Shao‐Nan Yu

412 total citations
10 papers, 201 citations indexed

About

Shao‐Nan Yu is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Shao‐Nan Yu has authored 10 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Shao‐Nan Yu's work include Chemokine receptors and signaling (3 papers), Immunotherapy and Immune Responses (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Shao‐Nan Yu is often cited by papers focused on Chemokine receptors and signaling (3 papers), Immunotherapy and Immune Responses (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Shao‐Nan Yu collaborates with scholars based in China and United Kingdom. Shao‐Nan Yu's co-authors include Lijun Qu, Zhiwei Lei, Lili Wang, Xiansheng Zhang, Xuqing Liu, Xueji Zhang, Kun Liang, Shifeng Zhu, Xuantong Sun and Guifeng Liu and has published in prestigious journals such as Advanced Functional Materials, Journal of Cellular Physiology and Journal of Cellular Biochemistry.

In The Last Decade

Shao‐Nan Yu

10 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shao‐Nan Yu China	7	98	55	38	31	26	10	201
Jinjing Hu China	9	172 1.8×	98 1.8×	68 1.8×	21 0.7×	6 0.2×	11	318
Shaojie Liu China	10	131 1.3×	79 1.4×	59 1.6×	24 0.8×	58 2.2×	32	350
Huicheng Liu China	10	70 0.7×	54 1.0×	67 1.8×	30 1.0×	38 1.5×	15	246
Shuoshuo Wang China	10	104 1.1×	6 0.1×	49 1.3×	38 1.2×	28 1.1×	15	264
Hongyu Lan China	3	128 1.3×	78 1.4×	7 0.2×	10 0.3×	11 0.4×	7	174
Qijing Guo China	11	216 2.2×	93 1.7×	98 2.6×	20 0.6×	32 1.2×	26	391
Hexuan Wang China	13	35 0.4×	77 1.4×	120 3.2×	117 3.8×	35 1.3×	27	433
Shisen Li China	10	48 0.5×	13 0.2×	43 1.1×	18 0.6×	14 0.5×	36	269
Yanjun Liu China	7	28 0.3×	5 0.1×	36 0.9×	35 1.1×	27 1.0×	17	327

Countries citing papers authored by Shao‐Nan Yu

Since Specialization

Citations

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

Fields of papers citing papers by Shao‐Nan Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐Nan Yu. 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 Shao‐Nan Yu. The network helps show where Shao‐Nan Yu may publish in the future.

Co-authorship network of co-authors of Shao‐Nan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shao‐Nan Yu. A scholar is included among the top collaborators of Shao‐Nan Yu 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 Shao‐Nan Yu. Shao‐Nan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Wang, Wendan, et al.. (2024). The influence of interface products on the mechanical and electrical properties of graphene aluminum composites. Surfaces and Interfaces. 46. 104164–104164. 7 indexed citations

Yu, Shao‐Nan, Xiansheng Zhang, Xuan Lin, et al.. (2023). The dual transportation channel of ionic strain sensor constructed by amorphous polymer chains and two-dimensional nanoplatelets. European Polymer Journal. 204. 112703–112703. 3 indexed citations

Yang, Hui-Min, et al.. (2023). Radiomics nomogram based on digital breast tomosynthesis: preoperative evaluation of axillary lymph node metastasis in breast carcinoma. Journal of Cancer Research and Clinical Oncology. 149(11). 9317–9328. 8 indexed citations

Li, Fang, et al.. (2022). Value of Histogram of Gray-Scale Ultrasound Image in Differential Diagnosis of Small Triple Negative Breast Invasive Ductal Carcinoma and Fibroadenoma. Cancer Management and Research. Volume 14. 1515–1524. 8 indexed citations

Lei, Zhiwei, Shifeng Zhu, Xuantong Sun, et al.. (2022). A Multiscale Porous 3D‐Fabric Evaporator with Vertically Aligned Yarns Enables Ultra‐Efficient and Continuous Water Desalination. Advanced Functional Materials. 32(40). 113 indexed citations

Liu, Guifeng, Hongda Chen, Shao‐Nan Yu, Xiaodong Li, & Zhenxin Wang. (2018). CXCR4 Peptide Conjugated Au-Fe2O3 Nanoparticles for Tumor-targeting Magnetic Resonance Imaging. Chemical Research in Chinese Universities. 34(4). 584–589. 6 indexed citations

Liu, Guifeng, Xuefeng Li, Shao‐Nan Yu, Yingying Miao, & Shuhua Zhang. (2018). Efficacy and adverse events of five targeted agents in the treatment of advanced or metastatic non‐small‐cell lung cancer: A network meta‐analysis of nine eligible randomized controlled trials involving 5,059 patients. Journal of Cellular Physiology. 234(4). 3445–3457. 2 indexed citations

Yu, Shao‐Nan, Yan Chen, Xuefeng Li, Zhongli Gao, & Guifeng Liu. (2017). Chitosan nanoparticle-delivered siRNA reduces CXCR4 expression and sensitizes breast cancer cells to cisplatin. Bioscience Reports. 37(3). 22 indexed citations

Yu, Shao‐Nan, et al.. (2017). Evaluation of Prediction of Polymorphisms of DNA Repair Genes on the Efficacy of Platinum‐Based Chemotherapy in Patients With Non‐Small Cell Lung Cancer: A Network Meta‐Analysis. Journal of Cellular Biochemistry. 118(12). 4782–4791. 18 indexed citations

10.

Yu, Shao‐Nan, Xiaozhen Wang, Guifeng Liu, Xuewei Zhu, & Yan Chen. (2013). High level of CXCR4 in triple-negative breast cancer specimens associated with a poor clinical outcome.. PubMed. 67(6). 369–75. 14 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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