Cherry Sit
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
- Clinical Reasoning and Diagnostic Skills
Papers in ⓘ
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- MRI in cancer diagnosis 3
- Radiology practices and education 2
- Autopsy Techniques and Outcomes 1
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- Head and Neck Cancer Studies 2
- Co-authors
- Daniel Poon (1 shared paper)Ashik Amlani (1 shared paper)Keerthini Muthuswamy (1 shared paper)Rohit Srinivasan (1 shared paper)Gopinath Gnanasegaran (2 shared papers)Kanhaiyalal Agrawal (2 shared papers)Ignac Fogelman (2 shared papers)Gary Cook (2 shared papers)
- Journals
- Abdominal Radiology (1 paper)Seminars in Nuclear Medicine (1 paper)Insights into Imaging (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)Cancer Reports (1 paper)
- Partner nations
- United KingdomChina
In The Last Decade
Cherry Sit
7 papers receiving 338 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 254
- Family Practice 27
- General Dentistry 21
- Radiology, Nuclear Medicine and Imaging 162
- Health Information Management 20
Countries citing papers authored by Cherry Sit
This map shows the geographic impact of Cherry Sit'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 Cherry Sit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cherry Sit more than expected).
Fields of papers citing papers by Cherry Sit
This network shows the impact of papers produced by Cherry Sit. 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 Cherry Sit. The network helps show where Cherry Sit may publish in the future.
Co-authors
The 25 scholars most cited alongside Cherry Sit, 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 | 302 | |
| 2 | 2014 | 18 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 8 | |
| 5 | Magnetic resonance venogram of intravenous leiomyomatosis. | 2005 | 7 |
| 6 | 2021 | 5 | |
| 7 | 2015 | 2 |
About Cherry Sit
Cherry Sit is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 7 papers that have together received 351 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (3 papers), Radiology practices and education (2 papers), Head and Neck Cancer Studies (2 papers), Soft tissue tumor case studies (1 paper), Bone health and treatments (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Autopsy Techniques and Outcomes (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (254 citations), Family Practice (27 citations), General Dentistry (21 citations), Radiology, Nuclear Medicine and Imaging (162 citations) and Health Information Management (20 citations). Cherry Sit has collaborated with scholars based in United Kingdom and China. Frequent co-authors include Daniel Poon, Ashik Amlani, Keerthini Muthuswamy, Rohit Srinivasan, Gopinath Gnanasegaran, Kanhaiyalal Agrawal, Ignac Fogelman, Gary Cook, Steve Connor and Vicky Goh. Their work appears in journals such as Abdominal Radiology, Seminars in Nuclear Medicine, Insights into Imaging, Journal of Cancer Research and Clinical Oncology and Cancer Reports.
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.