Ning Wu
Impact in
-
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Lung Cancer Diagnosis and Treatment 68
- Lung Cancer Treatments and Mutations 32
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- Radiomics and Machine Learning in Medical Imaging 38
- Medical Imaging Techniques and Applications 10
- MRI in cancer diagnosis 9
- Co-authors
- Wei Liang Tang (21 shared papers)Meng Li (17 shared papers)Ying Song (3 shared papers)Jianwei Wang (5 shared papers)Yao Huang (19 shared papers)Matt Cham (1 shared paper)Claudia I. Henschke (3 shared papers)Ying Liang (9 shared papers)
- Journals
- Journal of Thoracic Oncology (8 papers)Radiology (5 papers)PLoS ONE (5 papers)Scientific Reports (5 papers)Cancer Imaging (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ning Wu
199 papers receiving 4.4k citations
Ning Wu's Hit Papers
Peers
Comparison fields: 5 of 133
- Pulmonary and Respiratory Medicine 2.0k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Oncology 824
- Cancer Research 289
- Health Informatics 16
Countries citing papers authored by Ning Wu
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
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-authors
The 25 scholars most cited alongside Ning Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neoadjuvant PD-1 inhibitor (Sintilimab) in NSCLC Hit paper breakdown → | 2020 | 334 |
| 2 | 2017 | 271 | |
| 3 | 2018 | 161 | |
| 4 | 2016 | 144 | |
| 5 | 2009 | 125 | |
| 6 | 2019 | 113 | |
| 7 | 2006 | 105 | |
| 8 | 2018 | 94 | |
| 9 | 2020 | 92 | |
| 10 | 2019 | 88 | |
| 11 | 2015 | 84 | |
| 12 | 2015 | 79 | |
| 13 | 2020 | 76 | |
| 14 | 2015 | 74 | |
| 15 | 2019 | 73 | |
| 16 | 2021 | 72 | |
| 17 | 2020 | 59 | |
| 18 | 2006 | 55 | |
| 19 | 2015 | 54 | |
| 20 | 2013 | 52 |
About Ning Wu
Ning Wu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Otorhinolaryngology and Aquatic Science, having authored 208 papers that have together received 4.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (68 papers), Radiomics and Machine Learning in Medical Imaging (38 papers), Lung Cancer Treatments and Mutations (32 papers), Medical Imaging Techniques and Applications (10 papers), MRI in cancer diagnosis (9 papers), Cancer Immunotherapy and Biomarkers (9 papers), Advanced X-ray and CT Imaging (8 papers) and Global Cancer Incidence and Screening (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.0k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Oncology (824 citations), Cancer Research (289 citations) and Health Informatics (16 citations). Ning Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei Liang Tang, Meng Li, Ying Song, Jianwei Wang, Yao Huang, Matt Cham, Claudia I. Henschke, Ying Liang, Weimin Li and Li Zhang. Their work appears in journals such as Journal of Thoracic Oncology, Radiology, PLoS ONE, Scientific Reports and Cancer Imaging.
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.