Thomas Song
Impact in
- Health Informatics top 2%
- Internal Medicine top 5%
Papers in
-
- Cardiac Valve Diseases and Treatments 9
- Cardiac Arrhythmias and Treatments 5
- Atrial Fibrillation Management and Outcomes 5
-
- Cardiac Imaging and Diagnostics 8
- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 3
- Co-authors
- Dee Dee Wang (12 shared papers)Milan Pantelic (12 shared papers)Adam B. Greenbaum (7 shared papers)William W. O’Neill (11 shared papers)Marvin H. Eng (7 shared papers)Eric Myers (5 shared papers)Jeffrey Nadig (6 shared papers)Patrick Karabon (2 shared papers)
- Journals
- Academic Radiology (3 papers)JACC. Cardiovascular imaging (3 papers)Journal of the American College of Cardiology (3 papers)Radiology (2 papers)Catheterization and Cardiovascular Interventions (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Thomas Song
26 papers receiving 977 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 54
- Internal Medicine 87
- Radiology, Nuclear Medicine and Imaging 456
- Cardiology and Cardiovascular Medicine 427
- Critical Care and Intensive Care Medicine 49
Countries citing papers authored by Thomas Song
This map shows the geographic impact of Thomas Song'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 Thomas Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Song more than expected).
Fields of papers citing papers by Thomas Song
This network shows the impact of papers produced by Thomas Song. 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 Thomas Song. The network helps show where Thomas Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Song, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 176 | |
| 2 | 2017 | 122 | |
| 3 | 2016 | 107 | |
| 4 | 2020 | 95 | |
| 5 | 2009 | 88 | |
| 6 | 2016 | 88 | |
| 7 | 2018 | 59 | |
| 8 | 2012 | 42 | |
| 9 | 2015 | 39 | |
| 10 | 2010 | 36 | |
| 11 | 2016 | 32 | |
| 12 | 2020 | 21 | |
| 13 | Coronary computed tomography angiography in dialysis patients undergoing pre-renal transplantation cardiac risk stratification. | 2010 | 20 |
| 14 | 2007 | 19 | |
| 15 | 2020 | 16 | |
| 16 | 2007 | 12 | |
| 17 | 2012 | 8 | |
| 18 | 2019 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2020 | 2 |
About Thomas Song
Thomas Song is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Epidemiology, having authored 31 papers that have together received 997 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Cardiac Imaging and Diagnostics (8 papers), Infective Endocarditis Diagnosis and Management (6 papers), Cardiac Arrhythmias and Treatments (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (54 citations), Internal Medicine (87 citations), Radiology, Nuclear Medicine and Imaging (456 citations), Cardiology and Cardiovascular Medicine (427 citations) and Critical Care and Intensive Care Medicine (49 citations). Thomas Song has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Dee Dee Wang, Milan Pantelic, Adam B. Greenbaum, William W. O’Neill, Marvin H. Eng, Eric Myers, Jeffrey Nadig, Patrick Karabon, Janet Wyman and David L. Spizarny. Their work appears in journals such as Academic Radiology, JACC. Cardiovascular imaging, Journal of the American College of Cardiology, Radiology and Catheterization and Cardiovascular Interventions.
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.