Dan Wu
Impact in
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
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- Advanced Neuroimaging Techniques and Applications 70
- Advanced MRI Techniques and Applications 51
- MRI in cancer diagnosis 32
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- Neonatal and fetal brain pathology 33
- Fetal and Pediatric Neurological Disorders 30
- Co-authors
- Jiangyang ZhangSusumu MoriYi ZhangMichael I. MillerFrances J. NorthingtonCan CeritogluYue LiYi Sun
- Journals
- NeuroImage (17 papers)Magnetic Resonance in Medicine (16 papers)Journal of Magnetic Resonance Imaging (11 papers)European Radiology (5 papers)Human Brain Mapping (5 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Dan Wu
154 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 146
- Radiology, Nuclear Medicine and Imaging 1.1k
- Cognitive Neuroscience 447
- Developmental Neuroscience 80
- Pediatrics, Perinatology and Child Health 376
- Neurology 144
Countries citing papers authored by Dan Wu
This map shows the geographic impact of Dan 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 Dan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Wu more than expected).
Fields of papers citing papers by Dan Wu
This network shows the impact of papers produced by Dan 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 Dan Wu. The network helps show where Dan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 48 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 9 | |
| 14 | 2021 | 3 | |
| 15 | 2020 | 48 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 15 | |
| 19 | 2017 | 20 | |
| 20 | 2016 | 49 |
About Dan Wu
Dan Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Neurology and Developmental Neuroscience, having authored 170 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (70 papers), Advanced MRI Techniques and Applications (51 papers), Neonatal and fetal brain pathology (33 papers), MRI in cancer diagnosis (32 papers), Functional Brain Connectivity Studies (31 papers), Fetal and Pediatric Neurological Disorders (30 papers), Lanthanide and Transition Metal Complexes (12 papers) and Pregnancy and preeclampsia studies (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cognitive Neuroscience (447 citations), Developmental Neuroscience (80 citations), Pediatrics, Perinatology and Child Health (376 citations) and Neurology (144 citations). Dan Wu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Jiangyang Zhang, Susumu Mori, Yi Zhang, Michael I. Miller, Frances J. Northington, Can Ceritoglu, Yue Li, Yi Sun, Andréia V. Faria and Kenichi Oishi. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, European Radiology and Human Brain Mapping.
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.