Xiaonan Cui

1.0k total citations
68 papers, 738 citations indexed

About

Xiaonan Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Xiaonan Cui has authored 68 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pulmonary and Respiratory Medicine and 21 papers in Molecular Biology. Recurrent topics in Xiaonan Cui's work include Radiomics and Machine Learning in Medical Imaging (24 papers), Lung Cancer Diagnosis and Treatment (18 papers) and Lung Cancer Treatments and Mutations (6 papers). Xiaonan Cui is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (24 papers), Lung Cancer Diagnosis and Treatment (18 papers) and Lung Cancer Treatments and Mutations (6 papers). Xiaonan Cui collaborates with scholars based in China, Netherlands and United States. Xiaonan Cui's co-authors include Zhaoxiang Ye, Matthijs Oudkerk, Brenda E. Porter, Rozemarijn Vliegenthart, Sunyi Zheng, Amy R. Brooks‐Kayal, Geertruida H. de Bock, Wenjuan Ma, Grigory Sidorenkov and Xubin Li and has published in prestigious journals such as Scientific Reports, Radiology and Journal of Colloid and Interface Science.

In The Last Decade

Xiaonan Cui

63 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaonan Cui China 17 245 194 182 171 82 68 738
Yu Jiang China 17 301 1.2× 154 0.8× 180 1.0× 108 0.6× 98 1.2× 86 857
Jianpeng Li China 17 209 0.9× 82 0.4× 143 0.8× 99 0.6× 80 1.0× 69 912
Valentina Bravatà Italy 19 363 1.5× 276 1.4× 205 1.1× 217 1.3× 194 2.4× 43 999
Sandra O’Reilly United States 18 458 1.9× 97 0.5× 241 1.3× 110 0.6× 147 1.8× 29 881
Jiahui Yang China 14 381 1.6× 87 0.4× 83 0.5× 184 1.1× 48 0.6× 52 686
Manman Xu China 16 214 0.9× 71 0.4× 112 0.6× 90 0.5× 122 1.5× 72 701
Suhua Nie United States 18 363 1.5× 223 1.1× 150 0.8× 82 0.5× 111 1.4× 24 761
Wenjie Chen China 21 482 2.0× 145 0.7× 195 1.1× 212 1.2× 285 3.5× 79 1.3k
Begoña Lavín United Kingdom 16 258 1.1× 218 1.1× 105 0.6× 49 0.3× 74 0.9× 32 907

Countries citing papers authored by Xiaonan Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaonan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaonan Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaonan Cui. A scholar is included among the top collaborators of Xiaonan Cui 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 Xiaonan Cui. Xiaonan Cui 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.
Zheng, Sunyi, Jing Wang, Dongsheng Yue, et al.. (2025). Comparison of a Specialized Large Language Model with GPT-4o for CT and MRI Radiology Report Summarization. Radiology. 316(2). e243774–e243774. 1 indexed citations
3.
Zheng, Sunyi, Xiaonan Cui, Yuxuan Sun, et al.. (2024). Benchmarking PathCLIP for Pathology Image Analysis. Journal of Imaging Informatics in Medicine. 38(1). 422–438. 8 indexed citations
4.
Liu, Yanbei, et al.. (2024). Deep learning model combined with computed tomography features to preoperatively predicting the risk stratification of gastrointestinal stromal tumors. World Journal of Gastrointestinal Oncology. 16(12). 4663–4674. 1 indexed citations
5.
Wu, Tong, Yujun Li, Xiaonan Cui, & Chunxia Zhang. (2023). Case Report: Replacement of PD-1 inhibitors with PD-L1 inhibitors in the treatment of squamous non-small-cell lung carcinoma. Frontiers in Immunology. 14. 1243980–1243980. 1 indexed citations
6.
Cui, Xiaonan, Lei Zheng, Wenjuan Ma, et al.. (2022). Prognostic value of desmoplastic stromal reaction, tumor budding and tumor-stroma ratio in stage II colorectal cancer. Journal of Gastrointestinal Oncology. 13(6). 2903–2921. 10 indexed citations
7.
Li, Qizheng, Xia Zhang, Yudie Yang, et al.. (2022). Anlotinib combined with TAS-102 as the third-line treatment for a patient with metastatic colon cancer: A case report. Frontiers in Oncology. 12. 978005–978005.
8.
Cui, Xiaonan, Marjolein A. Heuvelmans, Daiwei Han, et al.. (2020). A Subsolid Nodules Imaging Reporting System (SSN-IRS) for Classifying 3 Subtypes of Pulmonary Adenocarcinoma. Clinical Lung Cancer. 21(4). 314–325.e4. 7 indexed citations
9.
Cui, Xiaonan, Marjolein A. Heuvelmans, Daiwei Han, et al.. (2020). Optimization of CT windowing for diagnosing invasiveness of adenocarcinoma presenting as sub-solid nodules. European Journal of Radiology. 128. 108981–108981. 2 indexed citations
10.
Du, Yihui, Grigory Sidorenkov, Geertruida H. de Bock, et al.. (2019). Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study. Cancer Biology and Medicine. 16(1). 181–181. 14 indexed citations
11.
Cui, Xiaonan, Marjolein A. Heuvelmans, Daiwei Han, et al.. (2019). Comparison of Veterans Affairs, Mayo, Brock classification models and radiologist diagnosis for classifying the malignancy of pulmonary nodules in Chinese clinical population. Translational Lung Cancer Research. 8(5). 605–613. 18 indexed citations
13.
Pan, Zhe, Yunpeng Xie, Jie Bai, et al.. (2018). Bufalin suppresses colorectal cancer cell growth through promoting autophagyin vivoandin vitro. RSC Advances. 8(68). 38910–38918. 10 indexed citations
14.
Cui, Xiaonan, et al.. (2016). Main gases and kinetics of coal pyrolysis. 44(6). 37. 2 indexed citations
15.
Zhang, Ningning, Yunpeng Xie, Yingying Gao, et al.. (2016). Bufalin Inhibits hTERT Expression and Colorectal Cancer Cell Growth by Targeting CPSF4. Cellular Physiology and Biochemistry. 40(6). 1559–1569. 29 indexed citations
16.
Ye, Zhaoxiang, et al.. (2015). Clinical value of multislice spiral computed tomography examination on risk assessment of gastrointestinal stromal tumor. Zhōnghuá xiāohuà wàikē zázhì/Zhonghua xiaohua waike zazhi. 14(3). 242–247. 1 indexed citations
17.
Yang, Xuan, Jingshu Wang, Zhenglin Li, et al.. (2015). hnRNPA2/B1 activates cyclooxygenase‐2 and promotes tumor growth in human lung cancers. Molecular Oncology. 10(4). 610–624. 36 indexed citations
18.
Cui, Xiaonan. (2013). The effect of cinobufacini injection on proliferation and tube-like structure formation of human lymphatic endothelial cells. Zhongguo aizheng zazhi. 1 indexed citations
19.
Cui, Xiaonan. (2010). The effect of cinobufacini injection on DNA topoisomerase I of human hepatocellular carcinoma HepG-2 cells. Zhongguo aizheng zazhi. 1 indexed citations
20.
Varodayan, Florence P., Zhu Xin-jian, Xiaonan Cui, & Brenda E. Porter. (2009). Seizures increase cell proliferation in the dentate gyrus by shortening progenitor cell‐cycle length. Epilepsia. 50(12). 2638–2647. 21 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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