Vinay Duddalwar
Impact in
- Health Informatics top 1%
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management
Papers in
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- Radiomics and Machine Learning in Medical Imaging 59
- MRI in cancer diagnosis 19
-
- Renal cell carcinoma treatment 42
- Prostate Cancer Diagnosis and Treatment 19
- Prostate Cancer Treatment and Research 16
- Co-authors
- Bino VargheseDarryl HwangInderbir S. GillSteven CenAndre Luis AbreuManju AronBhushan DesaiMihir Desai
- Journals
- The Journal of Urology (20 papers)Journal of Clinical Oncology (9 papers)American Journal of Roentgenology (8 papers)British Journal of Radiology (6 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Vinay Duddalwar
155 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 136
- Health Informatics 120
- Internal Medicine 233
- Radiology, Nuclear Medicine and Imaging 1.3k
- Pulmonary and Respiratory Medicine 1.4k
- Surgery 896
Countries citing papers authored by Vinay Duddalwar
This map shows the geographic impact of Vinay Duddalwar'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 Vinay Duddalwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Duddalwar more than expected).
Fields of papers citing papers by Vinay Duddalwar
This network shows the impact of papers produced by Vinay Duddalwar. 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 Vinay Duddalwar. The network helps show where Vinay Duddalwar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vinay Duddalwar, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 5 | |
| 12 | 2019 | 63 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 13 | |
| 15 | 2017 | 43 | |
| 16 | 2016 | 1 | |
| 17 | 2015 | 5 | |
| 18 | 2015 | 23 | |
| 19 | 2014 | 8 | |
| 20 | 2010 | 107 |
About Vinay Duddalwar
Vinay Duddalwar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Health Informatics, Surgery and Rheumatology, having authored 163 papers that have together received 3.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (59 papers), Renal cell carcinoma treatment (42 papers), Advanced X-ray and CT Imaging (27 papers), MRI in cancer diagnosis (19 papers), Prostate Cancer Diagnosis and Treatment (19 papers), Prostate Cancer Treatment and Research (16 papers), Renal and related cancers (15 papers) and Urologic and reproductive health conditions (11 papers). The work is most often cited by research in Health Informatics (120 citations), Internal Medicine (233 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Pulmonary and Respiratory Medicine (1.4k citations) and Surgery (896 citations). Vinay Duddalwar has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Bino Varghese, Darryl Hwang, Inderbir S. Gill, Steven Cen, Andre Luis Abreu, Manju Aron, Bhushan Desai, Mihir Desai, Osamu Ukimura and Siamak Daneshmand. Their work appears in journals such as The Journal of Urology, Journal of Clinical Oncology, American Journal of Roentgenology, British Journal of Radiology and Scientific Reports.
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.