Ning Wu

5.8k total citations
176 papers, 2.8k citations indexed

About

Ning Wu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ning Wu has authored 176 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Pulmonary and Respiratory Medicine, 85 papers in Radiology, Nuclear Medicine and Imaging and 45 papers in Oncology. Recurrent topics in Ning Wu's work include Lung Cancer Diagnosis and Treatment (75 papers), Radiomics and Machine Learning in Medical Imaging (68 papers) and Lung Cancer Treatments and Mutations (46 papers). Ning Wu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (75 papers), Radiomics and Machine Learning in Medical Imaging (68 papers) and Lung Cancer Treatments and Mutations (46 papers). Ning Wu collaborates with scholars based in China, United States and United Kingdom. Ning Wu's co-authors include Wei Tang, Meng Li, Ying Song, Jianwei Wang, Matthew D. Cham, Yao Huang, Claudia I. Henschke, Ying Liang, Weimin Li and Shijun Zhao and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ning Wu

166 papers receiving 2.8k 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 Wu China 31 1.5k 1.4k 585 275 264 176 2.8k
Scott Eggener United States 30 2.3k 1.5× 704 0.5× 365 0.6× 366 1.3× 448 1.7× 62 3.0k
Thomas Eade Australia 33 2.1k 1.4× 1.5k 1.1× 353 0.6× 182 0.7× 308 1.2× 145 3.2k
Minglun Li Germany 29 1.2k 0.8× 940 0.7× 370 0.6× 501 1.8× 175 0.7× 102 2.5k
Caroline Rousseau France 34 711 0.5× 1.6k 1.2× 681 1.2× 879 3.2× 355 1.3× 140 3.6k
Nicolas Barry Delongchamps France 30 2.2k 1.4× 613 0.5× 428 0.7× 495 1.8× 485 1.8× 138 3.3k
Wenhui Huang China 24 592 0.4× 966 0.7× 223 0.4× 391 1.4× 253 1.0× 91 2.1k
Gigin Lin Taiwan 30 591 0.4× 1.0k 0.8× 337 0.6× 490 1.8× 300 1.1× 141 2.8k
Rob J. van Klaveren Netherlands 36 3.4k 2.2× 1.5k 1.1× 728 1.2× 443 1.6× 302 1.1× 84 4.4k
Seung Hwan Moon South Korea 27 576 0.4× 809 0.6× 395 0.7× 318 1.2× 266 1.0× 128 2.3k
Meritxell Arenas Spain 23 388 0.3× 688 0.5× 499 0.9× 306 1.1× 408 1.5× 141 2.3k

Countries citing papers authored by Ning Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Wu. A scholar is included among the top collaborators of Ning Wu 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 Wu. Ning Wu 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
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Ou, Yurong, et al.. (2024). The High Expression of SLC7A11 and GPX4 are Significantly Correlated with β-Catenin in Colorectal Cancer. Cancer Management and Research. Volume 16. 1639–1648. 3 indexed citations
4.
Liu, Li, Yao Huang, Jianwei Wang, et al.. (2024). Opportunistic lung cancer screening with low‐dose computed tomography in National Cancer Center of China: The first 14 years' experience. Cancer Medicine. 13(3). e6914–e6914. 6 indexed citations
5.
Yu, Huan, Chaoyang Zhang, Yan Cai, et al.. (2023). Morphological brain alterations in dialysis- and non-dialysis-dependent patients with chronic kidney disease. Metabolic Brain Disease. 38(4). 1311–1321. 2 indexed citations
6.
Wu, Ning, et al.. (2023). Simulation Study of Microwave Ablation of Porous Lung Tissue. Applied Sciences. 13(1). 625–625. 3 indexed citations
7.
Wu, Zheng, Fei Wang, Chao Qin, et al.. (2022). Lung cancer risk prediction models based on pulmonary nodules: A systematic review. Thoracic Cancer. 13(5). 664–677. 34 indexed citations
8.
Ge, Wenzhen, Ning Wu, Jessica J. Jalbert, et al.. (2022). Real-World Outcomes and Prognostic Factors Among Patients with Advanced Non-Small Cell Lung Cancer and High PD-L1 Expression Treated with Immune Checkpoint Inhibitors as First-Line Therapy. Cancer Management and Research. Volume 14. 3191–3202. 4 indexed citations
9.
Wong, William B., Ning Wu, Ravindra K. Gupta, & Aaron S. Mansfield. (2020). Utilization Trends and Factors Associated With ROS1 Testing Among Patients With Advanced Non–small-cell Lung Cancer in US Community Practices. Clinical Lung Cancer. 22(3). e470–e480. 11 indexed citations
10.
Yue, Ming, Nan Wu, Tianyi Qian, et al.. (2020). Progress and Future Trends in PET/CT and PET/MRI Molecular Imaging Approaches for Breast Cancer. Frontiers in Oncology. 10. 1301–1301. 82 indexed citations
11.
Song, Jiangdian, Jingyun Shi, Di Dong, et al.. (2018). A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI Therapy. Clinical Cancer Research. 24(15). 3583–3592. 149 indexed citations
12.
Zhou, Qinghua, Yaguang Fan, Ying Wang, et al.. (2016). [China National Guideline of Classification, Diagnosis and Treatment for Lung Nodules (2016 Version)].. SHILAP Revista de lepidopterología. 19(12). 793–798. 42 indexed citations
13.
Zhang, Li, et al.. (2015). Three-dimensional computerized quantification for lung invasive adenocarcinoma with different histopathological subtypes in clinical stage I. Zhonghua fangshexian yixue zazhi. 49(4). 268–272. 1 indexed citations
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Tang, Wei, Ning Wu, Yao Huang, et al.. (2014). [Results of low-dose computed tomography (LDCT) screening for early lung cancer: prevalence in 4 690 asymptomatic participants].. PubMed. 36(7). 549–54. 29 indexed citations
16.
Wang, Jianwei, et al.. (2012). Computer-aided detection of nodule in low-dose CT screening for lung cancer. Zhonghua fangshexian yixue zazhi. 46(7). 619–623. 2 indexed citations
17.
Tang, Wei, et al.. (2011). The optimization of low-dose scanning protocols of 64-slice spiral CT in the adult chest: a multicenter study. Zhonghua fangshexian yixue zazhi. 45(2). 142–148. 1 indexed citations
18.
Wang, Xiaoyi, et al.. (2010). Computed tomography features of enlarged tonsils as a first symptom of non-Hodgkin's lymphoma. Chinese Journal of Cancer. 29(5). 556–560. 4 indexed citations
19.
Wu, Ning. (2008). Comparison of the Effects of Ibandronate and Bonefos on Non-small Cell Lung Cancer with Bone Metastases. Clinical Oncology and Cancer Research. 1 indexed citations
20.
Wang, Jianwei, Xiaohong Ma, Ning Wu, & Hong‐Tu Zhang. (2007). Atypical adenomatous hyperplasia of the lung: correlation of radiographic and pathologic findings. Zhonghua fangshexian yixue zazhi. 41(5). 483–486. 1 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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