Sandeep Ghai
Impact in
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- Ultrasound Imaging and Elastography
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Gastroenterology top 10%
- Gastrointestinal Tumor Research and Treatment
Papers in
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- MRI in cancer diagnosis 9
- Ultrasound Imaging and Elastography 3
- Medical Imaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 3
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- Breast Lesions and Carcinomas 5
- Co-authors
- Frederick Au (14 shared papers)Supriya Kulkarni (16 shared papers)Sangeet Ghai (4 shared papers)Karina Bukhanov (7 shared papers)Pavel Crystal (5 shared papers)Dheer Singh (5 shared papers)J Pattison (2 shared papers)Martin O’Malley (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (4 papers)General and Comparative Endocrinology (3 papers)Radiographics (3 papers)Radiology (3 papers)European Radiology (2 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Sandeep Ghai
42 papers receiving 895 citations
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 223
- Gastroenterology 52
- Transplantation 20
- Pathology and Forensic Medicine 132
- Oncology 151
Countries citing papers authored by Sandeep Ghai
This map shows the geographic impact of Sandeep Ghai'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 Sandeep Ghai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Ghai more than expected).
Fields of papers citing papers by Sandeep Ghai
This network shows the impact of papers produced by Sandeep Ghai. 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 Sandeep Ghai. The network helps show where Sandeep Ghai may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandeep Ghai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 131 | |
| 2 | 2020 | 109 | |
| 3 | 2014 | 85 | |
| 4 | 2023 | 75 | |
| 5 | 2006 | 69 | |
| 6 | 2017 | 49 | |
| 7 | 2011 | 39 | |
| 8 | 2005 | 35 | |
| 9 | 2015 | 31 | |
| 10 | 2020 | 26 | |
| 11 | 2005 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2012 | 20 | |
| 14 | 2014 | 20 | |
| 15 | 2022 | 18 | |
| 16 | 2010 | 17 | |
| 17 | 2009 | 17 | |
| 18 | 2003 | 14 | |
| 19 | 2004 | 13 | |
| 20 | 2001 | 13 |
About Sandeep Ghai
Sandeep Ghai is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 46 papers that have together received 920 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Digital Radiography and Breast Imaging (5 papers), Breast Lesions and Carcinomas (5 papers), Breast Cancer Treatment Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Ultrasound Imaging and Elastography (3 papers), Medical Imaging Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (223 citations), Gastroenterology (52 citations), Transplantation (20 citations), Pathology and Forensic Medicine (132 citations) and Oncology (151 citations). Sandeep Ghai has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Frederick Au, Supriya Kulkarni, Sangeet Ghai, Karina Bukhanov, Pavel Crystal, Dheer Singh, J Pattison, Martin O’Malley, Mark Stephens and Hadas Moshonov. Their work appears in journals such as Breast Cancer Research and Treatment, General and Comparative Endocrinology, Radiographics, Radiology and European Radiology.
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.