Yuying Li

556 total citations
33 papers, 293 citations indexed

About

Yuying Li is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Yuying Li has authored 33 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 12 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Yuying Li's work include Cancer Immunotherapy and Biomarkers (5 papers), Ferroptosis and cancer prognosis (4 papers) and Lung Cancer Research Studies (4 papers). Yuying Li is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Ferroptosis and cancer prognosis (4 papers) and Lung Cancer Research Studies (4 papers). Yuying Li collaborates with scholars based in China, United Kingdom and Hong Kong. Yuying Li's co-authors include Hui Zhu, Xiaoyang Zhai, Shuhui Xu, Ji Li, Feng Sun, Min Wang, Yaru Tian, Ji Ma, Zhijun Guo and Jinming Yu and has published in prestigious journals such as Angewandte Chemie International Edition, Cancer and Frontiers in Immunology.

In The Last Decade

Yuying Li

26 papers receiving 290 citations

Peers

Yuying Li
Yuying Li
Citations per year, relative to Yuying Li Yuying Li (= 1×) peers Ephraim Tang

Countries citing papers authored by Yuying Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuying Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuying Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuying Li. A scholar is included among the top collaborators of Yuying Li 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 Yuying Li. Yuying Li 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.
Cai, Chenchen, Yuying Li, Bin Luo, et al.. (2025). Harnessing the Hofmeister Effect for Simultaneous Strengthening and Toughening of Cellulosic Triboelectric Materials. Angewandte Chemie International Edition. 65(6). e21123–e21123. 1 indexed citations
2.
Li, Yuying, C. L. Luo, Shi‐Ming Feng, et al.. (2025). Reliability of muscle architecture assessment using clinical ultrasound in post-stroke patients: a systematic review. BMC Musculoskeletal Disorders. 26(1). 1050–1050.
4.
Shi, Xinyu, Xiaoyi Yuan, Danya Liu, et al.. (2024). PPM1G‐mediated TBL1X mRNA splicing promotes cell migration in hepatocellular carcinoma. Cancer Science. 116(1). 67–80.
5.
Li, Yuying, et al.. (2024). Few-Shot Camouflaged Object Segmentation. 1–10.
6.
Wang, Wenjun, et al.. (2024). Use of tumor markers in distinguishing lung adenocarcinoma-associated malignant pleural effusion from tuberculous pleural effusion. The American Journal of the Medical Sciences. 368(2). 136–142. 1 indexed citations
7.
Dong, Qiuxia, Fuxing Zhao, Yuying Li, et al.. (2024). The correlation between systemic inflammatory markers and efficiency for advanced gastric cancer patients treated with ICIs combined with chemotherapy. Immunology. 172(1). 77–90. 5 indexed citations
8.
Zhang, Zhengwei, et al.. (2024). Constructing immune and prognostic features associated with ADCP in hepatocellular carcinoma and pan-cancer based on scRNA-seq and bulk RNA-seq. Frontiers in Immunology. 15. 1397541–1397541. 2 indexed citations
10.
Gao, Wenxing, Wen Zhao, Yingjie Zhao, et al.. (2023). Molecular subtypes identified by multiomics analysis based on cuproptosis‑related genes precisely predict response to immunotherapy and chemotherapy in colorectal cancer. Molecular Carcinogenesis. 62(11). 1755–1769. 1 indexed citations
11.
Li, Jingjing, et al.. (2023). A nomogram based on CT texture features to predict the response of patients with advanced pancreatic cancer treated with chemotherapy. BMC Gastroenterology. 23(1). 274–274. 3 indexed citations
14.
Meng, Kun, et al.. (2023). A five-protein prognostic signature with GBP2 functioning in immune cell infiltration of clear cell renal cell carcinoma. Computational and Structural Biotechnology Journal. 21. 2621–2630. 6 indexed citations
16.
Li, Ji, Min Wang, Shuhui Xu, et al.. (2022). The Strategies and Mechanisms of Immune Checkpoint Inhibitors for Brain Metastases in NSCLC. Frontiers in Pharmacology. 13. 841623–841623. 3 indexed citations
18.
Li, Yuying, Tian Lan, Wei Wang, et al.. (2021). First detection and complete genome analysis of the Lyon IARC polyomavirus in China from samples of diarrheic cats. Virus Genes. 57(3). 284–288. 5 indexed citations
19.
Ren, Dengfeng, Fangchao Zheng, Shuisheng Zhang, et al.. (2018). Clinicopathological Characteristics and Prognoses of Elderly Gastric Cancer Patients after R0 Resection: A Multicenter Study in China. Journal of Environmental Pathology Toxicology and Oncology. 37(1). 81–91. 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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