Michael Kuo
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- Radiomics and Machine Learning in Medical Imaging 23
- Medical Imaging Techniques and Applications 7
- COVID-19 diagnosis using AI 4
- Health Informatics top 0.5%
- Hepatology top 1%
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- Lung Cancer Diagnosis and Treatment 4
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- Glioma Diagnosis and Treatment 5
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- Venous Thromboembolism Diagnosis and Management 5
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- Viral-associated cancers and disorders 4
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- Coronary Interventions and Diagnostics 4
- Co-authors
- Robert C. OrthAaron M. RutmanMichael B. WallaceElaine LeeChristine Shing-Yen LoMing‐Yen NgMacy Mei‐Sze LuiClaude B. Sirlin
- Journals
- Journal of Vascular and Interventional Radiology (19 papers)Radiology (10 papers)European Radiology (2 papers)
- Partner nations
- United StatesHong KongUnited Kingdom
In The Last Decade
Michael Kuo
70 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Radiology, Nuclear Medicine and Imaging 3.5k
- Health Informatics 205
- Hepatology 621
- Critical Care and Intensive Care Medicine 311
- Pulmonary and Respiratory Medicine 1.5k
Countries citing papers authored by Michael Kuo
This map shows the geographic impact of Michael Kuo'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 Michael Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kuo more than expected).
Fields of papers citing papers by Michael Kuo
This network shows the impact of papers produced by Michael Kuo. 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 Michael Kuo. The network helps show where Michael Kuo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Kuo, 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 | 2023 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 11 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 4 | |
| 7 | 2016 | 31 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 57 | |
| 10 | 2013 | 12 | |
| 11 | 2013 | 103 | |
| 12 | 2013 | 77 | |
| 13 | 2011 | 4 | |
| 14 | 2010 | 7 | |
| 15 | 2009 | 233 | |
| 16 | 2008 | 345 | |
| 17 | 2008 | 250 | |
| 18 | 2007 | 3 | |
| 19 | 2007 | 462 | |
| 20 | 2006 | 14 |
About Michael Kuo
Michael Kuo is a scholar working on Radiology, Nuclear Medicine and Imaging, Internal Medicine and Health Informatics, having authored 70 papers that have together received 5.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), Medical Imaging Techniques and Applications (7 papers), Glioma Diagnosis and Treatment (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Viral-associated cancers and disorders (4 papers), Coronary Interventions and Diagnostics (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.5k citations), Health Informatics (205 citations) and Hepatology (621 citations). Michael Kuo has collaborated with scholars based in United States, Hong Kong and United Kingdom. Frequent co-authors include Robert C. Orth, Aaron M. Rutman, Michael B. Wallace, Elaine Lee, Christine Shing-Yen Lo, Ming‐Yen Ng, Macy Mei‐Sze Lui, Claude B. Sirlin, Ronald L. Korn and Shota Yamamoto. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Radiology, European Radiology, Proceedings of the National Academy of Sciences and American Journal of Roentgenology.
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.