 441–446. 16 indexed citations
12.
Xie, Yuan, Bin Jiang, Enhao Gong, et al.. (2018). Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information. American Journal of Roentgenology. 212(1). 44–51. 87 indexed citations
13.
Liu, Xiaoxue, Jianrui Li, Qiang Xu, et al.. (2018). Pathological factors contributing to crossed cerebellar diaschisis in cerebral gliomas: a study combining perfusion, diffusion, and structural MR imaging. Neuroradiology. 60(6). 643–650. 7 indexed citations
14.
Xu, Jiahong, Yang Liu, Yuan Xie, Cuimei Zhao, & Hongbao Wang. (2017). Bioinformatics Analysis Reveals MicroRNAs Regulating Biological Pathways in Exercise-Induced Cardiac Physiological Hypertrophy. BioMed Research International. 2017. 1–6. 8 indexed citations
15.
Yu, Pujiao, Hongbao Wang, Yuan Xie, et al.. (2016). Deregulated Cardiac Specific MicroRNAs in Postnatal Heart Growth. BioMed Research International. 2016. 1–6. 4 indexed citations
16.
Yang, Ying, Xi Peng, Yuan Xie, et al.. (2015). Notoginsenoside R1 reduces blood pressure in spontaneously hypertensive rats through a long non-coding RNA AK094457.. PubMed. 8(3). 2700–9. 30 indexed citations
17.
Gu, Li, et al.. (2013). Age-specific Mycoplasma pneumoniae pneumonia-associated myocardial damage in children. Journal of International Medical Research. 41(5). 1716–1723. 12 indexed citations
18.
Xie, Yuan, et al.. (2011). Diagnosis and Pharmacological Management of Small Intestinal Bacterial Overgrowth in Children with Intestinal Failure. SHILAP Revista de lepidopterología. 25(1). 41–45. 33 indexed citations
19.
Weng, Wenhao, Yongxia Qiao, Yuan Xie, et al.. (2011). c-Myc inhibits TP53INP1 expression via promoter methylation in esophageal carcinoma. Biochemical and Biophysical Research Communications. 405(2). 278–284. 18 indexed citations
20.
Zhao, Xiao Dong, et al.. (2009). The prevalence of Th17 cells and FOXP3 regulate T cells (Treg) in children with primary nephrotic syndrome. Pediatric Nephrology. 24(9). 1683–1690. 89 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026