Chintana Paramagul
Impact in
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- AI in cancer detection 29
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- Radiomics and Machine Learning in Medical Imaging 21
- MRI in cancer diagnosis 5
- Medical Imaging Techniques and Applications 3
- Co-authors
- Mark A. Helvie (32 shared papers)Heang‐Ping Chan (46 shared papers)Lubomir M. Hadjiiski (43 shared papers)Marilyn A. Roubidoux (24 shared papers)Berkman Sahiner (30 shared papers)Dorit D. Adler (10 shared papers)Alexis V. Nees (18 shared papers)Nicholas Petrick (10 shared papers)
- Journals
- Radiology (13 papers)Medical Physics (10 papers)Academic Radiology (4 papers)American Journal of Roentgenology (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- United StatesThailandSouth Korea
In The Last Decade
Chintana Paramagul
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 96
- Health Informatics 59
- Radiology, Nuclear Medicine and Imaging 837
- Artificial Intelligence 840
- Cancer Research 297
- Pathology and Forensic Medicine 344
Countries citing papers authored by Chintana Paramagul
This map shows the geographic impact of Chintana Paramagul'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 Chintana Paramagul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chintana Paramagul more than expected).
Fields of papers citing papers by Chintana Paramagul
This network shows the impact of papers produced by Chintana Paramagul. 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 Chintana Paramagul. The network helps show where Chintana Paramagul may publish in the future.
Co-authors
The 25 scholars most cited alongside Chintana Paramagul, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 188 | |
| 2 | 2017 | 154 | |
| 3 | 2001 | 136 | |
| 4 | 2007 | 110 | |
| 5 | 2004 | 109 | |
| 6 | 2005 | 109 | |
| 7 | 2006 | 96 | |
| 8 | 2017 | 94 | |
| 9 | 1993 | 91 | |
| 10 | 1995 | 82 | |
| 11 | 2012 | 82 | |
| 12 | 2004 | 72 | |
| 13 | 2004 | 67 | |
| 14 | 2004 | 53 | |
| 15 | 1979 | 50 | |
| 16 | 2019 | 49 | |
| 17 | 2014 | 44 | |
| 18 | 2020 | 44 | |
| 19 | 1995 | 38 | |
| 20 | 2014 | 33 |
About Chintana Paramagul
Chintana Paramagul is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include AI in cancer detection (29 papers), Radiomics and Machine Learning in Medical Imaging (21 papers), Colorectal Cancer Screening and Detection (11 papers), Digital Radiography and Breast Imaging (8 papers), Bladder and Urothelial Cancer Treatments (6 papers), Breast Lesions and Carcinomas (6 papers), MRI in cancer diagnosis (5 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (59 citations), Radiology, Nuclear Medicine and Imaging (837 citations), Artificial Intelligence (840 citations), Cancer Research (297 citations) and Pathology and Forensic Medicine (344 citations). Chintana Paramagul has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Mark A. Helvie, Heang‐Ping Chan, Lubomir M. Hadjiiski, Marilyn A. Roubidoux, Berkman Sahiner, Dorit D. Adler, Alexis V. Nees, Nicholas Petrick, M A Helvie and Caroline E. Blane. Their work appears in journals such as Radiology, Medical Physics, Academic Radiology, American Journal of Roentgenology and Breast Cancer Research and Treatment.
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.