Yanxin Su

458 total citations
22 papers, 332 citations indexed

About

Yanxin Su is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Animal Science and Zoology. According to data from OpenAlex, Yanxin Su has authored 22 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Animal Science and Zoology. Recurrent topics in Yanxin Su's work include Animal Virus Infections Studies (5 papers), interferon and immune responses (4 papers) and Cardiovascular Function and Risk Factors (4 papers). Yanxin Su is often cited by papers focused on Animal Virus Infections Studies (5 papers), interferon and immune responses (4 papers) and Cardiovascular Function and Risk Factors (4 papers). Yanxin Su collaborates with scholars based in China and United States. Yanxin Su's co-authors include Jinhai Huang, Peidian Shi, Ruiqiao Li, Lilin Zhang, Bailin Niu, Huimin Du, Guosheng Ren, Yanhui Guo, Heng-Da Cheng and Emily Gao and has published in prestigious journals such as The Journal of Immunology, Analytical Chemistry and Journal of Virology.

In The Last Decade

Yanxin Su

22 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanxin Su China 11 99 87 77 74 57 22 332
Rebecca Abraham United States 10 93 0.9× 22 0.3× 63 0.8× 108 1.5× 19 0.3× 18 342
Zhenyu Ye China 13 69 0.7× 45 0.5× 265 3.4× 88 1.2× 136 2.4× 19 609
Caixia Zhu China 11 134 1.4× 109 1.3× 77 1.0× 9 0.1× 86 1.5× 22 462
Kaibo Liu United States 5 71 0.7× 19 0.2× 302 3.9× 57 0.8× 23 0.4× 5 364
Zhongmin Guo China 10 106 1.1× 15 0.2× 63 0.8× 47 0.6× 17 0.3× 25 320
Priyanka Yalamanchili United States 6 77 0.8× 35 0.4× 126 1.6× 50 0.7× 40 0.7× 10 291
Zhenwei Liu China 13 313 3.2× 19 0.2× 262 3.4× 26 0.4× 132 2.3× 23 675
Yuan-Hsiang Chang United States 8 173 1.7× 82 0.9× 142 1.8× 22 0.3× 18 0.3× 11 465
Zhichao Liang China 11 175 1.8× 13 0.1× 280 3.6× 35 0.5× 31 0.5× 43 630
Huijin Dong China 13 226 2.3× 80 0.9× 46 0.6× 49 0.7× 76 1.3× 30 361

Countries citing papers authored by Yanxin Su

Since Specialization
Citations

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

Fields of papers citing papers by Yanxin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanxin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yanxin Su. A scholar is included among the top collaborators of Yanxin Su 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 Yanxin Su. Yanxin Su 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.
Su, Yanxin, et al.. (2020). The Vif protein of caprine arthritis encephalitis virus inhibits interferon production. Archives of Virology. 165(7). 1557–1567. 4 indexed citations
2.
Shi, Peidian, Yanxin Su, Min Zhu, et al.. (2020). SUMOylation of DDX39A Alters Binding and Export of Antiviral Transcripts to Control Innate Immunity. The Journal of Immunology. 205(1). 168–180. 25 indexed citations
3.
Niu, Bailin, Fachun Zhou, Yanxin Su, et al.. (2019). Different Expression Characteristics of LAG3 and PD-1 in Sepsis and Their Synergistic Effect on T Cell Exhaustion: A New Strategy for Immune Checkpoint Blockade. Frontiers in Immunology. 10. 1888–1888. 38 indexed citations
4.
Shi, Peidian, et al.. (2019). PEDV nsp16 negatively regulates innate immunity to promote viral proliferation. Virus Research. 265. 57–66. 67 indexed citations
5.
Jiang, Jie, Huimin Du, Yanxin Su, et al.. (2019). Nonviral infection-related lymphocytopenia for the prediction of adult sepsis and its persistence indicates a higher mortality. Medicine. 98(29). e16535–e16535. 24 indexed citations
6.
7.
Shi, Peidian, Yanxin Su, Yi Li, et al.. (2018). The alternatively spliced porcine FcγRI regulated PRRSV-ADE infection and proinflammatory cytokine production. Developmental & Comparative Immunology. 90. 186–198. 16 indexed citations
8.
9.
Zhang, Lei, Jie Ren, Peidian Shi, et al.. (2018). The Immunological Regulation Roles of Porcine β-1, 4 Galactosyltransferase V (B4GALT5) in PRRSV Infection. Frontiers in Cellular and Infection Microbiology. 8. 48–48. 12 indexed citations
10.
Liang, Hong, et al.. (2018). Evaluation of carotid artery elasticity in patients with uremia by echo tracking. Journal of Medical Ultrasonics. 45(4). 591–596. 3 indexed citations
11.
Liu, Yan, et al.. (2017). Fully automatic Breast ultrasound image segmentation based on fuzzy cellular automata framework. Biomedical Signal Processing and Control. 40. 433–442. 14 indexed citations
12.
Liu, Yingfeng, et al.. (2016). Evaluation of Right Ventricular Systolic Function in Patients With Chronic Pulmonary Heart Disease by 2‐Dimensional Speckle‐Tracking Echocardiography. Journal of Ultrasound in Medicine. 35(11). 2333–2342. 3 indexed citations
13.
Jiang, Shuangquan, Hairu Li, Min Ren, et al.. (2015). Evaluation of Left Ventricular Regional Systolic Function Using Tissue Doppler Echocardiography After Mesenchymal Stem Cell Transplantation in Rabbits With Myocardial Infarction. Journal of Ultrasound in Medicine. 34(7). 1217–1225. 1 indexed citations
14.
Yang, Yan, et al.. (2012). Associations of apolipoprotein A5 with triglyceride, adiponectin and insulin resistance in patients with impaired glucose regulation and type 2 diabetes mellitus. International Journal of Diabetes in Developing Countries. 33(1). 13–17. 2 indexed citations
15.
Su, Yanxin, Hong Wang, Ying Wang, et al.. (2009). Speckle reduction approach for breast ultrasound image and its application to breast cancer diagnosis. European Journal of Radiology. 75(1). e136–e141. 11 indexed citations
16.
Su, Yanxin, Tingting An, Dawei Wang, & Jiawei Tian. (2009). Evaluation of Ultrasonic Scores in Differential Diagnosis of Breast Solid Lesions. Journal of diagnostic medical sonography. 25(6). 310–315. 2 indexed citations
17.
Zhang, Yingtao, Heng-Da Cheng, Yanhui Guo, et al.. (2008). Classification of Breast Masses Using Color Doppler Flow Imaging. 2 indexed citations
18.
Tian, Jiawei, et al.. (2007). Tissue Synchronization Imaging of Myocardial Dyssynchronicity of the Left Ventricle in Patients With Coronary Artery Disease. Journal of Ultrasound in Medicine. 26(7). 893–897. 6 indexed citations
19.
Guo, Yanhui, Heng-Da Cheng, Jianhua Huang, et al.. (2006). Breast ultrasound image enhancement using fuzzy logic. Ultrasound in Medicine & Biology. 32(2). 237–247. 26 indexed citations
20.
Su, Yanxin, et al.. (2006). Evaluation of Cardiac Global Function Using the Myocardial Performance Index by Tissue Doppler Echocardiography in Patients With Uremia. Journal of Ultrasound in Medicine. 25(12). 1563–1569. 5 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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