Robert Chun Chen
Impact in
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- Ultrasound in Clinical Applications
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- Radiology practices and education
- COVID-19 diagnosis using AI
Papers in
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- Radiology practices and education 3
- COVID-19 diagnosis using AI 2
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- Parkinson's Disease Mechanisms and Treatments 2
- Co-authors
- Bien Soo Tan (3 shared papers)Lionel Tim‐Ee Cheng (3 shared papers)Lai Peng Chan (8 shared papers)Ban Hock Tan (2 shared papers)Kiang Hiong Tay (1 shared paper)Moi Lin Ling (1 shared paper)Hiang Khoon Tan (1 shared paper)David Chee Eng Ng (1 shared paper)
In The Last Decade
Robert Chun Chen
18 papers receiving 144 citations
Peers
Comparison fields: 5 of 47
- Critical Care and Intensive Care Medicine 14
- Radiology, Nuclear Medicine and Imaging 46
- Oncology 45
- Emergency Medical Services 9
- General Dentistry 2
Countries citing papers authored by Robert Chun Chen
This map shows the geographic impact of Robert Chun Chen'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 Robert Chun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Chun Chen more than expected).
Fields of papers citing papers by Robert Chun Chen
This network shows the impact of papers produced by Robert Chun Chen. 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 Robert Chun Chen. The network helps show where Robert Chun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Chun Chen, 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 | 2020 | 46 | |
| 2 | 2020 | 23 | |
| 3 | 2021 | 21 | |
| 4 | 2024 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About Robert Chun Chen
Robert Chun Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology, Oncology, Infectious Diseases and Surgery, having authored 20 papers that have together received 145 indexed citations. Recurring topics across this work include Radiology practices and education (3 papers), COVID-19 diagnosis using AI (2 papers), COVID-19 and healthcare impacts (2 papers), COVID-19 Clinical Research Studies (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Medical and Biological Sciences (1 paper), History of Medicine Studies (1 paper) and Acupuncture Treatment Research Studies (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (14 citations), Radiology, Nuclear Medicine and Imaging (46 citations), Oncology (45 citations), Emergency Medical Services (9 citations) and General Dentistry (2 citations). Robert Chun Chen has collaborated with scholars based in Singapore, Ireland and Taiwan. Frequent co-authors include Bien Soo Tan, Lionel Tim‐Ee Cheng, Lai Peng Chan, Ban Hock Tan, Kiang Hiong Tay, Moi Lin Ling, Hiang Khoon Tan, David Chee Eng Ng, Kun Da Zhuang and Isha Chaudhry. Their work appears in journals such as Frontiers in Aging Neuroscience, Academic Radiology, International Journal of Medical Informatics, American Journal of Roentgenology and Insights into Imaging.
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.