Ying Su

1.9k total citations
87 papers, 1.4k citations indexed

About

Ying Su is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Ying Su has authored 87 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 17 papers in Cardiology and Cardiovascular Medicine and 14 papers in Surgery. Recurrent topics in Ying Su's work include Alzheimer's disease research and treatments (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). Ying Su is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (6 papers). Ying Su collaborates with scholars based in China, United States and Japan. Ying Su's co-authors include K. V. Thrivikraman, Shenggang Sun, Paul M. Plotsky, Bo Hu, Zhihou Liang, Zhe Luo, Guo-Wei Tu, Chunyang Li, Dan Liu and Ling‐Qiang Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biological Psychiatry.

In The Last Decade

Ying Su

82 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Su China 19 375 309 179 176 161 87 1.4k
Xia Feng China 27 612 1.6× 120 0.4× 127 0.7× 151 0.9× 83 0.5× 129 1.8k
Xue Zhang China 18 446 1.2× 289 0.9× 115 0.6× 100 0.6× 98 0.6× 107 1.2k
Yi Li China 27 928 2.5× 190 0.6× 246 1.4× 166 0.9× 85 0.5× 164 2.6k
Juri Katchanov Germany 20 499 1.3× 148 0.5× 69 0.4× 384 2.2× 170 1.1× 50 1.8k
Lan Huang China 25 685 1.8× 113 0.4× 178 1.0× 143 0.8× 188 1.2× 131 2.0k
Changhong Tan China 19 196 0.5× 359 1.2× 49 0.3× 218 1.2× 85 0.5× 59 1.3k
Roberta Mancuso Italy 27 669 1.8× 187 0.6× 142 0.8× 383 2.2× 127 0.8× 91 2.2k
Ursula Felderhoff‐Müser Germany 27 498 1.3× 255 0.8× 178 1.0× 334 1.9× 58 0.4× 143 2.2k
Zhilin Li China 20 353 0.9× 173 0.6× 55 0.3× 67 0.4× 112 0.7× 59 1.5k

Countries citing papers authored by Ying Su

Since Specialization
Citations

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

Fields of papers citing papers by Ying Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Su. A scholar is included among the top collaborators of Ying 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 Ying Su. Ying 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.
2.
Wu, Zuotian, Yumeng Xie, Limin Sun, et al.. (2024). Maternal separation during lactation affects recognition memory, emotional behaviors, hippocampus and gut microbiota composition in C57BL6J adolescent female mice. Behavioural Brain Research. 476. 115249–115249. 1 indexed citations
3.
Luo, Minghao, Jing‐chao Luo, Jiakun Li, et al.. (2023). Postoperative glucocorticoids in patients with acute type A aortic dissection (GLAD): study protocol for a prospective, single-center, randomized controlled trial. BMC Anesthesiology. 23(1). 164–164. 1 indexed citations
4.
Qin, Mengting, Xiaoming Liu, Lan Zhang, et al.. (2023). Decreased GABA levels of the anterior and posterior cingulate cortex are associated with executive dysfunction in mild cognitive impairment. Frontiers in Neuroscience. 17. 1220122–1220122. 14 indexed citations
5.
Yang, Hang, Yan Luo, Hang Hu, et al.. (2021). pH‐Sensitive, Cerebral Vasculature‐Targeting Hydroxyethyl Starch Functionalized Nanoparticles for Improved Angiogenesis and Neurological Function Recovery in Ischemic Stroke. Advanced Healthcare Materials. 10(12). e2100028–e2100028. 38 indexed citations
6.
Liu, Yuanbo, Yiting Pan, Lili Lü, et al.. (2021). Polymorphism analysis and expression profile of the estrogen receptor 2 gene in Leizhou black duck. Poultry Science. 101(3). 101630–101630. 5 indexed citations
7.
Ma, Guo‐guang, Liying Xu, Jing‐chao Luo, et al.. (2021). Change in left ventricular velocity time integral during Trendelenburg maneuver predicts fluid responsiveness in cardiac surgical patients in the operating room. Quantitative Imaging in Medicine and Surgery. 11(7). 3133–3145. 11 indexed citations
8.
Liu, Jie, Zilong Liu, Weipeng Jiang, et al.. (2020). Clinical predictors of COVID‐19 disease progression and death: Analysis of 214 hospitalised patients from Wuhan, China. The Clinical Respiratory Journal. 15(3). 293–309. 15 indexed citations
9.
Zou, Kun, Lili Lü, Yuanbo Liu, et al.. (2020). Ovarian transcriptomic analysis and follicular development of Leizhou black duck. Poultry Science. 99(11). 6173–6187. 17 indexed citations
10.
Lü, Lili, et al.. (2020). Evaluation of growth performance on family breeding of the Leizhou Black Duck: A preliminary study. Veterinary Medicine and Science. 6(3). 500–510. 11 indexed citations
11.
Zhuang, Rui, Zhengxue Han, Xin Huang, et al.. (2020). CCL18 overexpression predicts a worse prognosis in oral squamous cell carcinoma (OSCC). Neoplasma. 67(3). 700–706. 13 indexed citations
12.
Su, Ying, Min‐Jie Ju, Jiefei Ma, et al.. (2019). Lactate dehydrogenase as a prognostic marker of renal transplant recipients with severe community-acquired pneumonia: a 10-year retrospective study. Annals of Translational Medicine. 7(22). 660–660. 16 indexed citations
13.
Su, Ying, Man‐Fei Deng, Wan Xiong, et al.. (2018). MicroRNA-26a/Death-Associated Protein Kinase 1 Signaling Induces Synucleinopathy and Dopaminergic Neuron Degeneration in Parkinson’s Disease. Biological Psychiatry. 85(9). 769–781. 100 indexed citations
14.
Lin, Weifeng, Hang Li, Xuemei Li, et al.. (2015). [The relationship between anti-phospholipase A2 receptor antibody and idiopathic membranous nephropathy].. PubMed. 54(9). 783–8. 6 indexed citations
15.
Hsi, Jenny H., Huixin Liu, Ying Su, et al.. (2014). HIV-infected female sex workers' high risk behavior and attitude changes in Kaiyuan City, Yunnan Province, China.. PubMed. 27(6). 444–52. 4 indexed citations
16.
Su, Ying, et al.. (2013). Effect of Kano model on improving satisfaction of nursing service in outpatient and emergency department of pediatrics. Zhonghua xiandai huli zazhi. 19(24). 2885–2888. 1 indexed citations
17.
Liu, Jinling, et al.. (2013). Comparative Efficacy and Acceptability of Antidepressants in Parkinson's Disease: A Network Meta-Analysis. PLoS ONE. 8(10). e76651–e76651. 61 indexed citations
18.
Zhang, Yan, et al.. (2011). Application of Electrophysiologic Techniques in Poor Outcome Prediction Among Patients With Severe Focal and Diffuse Ischemic Brain Injury. Journal of Clinical Neurophysiology. 28(5). 497–503. 34 indexed citations
19.
Zhang, Yan, et al.. (2011). Predicting comatose patients with acute stroke outcome using middle-latency somatosensory evoked potentials. Clinical Neurophysiology. 122(8). 1645–1649. 17 indexed citations
20.

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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