Robin Wang
Impact in
- Health Informatics top 10%
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in ⓘ
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- Gout, Hyperuricemia, Uric Acid 4
- Co-authors
- Yangang Wang (5 shared papers)Xiaoyan He (3 shared papers)Zhengju Fu (2 shared papers)Zishu Zhang (4 shared papers)Zhaohai Jing (3 shared papers)Paul J. Zhang (3 shared papers)Raymond Y. Huang (3 shared papers)Jie Wang (1 shared paper)
- Journals
- Cellular Physiology and Biochemistry (4 papers)International Journal of Cardiology (3 papers)Philosophy East and West (3 papers)Health Affairs (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Robin Wang
28 papers receiving 645 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 14
- Radiology, Nuclear Medicine and Imaging 183
- Nephrology 55
- Obstetrics and Gynecology 47
- Orthopedics and Sports Medicine 50
Countries citing papers authored by Robin Wang
This map shows the geographic impact of Robin 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 Robin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Wang more than expected).
Fields of papers citing papers by Robin Wang
This network shows the impact of papers produced by Robin 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 Robin Wang. The network helps show where Robin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2016 | 57 | |
| 3 | 2020 | 53 | |
| 4 | 2015 | 44 | |
| 5 | 2015 | 44 | |
| 6 | 2020 | 38 | |
| 7 | 2014 | 36 | |
| 8 | 2015 | 35 | |
| 9 | 2020 | 35 | |
| 10 | 2018 | 27 | |
| 11 | 2015 | 24 | |
| 12 | 2020 | 22 | |
| 13 | 2005 | 21 | |
| 14 | 2015 | 18 | |
| 15 | 2015 | 16 | |
| 16 | 2015 | 16 | |
| 17 | 2005 | 16 | |
| 18 | 2015 | 11 | |
| 19 | 2021 | 8 | |
| 20 | 2015 | 6 |
About Robin Wang
Robin Wang is a scholar working on Nephrology, Endocrine and Autonomic Systems, Occupational Therapy, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 32 papers that have together received 661 indexed citations. Recurring topics across this work include Chinese history and philosophy (5 papers), Gout, Hyperuricemia, Uric Acid (4 papers), MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Economic and Financial Impacts of Cancer (2 papers), Healthcare Policy and Management (2 papers), Renal cell carcinoma treatment (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Health Informatics (14 citations), Radiology, Nuclear Medicine and Imaging (183 citations), Nephrology (55 citations), Obstetrics and Gynecology (47 citations) and Orthopedics and Sports Medicine (50 citations). Robin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yangang Wang, Xiaoyan He, Zhengju Fu, Zishu Zhang, Zhaohai Jing, Paul J. Zhang, Raymond Y. Huang, Jie Wang, Wenjun You and Steven L. Percival. Their work appears in journals such as Cellular Physiology and Biochemistry, International Journal of Cardiology, Philosophy East and West, Health Affairs and Clinical Cancer Research.
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.