Ning Xue

614 total citations
33 papers, 399 citations indexed

About

Ning Xue is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ning Xue has authored 33 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 9 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ning Xue's work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Lipids, and Metabolism (4 papers). Ning Xue is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Lipids, and Metabolism (4 papers). Ning Xue collaborates with scholars based in China and United States. Ning Xue's co-authors include Shan Xing, Shulin Chen, Qingxia Xu, Wanli Liu, Yanzhen Lai, Wanli Liu, Qi Huang, Yi He, Tao Zeng and Xia He and has published in prestigious journals such as The Science of The Total Environment, International Journal of Molecular Sciences and Oncotarget.

In The Last Decade

Ning Xue

31 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Xue China 12 152 139 107 103 49 33 399
Tai‐Jan Chiu Taiwan 13 100 0.7× 161 1.2× 196 1.8× 97 0.9× 107 2.2× 56 431
Renfang Xu China 13 311 2.0× 362 2.6× 143 1.3× 148 1.4× 106 2.2× 50 697
Pietro Di Marino Italy 10 91 0.6× 118 0.8× 260 2.4× 107 1.0× 45 0.9× 24 423
Timothy F. Shepard United States 9 143 0.9× 188 1.4× 150 1.4× 253 2.5× 74 1.5× 10 504
Tomoya Fukawa Japan 11 60 0.4× 164 1.2× 78 0.7× 104 1.0× 116 2.4× 62 392
Zejia Sun China 12 128 0.8× 183 1.3× 50 0.5× 113 1.1× 69 1.4× 40 413
Jieheng Wu China 13 85 0.6× 233 1.7× 132 1.2× 135 1.3× 31 0.6× 26 492
Teruaki Kumazawa Japan 16 139 0.9× 264 1.9× 124 1.2× 243 2.4× 180 3.7× 43 649
Hongjiang Song China 16 157 1.0× 158 1.1× 274 2.6× 159 1.5× 111 2.3× 29 552

Countries citing papers authored by Ning Xue

Since Specialization
Citations

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

Fields of papers citing papers by Ning Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Xue. A scholar is included among the top collaborators of Ning Xue 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 Ning Xue. Ning Xue 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.
Chen, Jing, Hong-Wei Sun, Yun‐Fei Zhang, et al.. (2025). Glutamate promotes CCL2 expression to recruit tumor-associated macrophages by restraining EZH2-mediated histone methylation in hepatocellular carcinoma. OncoImmunology. 14(1). 2497172–2497172.
2.
Ma, Yanfei, et al.. (2024). Numerical analysis of fractional‐order Euler–Bernoulli beam model under composite model. Mathematical Methods in the Applied Sciences. 48(2). 2434–2445. 2 indexed citations
3.
Xue, Ning, et al.. (2023). Treosulfan Versus Busulfan-based Conditioning in Pediatric Patients Undergoing Hematopoietic Stem Cell Transplantation: A Systematic Review and Meta-analysis. Journal of Pediatric Hematology/Oncology. 45(7). 370–376. 2 indexed citations
4.
Jiang, Yu, Shulin Chen, Yaxian Wu, et al.. (2022). Establishment and validation of a novel prognostic model for non-virus-related hepatocellular carcinoma. Cancer Cell International. 22(1). 300–300. 5 indexed citations
5.
Li, Shuaishuai, et al.. (2022). Development and validation of nomograms predicting postoperative survival in patients with chromophobe renal cell carcinoma. Frontiers in Oncology. 12. 982833–982833. 1 indexed citations
6.
Xue, Ning, et al.. (2021). Development and validation of a risk prediction score for patients with nasopharyngeal carcinoma. Cancer Cell International. 21(1). 452–452. 7 indexed citations
7.
He, Xia, Ning Xue, Xiaohua Liu, et al.. (2021). A novel clinical model for predicting malignancy of solitary pulmonary nodules: a multicenter study in chinese population. Cancer Cell International. 21(1). 115–115. 6 indexed citations
8.
Xing, Shan, et al.. (2020). Plasma Macrophage Inhibitory Cytokine-1 as a Complement of Epstein-Barr Virus Related Markers in Identifying Nasopharyngeal Carcinoma. Technology in Cancer Research & Treatment. 19. 1079224639–1079224639. 1 indexed citations
9.
Huang, Zhiliang, et al.. (2020). Establishment and Validation of Nomogram Model Integrated With Inflammation-Based Factors for the Prognosis of Advanced Non-Small Cell Lung Cancer. Technology in Cancer Research & Treatment. 19. 1079239253–1079239253. 3 indexed citations
10.
Chen, Hao, Yanling Ding, Qi Chen, et al.. (2020). Preliminary evaluation of a candidate international reference for Epstein–Barr virus capsid antigen immunoglobulin A in China. Infectious Agents and Cancer. 15(1). 25–25. 1 indexed citations
11.
Luo, Xiaojun, Yuchuan Jiang, Yue Luo, et al.. (2020). Dexmedetomidine promotes the progression of hepatocellular carcinoma through hepatic stellate cell activation. Experimental & Molecular Medicine. 52(7). 1062–1074. 34 indexed citations
12.
Xue, Ning, et al.. (2019). Tasks Offloading and Resource Scheduling Algorithm Based on Deep Reinforcement Learning in MEC. Beijing Youdian Xueyuan xuebao. 42(6). 64. 1 indexed citations
13.
Xue, Ning, et al.. (2019). Prognostic Significance of Peripheral Blood Lymphocyte Subsets in Patients with Hematologic Malignancies. Zhongguo shengwu gongcheng zazhi. 39(9). 50–57. 1 indexed citations
14.
Xing, Shan, Tao Zeng, Ning Xue, et al.. (2019). Development and Validation of Tumor-educated Blood Platelets Integrin Alpha 2b (ITGA2B) RNA for Diagnosis and Prognosis of Non-small-cell Lung Cancer through RNA-seq. International Journal of Biological Sciences. 15(9). 1977–1992. 51 indexed citations
15.
Chen, Shulin, et al.. (2019). Prognostic nomogram integrated baseline serum lipids for patients with non-esophageal squamous cell carcinoma. Annals of Translational Medicine. 7(20). 548–548. 9 indexed citations
16.
Liang, Yiran, Ning Xue, Xiaoyan Wang, Xiaoqiang Ding, & Yi Fang. (2019). Superagonistic CD28 protects against renal ischemia injury induced fibrosis through a regulatory T-cell expansion dependent mechanism. BMC Nephrology. 20(1). 407–407.
17.
Chen, Shulin, et al.. (2018). Prognostic Dynamic Nomogram Integrated with Inflammation-Based Factors for Non-Small Cell Lung Cancer Patients with Chronic Hepatitis B Viral Infection. International Journal of Biological Sciences. 14(13). 1813–1821. 7 indexed citations
19.
Zeng, Qiuyao, Ning Xue, Danian Dai, et al.. (2017). A Nomogram based on Inflammatory Factors C-Reactive Protein and Fibrinogen to Predict the Prognostic Value in Patients with Resected Non-Small Cell Lung Cancer. Journal of Cancer. 8(5). 744–753. 29 indexed citations
20.
Li, Yan, Bo Chen, Yong Du, et al.. (2017). Elevated expression of CST1 promotes breast cancer progression and predicts a poor prognosis. Journal of Molecular Medicine. 95(8). 873–886. 68 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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