Wei Wu
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
Papers in
- Oncology 22
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Yuqing Jin (4 shared papers)Boni Ding (4 shared papers)Liyuan Qian (3 shared papers)Xu Li (1 shared paper)Xue Tang (2 shared papers)Guangbo Qu (2 shared papers)Yehuan Sun (2 shared papers)Ning Xie (1 shared paper)
- Journals
- Medical Physics (2 papers)International Journal of Human-Computer Interaction (2 papers)OncoTargets and Therapy (2 papers)Environmental Research (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Wu
116 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 141
- Health Informatics 86
- Cancer Research 252
- Oncology 279
- Gastroenterology 52
- Pathology and Forensic Medicine 156
Countries citing papers authored by Wei Wu
This map shows the geographic impact of Wei 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 Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wu more than expected).
Fields of papers citing papers by Wei Wu
This network shows the impact of papers produced by Wei 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 Wei Wu. The network helps show where Wei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 131 | |
| 2 | 2014 | 110 | |
| 3 | 2015 | 91 | |
| 4 | 2016 | 78 | |
| 5 | 2021 | 74 | |
| 6 | 2017 | 62 | |
| 7 | 2011 | 57 | |
| 8 | 2019 | 48 | |
| 9 | Prognostic significance of CXCL12, CXCR4, and CXCR7 in patients with breast cancer. | 2015 | 44 |
| 10 | 2018 | 41 | |
| 11 | 2014 | 41 | |
| 12 | 2020 | 36 | |
| 13 | 2019 | 30 | |
| 14 | 2024 | 25 | |
| 15 | 2008 | 24 | |
| 16 | 2019 | 22 | |
| 17 | 2008 | 22 | |
| 18 | 2020 | 20 | |
| 19 | 2016 | 19 | |
| 20 | 2011 | 18 |
About Wei Wu
Wei Wu is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 126 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Estrogen and related hormone effects (4 papers), Tuberculosis Research and Epidemiology (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Immunotherapy and Immune Responses (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Health Informatics (86 citations), Cancer Research (252 citations), Oncology (279 citations), Gastroenterology (52 citations) and Pathology and Forensic Medicine (156 citations). Wei Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuqing Jin, Boni Ding, Liyuan Qian, Xu Li, Xue Tang, Guangbo Qu, Yehuan Sun, Ning Xie, Yongzeng Feng and Lingxiao Pan. Their work appears in journals such as Medical Physics, International Journal of Human-Computer Interaction, OncoTargets and Therapy, Environmental Research and Oncotarget.
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.