Wu Wang
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Monoclonal and Polyclonal Antibodies Research
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- Neuroscience of respiration and sleep
Papers in
- Surgery 12
- Esophageal and GI Pathology 3
- Esophageal Cancer Research and Treatment 3
- Coronary Interventions and Diagnostics 3
- Co-authors
- Kaining Shi (2 shared papers)Yanyan Xu (2 shared papers)Hongliang Sun (2 shared papers)Qiaoyu Xu (2 shared papers)Su Chen (1 shared paper)Jiejiao Zheng (1 shared paper)Xue‐Qiang Wang (1 shared paper)Xiaoling Lü (3 shared papers)
- Journals
- Medicine (3 papers)Cancer Management and Research (2 papers)Bioscience Reports (1 paper)Scientific Reports (1 paper)Aging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Wu Wang
31 papers receiving 312 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 86
- Endocrine and Autonomic Systems 24
- Oncology 96
- Anesthesiology and Pain Medicine 19
- Orthopedics and Sports Medicine 26
Countries citing papers authored by Wu Wang
This map shows the geographic impact of Wu Wang'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 Wu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Wang more than expected).
Fields of papers citing papers by Wu Wang
This network shows the impact of papers produced by Wu Wang. 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 Wu Wang. The network helps show where Wu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Wang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 54 | |
| 2 | 2018 | 37 | |
| 3 | 2013 | 32 | |
| 4 | 2019 | 31 | |
| 5 | 2017 | 21 | |
| 6 | 2016 | 14 | |
| 7 | 2018 | 12 | |
| 8 | 2015 | 11 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2011 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2018 | 4 | |
| 20 | [Vascularized iliac bone grafting for avascular necrosis of the femoral head]. | 2003 | 4 |
About Wu Wang
Wu Wang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Physiology and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 315 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (4 papers), CAR-T cell therapy research (4 papers), Esophageal and GI Pathology (3 papers), Esophageal Cancer Research and Treatment (3 papers), Coronary Interventions and Diagnostics (3 papers), Airway Management and Intubation Techniques (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (86 citations), Endocrine and Autonomic Systems (24 citations), Oncology (96 citations), Anesthesiology and Pain Medicine (19 citations) and Orthopedics and Sports Medicine (26 citations). Wu Wang has collaborated with scholars based in China and United States. Frequent co-authors include Kaining Shi, Yanyan Xu, Hongliang Sun, Qiaoyu Xu, Su Chen, Jiejiao Zheng, Xue‐Qiang Wang, Xiaoling Lü, Jianhong Liu and Fengzhen Mo. Their work appears in journals such as Medicine, Cancer Management and Research, Bioscience Reports, Scientific Reports and Aging.
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.