V S Lee
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Advanced MRI Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 1
- MRI in cancer diagnosis 1
-
- Parathyroid Disorders and Treatments 4
- Co-authors
- Neil M. Rofsky (6 shared papers)Glenn A. Krinsky (6 shared papers)R. Edward Coleman (4 shared papers)S. Martinez (2 shared papers)Charles E. Spritzer (3 shared papers)George S. Leight (3 shared papers)Gerhard Laub (1 shared paper)David Thomasson (1 shared paper)
- Journals
- Radiology (7 papers)American Journal of Roentgenology (6 papers)Journal of Bone and Mineral Research (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
V S Lee
14 papers receiving 633 citations
Peers
Comparison fields: 5 of 62
- Nephrology 126
- Hepatology 98
- Radiology, Nuclear Medicine and Imaging 204
- Pulmonary and Respiratory Medicine 138
- Pathology and Forensic Medicine 52
Countries citing papers authored by V S Lee
This map shows the geographic impact of V S Lee'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 V S Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V S Lee more than expected).
Fields of papers citing papers by V S Lee
This network shows the impact of papers produced by V S Lee. 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 V S Lee. The network helps show where V S Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside V S Lee, 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 | 2000 | 144 | |
| 2 | 1997 | 88 | |
| 3 | 1999 | 69 | |
| 4 | 1997 | 68 | |
| 5 | 1995 | 53 | |
| 6 | 1996 | 49 | |
| 7 | 2001 | 42 | |
| 8 | 1996 | 40 | |
| 9 | 1996 | 40 | |
| 10 | 1999 | 27 | |
| 11 | 1998 | 19 | |
| 12 | 1997 | 10 | |
| 13 | 1999 | 4 | |
| 14 | 1999 | 3 |
About V S Lee
V S Lee is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology, Pulmonary and Respiratory Medicine, Internal Medicine and Oncology, having authored 14 papers that have together received 656 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Parathyroid Disorders and Treatments (4 papers), Medical Imaging and Pathology Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), MRI in cancer diagnosis (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Nephrology (126 citations), Hepatology (98 citations), Radiology, Nuclear Medicine and Imaging (204 citations), Pulmonary and Respiratory Medicine (138 citations) and Pathology and Forensic Medicine (52 citations). V S Lee has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Neil M. Rofsky, Glenn A. Krinsky, R. Edward Coleman, S. Martinez, Charles E. Spritzer, George S. Leight, Gerhard Laub, David Thomasson, Michael Lavelle and Jeffrey C. Weinreb. Their work appears in journals such as Radiology, American Journal of Roentgenology and Journal of Bone and Mineral Research.
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.