Xuelu Li

754 total citations
35 papers, 457 citations indexed

About

Xuelu Li is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Xuelu Li has authored 35 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Xuelu Li's work include Cancer Cells and Metastasis (9 papers), Breast Cancer Treatment Studies (5 papers) and Breast Lesions and Carcinomas (4 papers). Xuelu Li is often cited by papers focused on Cancer Cells and Metastasis (9 papers), Breast Cancer Treatment Studies (5 papers) and Breast Lesions and Carcinomas (4 papers). Xuelu Li collaborates with scholars based in China, United States and Germany. Xuelu Li's co-authors include Zuowei Zhao, Vishal Monga, Yong Wang, Tiantong Guo, Man Li, Pixu Liu, Fuwen Luo, Cong Xu, Venkateswararao Cherukuri and Bo Pan and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Geoscience and Remote Sensing and Carcinogenesis.

In The Last Decade

Xuelu Li

32 papers receiving 448 citations

Peers

Xuelu Li
Daniel Seidl United States
Simon Chen United States
Xiangyu Tan China
Haoqing Shi China
B.J.H. Verwer Netherlands
Jia-Yang Chen China
Aydın Eresen United States
Günter Schmidt United Kingdom
Yunlan Zhou China
Daniel Seidl United States
Xuelu Li
Citations per year, relative to Xuelu Li Xuelu Li (= 1×) peers Daniel Seidl

Countries citing papers authored by Xuelu Li

Since Specialization
Citations

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

Fields of papers citing papers by Xuelu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuelu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xuelu Li. A scholar is included among the top collaborators of Xuelu 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 Xuelu Li. Xuelu 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.
Zheng, Xu, et al.. (2025). A vascularized 3D bioengineered lung tumor model for anticancer drug screening. Cancer Cell International. 25(1). 418–418.
2.
Zhu, Shida, et al.. (2025). Mucinous breast cancer organoids: an in vitro research model. Discover Oncology. 16(1). 814–814.
3.
Li, Xuelu, et al.. (2024). MADS-Box Family Genes in Lagerstroemia indica and Their Involvement in Flower Development. Plants. 13(5). 709–709. 6 indexed citations
4.
Bai, Xue, et al.. (2024). Organoids as a model system for researching human neuroendocrine tumor of the breast. Cancer Cell International. 24(1). 433–433.
5.
Li, Xuelu, et al.. (2023). Advances in breast cancer organoid for individualized treatment. 5. 100028–100028. 4 indexed citations
6.
Xu, Lingzhi, et al.. (2022). A novel mutant PIK3R1EY451delinsD breast cancer patient resistant to HER2-targeted therapy treated with everolimus: a case report. Molecular Biology Reports. 49(7). 6155–6160. 2 indexed citations
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Pan, Bo, Yaqian Liu, Na Li, et al.. (2021). Breast cancer organoids from malignant pleural effusion-derived tumor cells as an individualized medicine platform. In Vitro Cellular & Developmental Biology - Animal. 57(5). 510–518. 17 indexed citations
11.
Pan, Bo, Yaqian Liu, Na Li, et al.. (2020). Establishment and characterization of breast cancer organoids from a patient with mammary Paget’s disease. Cancer Cell International. 20(1). 365–365. 16 indexed citations
12.
Li, Xuelu & Vishal Monga. (2020). Group based deep shared feature learning for fine-grained image classification. arXiv (Cornell University). 143. 9 indexed citations
13.
Li, Xuelu, Bo Pan, Xiaoqing Song, et al.. (2020). Breast cancer organoids from a patient with giant papillary carcinoma as a high-fidelity model. Cancer Cell International. 20(1). 86–86. 27 indexed citations
14.
Li, Xuelu, et al.. (2019). Prognostic significance of LAPTM4B and p27kip1 expression in triple-negative breast cancer. Cancer Biomarkers. 25(1). 19–27. 9 indexed citations
15.
Li, Xuelu, Xiaoqing Song, Jing Ma, et al.. (2019). FSIP1 is correlated with estrogen receptor status and poor prognosis. Molecular Carcinogenesis. 59(1). 126–135. 4 indexed citations
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Niu, Yuna, Yifei Chen, Li Li, et al.. (2019). EVI1 induces autophagy to promote drug resistance via regulation of ATG7 expression in leukemia cells. Carcinogenesis. 41(7). 961–971. 17 indexed citations
18.
Guo, Tiantong, Xuelu Li, Venkateswararao Cherukuri, & Vishal Monga. (2019). Dense Scene Information Estimation Network for Dehazing. 2122–2130. 41 indexed citations
19.
Li, Xuelu, et al.. (2017). High Expression of CCR7 Predicts Lymph Node Metastasis and Good Prognosis in Triple Negative Breast Cancer. Cellular Physiology and Biochemistry. 43(2). 531–539. 32 indexed citations
20.
Li, Xuelu, et al.. (2016). An uncommon recurrence of an immature teratoma: A case report. Oncology Letters. 11(4). 2453–2456. 6 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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2026