Yong Ye

806 total citations
42 papers, 611 citations indexed

About

Yong Ye is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Yong Ye has authored 42 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 11 papers in Surgery and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Yong Ye's work include Cardiac Fibrosis and Remodeling (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Yong Ye is often cited by papers focused on Cardiac Fibrosis and Remodeling (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Yong Ye collaborates with scholars based in China, United States and Germany. Yong Ye's co-authors include Jian Wu, Junbo Ge, Hui Gong, Yunzeng Zou, Yunzeng Zou, Shijun Wang, Weijing Zhang, Xingxu Wang, Liping Bu and Jie Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Physiology-Heart and Circulatory Physiology and Heart.

In The Last Decade

Yong Ye

38 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Ye China 12 305 209 91 71 67 42 611
Hesong Zeng China 16 157 0.5× 275 1.3× 84 0.9× 99 1.4× 133 2.0× 38 732
Paola Songia Italy 18 359 1.2× 145 0.7× 126 1.4× 144 2.0× 65 1.0× 40 719
Danny Guo Canada 8 551 1.8× 239 1.1× 104 1.1× 47 0.7× 183 2.7× 19 977
Ting-I Lee Taiwan 14 270 0.9× 254 1.2× 171 1.9× 132 1.9× 94 1.4× 22 742
Markus Wallner Austria 17 481 1.6× 355 1.7× 184 2.0× 82 1.2× 23 0.3× 61 965
Xiuhong Yang China 14 120 0.4× 172 0.8× 63 0.7× 62 0.9× 113 1.7× 45 620
Haran Yogasundaram Canada 13 288 0.9× 208 1.0× 71 0.8× 126 1.8× 87 1.3× 31 768
Masahiro Eriguchi Japan 15 214 0.7× 129 0.6× 151 1.7× 56 0.8× 35 0.5× 60 780
Zeyuan Lu China 15 77 0.3× 249 1.2× 112 1.2× 68 1.0× 41 0.6× 29 715
Celina Wojciechowska Poland 14 493 1.6× 125 0.6× 148 1.6× 193 2.7× 36 0.5× 53 899

Countries citing papers authored by Yong Ye

Since Specialization
Citations

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

Fields of papers citing papers by Yong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Ye. A scholar is included among the top collaborators of Yong Ye 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 Yong Ye. Yong Ye 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
4.
Liu, Wensheng, et al.. (2024). Characteristics and outcomes of cancer patients admitted to intensive care units in cancer specialized hospitals in China. Journal of Cancer Research and Clinical Oncology. 150(4). 205–205. 1 indexed citations
5.
Wang, Huijuan, et al.. (2023). Study on the antipyretic mechanism of large pushing Tianheshui for young rabbits with endotoxin-induced fever. Journal of Acupuncture and Tuina Science. 21(3). 180–186.
6.
Yu, Wei, et al.. (2023). Mitophagy-related gene signature predicts prognosis, immune infiltration and chemotherapy sensitivity in colorectal cancer. World Journal of Gastrointestinal Oncology. 15(3). 546–561.
7.
Xiao, Min, et al.. (2023). Diagnosis and treatment of postoperative bleeding in patients after gastrectomy: a retrospective case series study. Journal of Gastrointestinal Oncology. 14(1). 110–118. 4 indexed citations
8.
Zhang, Mingji, Taichiro Goto, Wolfgang M. Brueckl, et al.. (2023). Combination of the platelet-to-lymphocyte ratio and fibrinogen may predict 5-year overall survival of patient in non-small cell lung cancer treated with surgery. Journal of Thoracic Disease. 15(12). 6967–6975. 3 indexed citations
9.
Shen, Tao, Yong Ye, Sheng Fan, et al.. (2022). Clinical efficacy of Tuina manipulations for lumbar disc herniation and its influence on posture-associated indicators. Journal of Acupuncture and Tuina Science. 20(3). 213–220. 1 indexed citations
10.
Zeng, Zhiyong, Chaohui Wu, Yong Ye, et al.. (2021). Development and validation of a simple-to-use nomogram to predict the deterioration and survival of patients with COVID-19. BMC Infectious Diseases. 21(1). 356–356. 10 indexed citations
11.
Shen, Yi, Chenguang Li, Xiang Wang, et al.. (2020). Pressure overload promotes cystatin C secretion of cardiomyocytes to regulate the MAPK signaling pathway and mediate cardiac hypertrophy. Annals of Translational Medicine. 8(22). 1514–1514. 9 indexed citations
12.
You, Jieyun, Jian Wu, Qi Zhang, et al.. (2017). Differential cardiac hypertrophy and signaling pathways in pressure versus volume overload.. American Journal of Physiology-Heart and Circulatory Physiology. 314(3). ajpheart.00212.–ajpheart.00212.. 84 indexed citations
13.
Fu, Yu, Zhigang Shi, Yong Ye, et al.. (2016). Comparing efficacy and safety of 2 methods of tranexamic acid administration in reducing blood loss following total knee arthroplasty. Medicine. 95(50). e5583–e5583. 30 indexed citations
14.
Cao, Yuanyuan, Zhangwei Chen, Jianguo Jia, et al.. (2016). Establishment of a Novel Mouse Model of Coronary Microembolization. Chinese Medical Journal. 129(24). 2951–2957. 8 indexed citations
15.
Ye, Yong, Hui Gong, Xingxu Wang, et al.. (2015). Combination Treatment With Antihypertensive Agents Enhances the Effect of Qiliqiangxin on Chronic Pressure Overload–induced Cardiac Hypertrophy and Remodeling in Male Mice. Journal of Cardiovascular Pharmacology. 65(6). 628–639. 14 indexed citations
16.
Zi, Zhenguo, Shasha Zhang, Yong Ye, et al.. (2014). Rubicon Deficiency Enhances Cardiac Autophagy and Protects Mice From Lipopolysaccharide-induced Lethality and Reduction in Stroke Volume. Journal of Cardiovascular Pharmacology. 65(3). 252–261. 27 indexed citations
17.
Qiu, Zhaohui, Wenbin Zhang, Fan Fan, et al.. (2012). Rosuvastatin‐attenuated heart failure in aged spontaneously hypertensive rats via PKCα/β2 signal pathway. Journal of Cellular and Molecular Medicine. 16(12). 3052–3061. 13 indexed citations
18.
Wu, Jian, Jieyun You, Guoliang Jiang, et al.. (2012). Noninvasive Estimation of Infarct Size in a Mouse Model of Myocardial Infarction by Echocardiographic Coronary Perfusion. Journal of Ultrasound in Medicine. 31(7). 1111–1121. 6 indexed citations
19.
Zou, Yunzeng, Lin Li, Yong Ye, et al.. (2011). Qiliqiangxin Inhibits the Development of Cardiac Hypertrophy, Remodeling, and Dysfunction During 4 Weeks of Pressure Overload in Mice. Journal of Cardiovascular Pharmacology. 59(3). 268–280. 53 indexed citations
20.
Wu, Jian, Liping Bu, Hui Gong, et al.. (2010). Effects of Heart Rate and Anesthetic Timing on High-Resolution Echocardiographic Assessment Under Isoflurane Anesthesia in Mice. Journal of Ultrasound in Medicine. 29(12). 1771–1778. 75 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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