Maryellen Sun
Impact in
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- Renal cell carcinoma treatment
- Tracheal and airway disorders
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- MRI in cancer diagnosis 9
- Radiomics and Machine Learning in Medical Imaging 4
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- Renal cell carcinoma treatment 12
- Renal and Vascular Pathologies 6
- Co-authors
- Iván PedrosaNeil M. RofskyElizabeth M. GenegaBettina SiewertMichael B. AtkinsWilliam C. DeWolfLong NgoRobert A. Kane
- Journals
- American Journal of Roentgenology (5 papers)Radiology (5 papers)Abdominal Radiology (4 papers)Seminars in Ultrasound CT and MRI (3 papers)Academic Radiology (2 papers)
- Partner nations
- United StatesIsraelChile
In The Last Decade
Maryellen Sun
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Pulmonary and Respiratory Medicine 790
- Radiology, Nuclear Medicine and Imaging 525
- Hepatology 127
- Anesthesiology and Pain Medicine 62
- Surgery 369
Countries citing papers authored by Maryellen Sun
This map shows the geographic impact of Maryellen Sun'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 Maryellen Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryellen Sun more than expected).
Fields of papers citing papers by Maryellen Sun
This network shows the impact of papers produced by Maryellen Sun. 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 Maryellen Sun. The network helps show where Maryellen Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maryellen Sun, 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 | 2021 | 1 | |
| 2 | 2020 | 10 | |
| 3 | 2020 | 2 | |
| 4 | 2019 | 32 | |
| 5 | 2019 | 3 | |
| 6 | 2017 | 81 | |
| 7 | 2016 | 28 | |
| 8 | 2016 | 9 | |
| 9 | 2016 | 2 | |
| 10 | 2016 | 2 | |
| 11 | 2015 | 24 | |
| 12 | 2012 | 13 | |
| 13 | 2012 | 77 | |
| 14 | 2012 | 10 | |
| 15 | 2012 | 32 | |
| 16 | 2012 | 43 | |
| 17 | 2010 | 27 | |
| 18 | 2009 | 238 | |
| 19 | 2007 | 26 | |
| 20 | 2007 | 113 |
About Maryellen Sun
Maryellen Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (12 papers), MRI in cancer diagnosis (9 papers), Renal and Vascular Pathologies (6 papers), Renal and related cancers (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (790 citations), Radiology, Nuclear Medicine and Imaging (525 citations), Hepatology (127 citations), Anesthesiology and Pain Medicine (62 citations) and Surgery (369 citations). Maryellen Sun has collaborated with scholars based in United States, Israel and Chile. Frequent co-authors include Iván Pedrosa, Neil M. Rofsky, Elizabeth M. Genega, Bettina Siewert, Michael B. Atkins, William C. DeWolf, Long Ngo, Robert A. Kane, Armin Ernst and Phillip M. Boiselle. Their work appears in journals such as American Journal of Roentgenology, Radiology, Abdominal Radiology, Seminars in Ultrasound CT and MRI 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.