Max C. Wu
Impact in
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- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Radiation top 10%
- Advanced Radiotherapy Techniques
Papers in
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- Medical Imaging Techniques and Applications 7
- Radiation Dose and Imaging 2
- Advanced MRI Techniques and Applications 2
- Cardiac Imaging and Diagnostics 2
- Corneal Surgery and Treatments 1
- Oncology 4
- Cutaneous Melanoma Detection and Management 4
- Co-authors
- Bruce H. Hasegawa (8 shared papers)Michael W. Dae (4 shared papers)Koji Iwata (5 shared papers)Stanley P. L. Leong (5 shared papers)Kenneth H. Wong (5 shared papers)Hamilton R. Tang (4 shared papers)Mohammed Kashani–Sabet (5 shared papers)Anne E. Sakdinawat (3 shared papers)
- Journals
- Cancer Biotherapy and Radiopharmaceuticals (1 paper)Medical Physics (1 paper)Cancer Control (1 paper)Cancers (1 paper)Academic Radiology (1 paper)
- Partner nations
- United StatesArgentinaTaiwan
In The Last Decade
Max C. Wu
16 papers receiving 367 citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 170
- Radiation 43
- Oncology 76
- Biophysics 18
- Hardware and Architecture 17
Countries citing papers authored by Max C. Wu
This map shows the geographic impact of Max C. 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 Max C. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max C. Wu more than expected).
Fields of papers citing papers by Max C. Wu
This network shows the impact of papers produced by Max C. 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 Max C. Wu. The network helps show where Max C. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Max C. 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 | 2018 | 87 | |
| 2 | 2002 | 74 | |
| 3 | 2003 | 50 | |
| 4 | 2021 | 42 | |
| 5 | 2002 | 38 | |
| 6 | 2001 | 20 | |
| 7 | 2017 | 19 | |
| 8 | 2018 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2002 | 11 | |
| 11 | 2002 | 6 | |
| 12 | 1998 | 4 | |
| 13 | 2002 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | Experimental Validation in a Porcine Model | 2001 | 1 |
About Max C. Wu
Max C. Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering, Hardware and Architecture and Ophthalmology, having authored 16 papers that have together received 388 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Cutaneous Melanoma Detection and Management (4 papers), Advanced X-ray and CT Imaging (4 papers), Radiation Dose and Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers), Cardiac Imaging and Diagnostics (2 papers), Corneal Surgery and Treatments (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (170 citations), Radiation (43 citations), Oncology (76 citations), Biophysics (18 citations) and Hardware and Architecture (17 citations). Max C. Wu has collaborated with scholars based in United States, Argentina and Taiwan. Frequent co-authors include Bruce H. Hasegawa, Michael W. Dae, Koji Iwata, Stanley P. L. Leong, Kenneth H. Wong, Hamilton R. Tang, Mohammed Kashani–Sabet, Anne E. Sakdinawat, Kevin B. Kim and William C. Barber. Their work appears in journals such as Cancer Biotherapy and Radiopharmaceuticals, Medical Physics, Cancer Control, Cancers and Academic Radiology.
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.