Varut Vardhanabhuti
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- Radiomics and Machine Learning in Medical Imaging 33
- Medical Imaging Techniques and Applications 25
- Advanced MRI Techniques and Applications 13
- MRI in cancer diagnosis 11
- Radiation Dose and Imaging 11
- Health Informatics top 5%
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies 13
- Biomedical Engineering top 5%
- Advanced X-ray and CT Imaging 19
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- Esophageal Cancer Research and Treatment 9
- Co-authors
- Carl RoobottomWeiwen WuHengyong YuChenyi XieK.W. ChiuRichard RiordanJoshua W. K. HoGe Wang
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Varut Vardhanabhuti
107 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Radiology, Nuclear Medicine and Imaging 1.3k
- Health Informatics 44
- Otorhinolaryngology 109
- Biomedical Engineering 613
- Pulmonary and Respiratory Medicine 430
Countries citing papers authored by Varut Vardhanabhuti
This map shows the geographic impact of Varut Vardhanabhuti'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 Varut Vardhanabhuti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varut Vardhanabhuti more than expected).
Fields of papers citing papers by Varut Vardhanabhuti
This network shows the impact of papers produced by Varut Vardhanabhuti. 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 Varut Vardhanabhuti. The network helps show where Varut Vardhanabhuti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Varut Vardhanabhuti, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 62 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 31 | |
| 15 | 2020 | 13 | |
| 16 | 3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks | 2020 | 2 |
| 17 | 2019 | 46 | |
| 18 | 2019 | 12 | |
| 19 | 2012 | 7 | |
| 20 | 2004 | 17 |
About Varut Vardhanabhuti
Varut Vardhanabhuti is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Health Informatics, having authored 110 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (33 papers), Medical Imaging Techniques and Applications (25 papers), Advanced X-ray and CT Imaging (19 papers), Head and Neck Cancer Studies (13 papers), Advanced MRI Techniques and Applications (13 papers), MRI in cancer diagnosis (11 papers), Radiation Dose and Imaging (11 papers) and Esophageal Cancer Research and Treatment (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Health Informatics (44 citations) and Otorhinolaryngology (109 citations). Varut Vardhanabhuti has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Carl Roobottom, Weiwen Wu, Hengyong Yu, Chenyi Xie, K.W. Chiu, Richard Riordan, Joshua W. K. Ho, Ge Wang, Dianlin Hu and Chuang Niu.
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.