Veena Nagar
Impact in
Papers in
-
- Medical Imaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 2
- Advanced MRI Techniques and Applications 2
- Advanced Neuroimaging Techniques and Applications 1
- Co-authors
- C. C. Tchoyoson Lim (2 shared papers)Jieru Ye (2 shared papers)Wai Hoe Ng (1 shared paper)F. Hui (1 shared paper)Alexander M. McKinney (2 shared papers)Pradeep Krishnan (1 shared paper)Bhavin Jankharia (1 shared paper)Charles L. Truwit (1 shared paper)
- Journals
- American Journal of Neuroradiology (2 papers)Journal of Clinical Oncology (1 paper)Cancer (1 paper)American Journal of Roentgenology (1 paper)Annals of the Academy of Medicine Singapore (1 paper)
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Veena Nagar
9 papers receiving 262 citations
Peers
Comparison fields: 5 of 50
- Genetics 89
- Neurology 102
- Epidemiology 140
- Pathology and Forensic Medicine 51
- Radiology, Nuclear Medicine and Imaging 61
Countries citing papers authored by Veena Nagar
This map shows the geographic impact of Veena Nagar'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 Veena Nagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veena Nagar more than expected).
Fields of papers citing papers by Veena Nagar
This network shows the impact of papers produced by Veena Nagar. 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 Veena Nagar. The network helps show where Veena Nagar may publish in the future.
Co-authors
The 25 scholars most cited alongside Veena Nagar, 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 | 2008 | 154 | |
| 2 | 2014 | 37 | |
| 3 | 2009 | 21 | |
| 4 | 2005 | 19 | |
| 5 | 2008 | 14 | |
| 6 | 2009 | 9 | |
| 7 | 2014 | 7 | |
| 8 | High Definition (HD) and Ultra-High Definition (UHD) PET Reconstructions Improves Lesion Detectability in Digital 18F-FDG PET/CT | 2016 | 1 |
| 9 | Initial Clinical Experience using a digital PET Detector for whole-body oncologic PET/CT | 2015 | 1 |
About Veena Nagar
Veena Nagar is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics, Pathology and Forensic Medicine and Biomedical Engineering, having authored 9 papers that have together received 263 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Advanced X-ray and CT Imaging (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Genetics (89 citations), Neurology (102 citations), Epidemiology (140 citations), Pathology and Forensic Medicine (51 citations) and Radiology, Nuclear Medicine and Imaging (61 citations). Veena Nagar has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include C. C. Tchoyoson Lim, Jieru Ye, Wai Hoe Ng, F. Hui, Alexander M. McKinney, Pradeep Krishnan, Bhavin Jankharia, Charles L. Truwit, Susan M. Geyer and Joseph M. Flynn. Their work appears in journals such as American Journal of Neuroradiology, Journal of Clinical Oncology, Cancer, American Journal of Roentgenology and Annals of the Academy of Medicine Singapore.
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.