Yingli Sun

2.2k total citations · 1 hit paper
56 papers, 1.5k citations indexed

About

Yingli Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Yingli Sun has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Pulmonary and Respiratory Medicine and 16 papers in Molecular Biology. Recurrent topics in Yingli Sun's work include Lung Cancer Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Advanced X-ray and CT Imaging (9 papers). Yingli Sun is often cited by papers focused on Lung Cancer Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Advanced X-ray and CT Imaging (9 papers). Yingli Sun collaborates with scholars based in China, United States and Switzerland. Yingli Sun's co-authors include Xianlin Wu, Dongrui Wang, Ming Li, Liang Jin, Wei Zhao, Yanqing Hua, Pan Gao, Jiancheng Yang, Bingbing Ni and Peijun Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yingli Sun

54 papers receiving 1.5k citations

Hit Papers

Therapeutic targets and biomarkers of tumor immunotherapy... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingli Sun China 19 654 581 350 275 275 56 1.5k
Bojiang Chen China 21 512 0.8× 559 1.0× 322 0.9× 296 1.1× 119 0.4× 70 1.2k
C. Dilara Savci‐Heijink Netherlands 22 227 0.3× 500 0.9× 392 1.1× 392 1.4× 159 0.6× 57 1.5k
Christian A. Kunder United States 24 346 0.5× 790 1.4× 481 1.4× 364 1.3× 87 0.3× 80 1.8k
Jinrong Qu China 20 994 1.5× 390 0.7× 226 0.6× 392 1.4× 160 0.6× 95 1.8k
Maret Böhm Australia 21 430 0.7× 948 1.6× 340 1.0× 161 0.6× 120 0.4× 31 1.6k
Shir‐Hwa Ueng Taiwan 23 392 0.6× 427 0.7× 326 0.9× 459 1.7× 91 0.3× 78 1.8k
Brock A. Martin United States 20 374 0.6× 345 0.6× 208 0.6× 512 1.9× 474 1.7× 57 1.5k
Hesham Elhalawani United States 21 627 1.0× 433 0.7× 164 0.5× 532 1.9× 180 0.7× 93 1.5k
Huikang Xie China 23 537 0.8× 1.2k 2.0× 236 0.7× 488 1.8× 116 0.4× 89 1.7k
Xiance Jin China 21 671 1.0× 507 0.9× 696 2.0× 217 0.8× 200 0.7× 101 1.8k

Countries citing papers authored by Yingli Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yingli Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingli Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yingli Sun. A scholar is included among the top collaborators of Yingli 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 Yingli Sun. Yingli 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.
Li, Zhijuan, Yingli Sun, Wenqian Li, et al.. (2025). Mink enteritis virus infection induced cell cycle arrest and autophagy for its replication. Veterinary Microbiology. 302. 110374–110374. 1 indexed citations
2.
Wang, Wenfang, et al.. (2025). Machine-Learning-Based Computed Tomography Radiomics Regression Model for Predicting Pulmonary Function. Academic Radiology. 32(7). 4278–4288. 2 indexed citations
3.
Sun, Yingli, et al.. (2025). Chest CT imaging for differentiating normal, PRISm, and COPD in comparison with pulmonary function tests. La radiologia medica. 130(11). 1786–1796.
4.
Sun, Yingli, et al.. (2024). From multi-omics to predictive biomarker: AI in tumor microenvironment. Frontiers in Immunology. 15. 1514977–1514977. 5 indexed citations
5.
Liu, Jiejie, Tiance Wang, Yan Zhang, et al.. (2024). Manganese boosts natural killer cell function via cGAS–STING mediated UTX expression. SHILAP Revista de lepidopterología. 5(9). e683–e683. 5 indexed citations
6.
Chen, Bin, Pan Gao, Yuling Yang, et al.. (2024). Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based study. Insights into Imaging. 15(1). 233–233. 1 indexed citations
7.
Li, Lingyu & Yingli Sun. (2024). Challenges and advances of immune checkpoint therapy. SHILAP Revista de lepidopterología. 4(6). 3 indexed citations
8.
Gao, Liang, Yingli Sun, Ming Li, et al.. (2024). Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence. Thoracic Cancer. 15(35). 2500–2508. 1 indexed citations
9.
10.
Sun, Yingli, et al.. (2024). Exploring the optimal threshold of 3D consolidation tumor ratio value segmentation based on artificial intelligence for predicting the invasive degree of T1 lung adenocarcinoma. Quantitative Imaging in Medicine and Surgery. 14(12). 8988–8998. 1 indexed citations
12.
Sun, Yingli, Wei Zhao, Liang Jin, et al.. (2022). Computed tomography radiomics in growth prediction of pulmonary ground-glass nodules. European Journal of Radiology. 159. 110684–110684. 6 indexed citations
13.
Huang, Xuemei, Yingli Sun, Mingyu Tan, et al.. (2022). Three-Dimensional Convolutional Neural Network-Based Prediction of Epidermal Growth Factor Receptor Expression Status in Patients With Non-Small Cell Lung Cancer. Frontiers in Oncology. 12. 772770–772770. 18 indexed citations
14.
Tan, Mingyu, Weiling Ma, Yingli Sun, et al.. (2021). Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by Radiomics. Frontiers in Oncology. 11. 658138–658138. 15 indexed citations
15.
Zhang, Teng, Yida Wang, Yingli Sun, et al.. (2021). High-resolution CT image analysis based on 3D convolutional neural network can enhance the classification performance of radiologists in classifying pulmonary non-solid nodules. European Journal of Radiology. 141. 109810–109810. 7 indexed citations
16.
Zhao, Wei, Yuzhi Wu, Yanan Xu, et al.. (2020). The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung Adenocarcinoma. Frontiers in Oncology. 9. 1485–1485. 38 indexed citations
17.
Wang, Junyun, et al.. (2017). Application of liquid biopsy in precision medicine: opportunities and challenges. Frontiers of Medicine. 11(4). 522–527. 99 indexed citations
18.
Wang, Yajun, Liyuan Zheng, Yilin Chen, et al.. (2016). Genetic Polymorphisms of TGFB1, TGFBR1, SNAI1 and TWIST1 Are Associated with Endometrial Cancer Susceptibility in Chinese Han Women. PLoS ONE. 11(5). e0155270–e0155270. 15 indexed citations
19.
Li, Yanyan, Fengxia Du, Xiao Han, et al.. (2014). Histone H4 Lys 20 methyltransferase SET8 promotes androgen receptor-mediated transcription activation in prostate cancer. Biochemical and Biophysical Research Communications. 450(1). 692–696. 28 indexed citations
20.
Kim, Kwanghee, Julianne M. Pollard, Andrew J. Norris, et al.. (2009). High-Throughput Screening Identifies Two Classes of Antibiotics as Radioprotectors: Tetracyclines and Fluoroquinolones. Clinical Cancer Research. 15(23). 7238–7245. 66 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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