Yi Sun

1.7k total citations
84 papers, 1.3k citations indexed

About

Yi Sun is a scholar working on Molecular Biology, Complementary and alternative medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Yi Sun has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 11 papers in Complementary and alternative medicine and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Yi Sun's work include Metabolomics and Mass Spectrometry Studies (6 papers), Spinal Cord Injury Research (6 papers) and Extracellular vesicles in disease (6 papers). Yi Sun is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Spinal Cord Injury Research (6 papers) and Extracellular vesicles in disease (6 papers). Yi Sun collaborates with scholars based in China, United States and Thailand. Yi Sun's co-authors include Xin Zhao, Xiaoping Pu, Baoxue Yang, Runzhe Liu, Weiling Wang, Xiaoping Pu, Ming Lin, Rutong Ren, Tianluo Lei and Tian Fang and has published in prestigious journals such as Journal of Biological Chemistry, Nano Letters and ACS Nano.

In The Last Decade

Yi Sun

76 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
Yi Sun China 22 634 130 121 108 107 84 1.3k
Lokesh Kumar Bhatt India 22 599 0.9× 123 0.9× 55 0.5× 90 0.8× 109 1.0× 89 1.6k
Fahad Ali India 21 728 1.1× 174 1.3× 122 1.0× 49 0.5× 74 0.7× 41 1.5k
Qianqian Li China 25 591 0.9× 149 1.1× 85 0.7× 235 2.2× 44 0.4× 91 1.6k
Amos A. Fatokun United Kingdom 20 743 1.2× 101 0.8× 76 0.6× 99 0.9× 43 0.4× 60 1.7k
Ziying Wang China 20 618 1.0× 132 1.0× 95 0.8× 97 0.9× 66 0.6× 59 1.3k
Inmaculada Posadas Spain 25 1.0k 1.6× 135 1.0× 79 0.7× 95 0.9× 165 1.5× 42 2.1k
Honghai Wu China 22 700 1.1× 117 0.9× 100 0.8× 80 0.7× 66 0.6× 64 1.6k
Huiying Liu China 17 658 1.0× 123 0.9× 68 0.6× 73 0.7× 42 0.4× 49 1.4k
Y Liu China 21 497 0.8× 152 1.2× 69 0.6× 137 1.3× 43 0.4× 75 1.3k
Lan Zhang China 22 436 0.7× 85 0.7× 117 1.0× 262 2.4× 88 0.8× 89 1.4k

Countries citing papers authored by Yi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Sun. A scholar is included among the top collaborators of Yi Sun 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 Yi Sun. Yi Sun 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.
Sun, Yi, Cheng Zhang, Chen Wang, et al.. (2025). Precise Sizing and Collision Detection of Functional Nanoparticles by Deep Learning Empowered Plasmonic Microscopy. Advanced Science. 12(9). e2407432–e2407432.
2.
Qin, Yiming, Tianding Wu, Chunyue Duan, et al.. (2025). Hypoxic Neural Stem Cells Enhance Spinal Cord Repair Through HIF‐1a/RAB17‐Driven Extracellular Vesicle Release. Journal of Extracellular Vesicles. 14(7). e70126–e70126.
3.
Liu, Yingze, et al.. (2025). Small Molecule Drugs Triggered the Activation of Macrocycle Masked Proteins. Nano Letters. 25(8). 3291–3299. 4 indexed citations
4.
Sun, Yi, et al.. (2025). Veno-arterial ECMO support for severe amlodipine toxicity combined with cardiogenic shock: A case report. The International Journal of Artificial Organs. 48(3). 155–159.
5.
Wang, Xinlei, et al.. (2024). The correlation between patients with type 2 diabetes mellitus and chronic microvascular complications during the glucose peak time. Journal of Diabetes and its Complications. 38(11). 108866–108866.
6.
Deng, Yuanyu, Jie Luo, Yiwei Zhang, et al.. (2023). Regulation of mRNA stability contributes to the function of innate lymphoid cells in various diseases. Frontiers in Immunology. 14. 1118483–1118483. 1 indexed citations
7.
Chen, Jiaqi, et al.. (2023). A Novel Probabilistic Shaping Based Chaotic Encryption for VLC Systems. 1–5. 1 indexed citations
8.
Xie, Yong, Zixiang Luo, Wei Peng, et al.. (2023). Inhibition of UTX/KDM6A improves recovery of spinal cord injury by attenuating BSCB permeability and macrophage infiltration through the MLCK/p-MLC pathway. Journal of Neuroinflammation. 20(1). 259–259. 8 indexed citations
9.
Huang, Ping, et al.. (2022). Fatty Acid-Binding Protein 4 in Patients with and without Diabetic Retinopathy. Diabetes & Metabolism Journal. 46(4). 640–649. 3 indexed citations
10.
Cao, Yi, Chen Zhang, Cheng Peng, et al.. (2022). A convolutional neural network-based COVID-19 detection method using chest CT images. Annals of Translational Medicine. 10(6). 333–333. 5 indexed citations
11.
Sun, Yi, Hui Zhao, Xiaoqing Ni, et al.. (2020). Serum Fibroblast Growth Factor 19 and Total Bile Acid Concentrations Are Potential Biomarkers of Hepatocellular Carcinoma in Patients with Type 2 Diabetes Mellitus. BioMed Research International. 2020(1). 1751989–1751989. 17 indexed citations
12.
Wang, Xinlei, Yunjuan Gu, Xiaohui Zhu, et al.. (2020). Effects of Exenatide and Humalog Mix25 on Fat Distribution, Insulin Sensitivity, and β-Cell Function in Normal BMI Patients with Type 2 Diabetes and Visceral Adiposity. Journal of Diabetes Research. 2020. 1–11. 6 indexed citations
14.
Jiang, Tao, Yingjie Li, Anita T. Layton, et al.. (2016). Generation and phenotypic analysis of mice lacking all urea transporters. Kidney International. 91(2). 338–351. 25 indexed citations
15.
Ren, Rutong, Chunyan Shi, Yi Sun, et al.. (2016). Neuroprotective Effects of A Standardized Flavonoid Extract of Safflower Against Neurotoxin-Induced Cellular and Animal Models of Parkinson’s Disease. Scientific Reports. 6(1). 22135–22135. 63 indexed citations
16.
Sun, Yi, Wenjia Zhang, Xin Zhao, et al.. (2014). PARK7 protein translocating into spermatozoa mitochondria in Chinese asthenozoospermia. Reproduction. 148(3). 249–257. 19 indexed citations
17.
Li, Fei, Tianluo Lei, Juanjuan Zhu, et al.. (2013). A novel small-molecule thienoquinolin urea transporter inhibitor acts as a potential diuretic. Kidney International. 83(6). 1076–1086. 43 indexed citations
18.
Sun, Yi, Hiroaki Norimoto, Xiaoping Pu, Norio Matsuki, & Yuji Ikegaya. (2012). Cannabinoid Receptor Activation Disrupts the Internal Structure of Hippocampal Sharp Wave–Ripple Complexes. Journal of Pharmacological Sciences. 118(2). 288–294. 14 indexed citations
19.
Song, Xiaomin, Xiaofeng Wang, Wei Zhuo, et al.. (2010). The Regulatory Mechanism of Extracellular Hsp90α on Matrix Metalloproteinase-2 Processing and Tumor Angiogenesis. Journal of Biological Chemistry. 285(51). 40039–40049. 99 indexed citations
20.
Zhou, Hao, et al.. (2006). Insight into the catalytic mechanism of arginine deiminase: Functional studies on the crucial sites. Proteins Structure Function and Bioinformatics. 66(3). 740–750. 17 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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