Rajiv Chopra
- Virology top 1%
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- Ultrasound Imaging and Elastography 58
- Advanced MRI Techniques and Applications 27
- Infrared Thermography in Medicine 11
- Advanced Neuroimaging Techniques and Applications 8
- Infectious Diseases top 1%
- Biomedical Engineering top 0.5%
- Ultrasound and Hyperthermia Applications 96
- Photoacoustic and Ultrasonic Imaging 58
- Hepatology top 2%
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- Computational Drug Discovery Methods 8
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- Orthopaedic implants and arthroplasty 8
- Co-authors
- Stephen C. HarrisonHuifang HuangGregory L. VerdineKullervo HynynenRobert StaruchMichael BronskillPramod Kumar SharmaMathieu Burtnyk
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Rajiv Chopra
191 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Virology 772
- Radiology, Nuclear Medicine and Imaging 1.8k
- Infectious Diseases 1.1k
- Biomedical Engineering 2.5k
- Hepatology 323
Countries citing papers authored by Rajiv Chopra
This map shows the geographic impact of Rajiv Chopra'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 Rajiv Chopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajiv Chopra more than expected).
Fields of papers citing papers by Rajiv Chopra
This network shows the impact of papers produced by Rajiv Chopra. 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 Rajiv Chopra. The network helps show where Rajiv Chopra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajiv Chopra, 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 | 2024 | 2 | |
| 2 | 2021 | 13 | |
| 3 | 2021 | 29 | |
| 4 | 2020 | 14 | |
| 5 | 2018 | 105 | |
| 6 | 2018 | 7 | |
| 7 | 2015 | 49 | |
| 8 | 2012 | 64 | |
| 9 | 2012 | 13 | |
| 10 | 2010 | 24 | |
| 11 | 2010 | 138 | |
| 12 | 2010 | 313 | |
| 13 | 2009 | 176 | |
| 14 | 2009 | 22 | |
| 15 | 2008 | 73 | |
| 16 | 2007 | 1 | |
| 17 | 2004 | 3 | |
| 18 | 2002 | 49 | |
| 19 | Control structures for incorporating picture-specific context in image interpretation | 1995 | 10 |
| 20 | Use of Collateral Text in Image Interpretation | 1994 | 6 |
About Rajiv Chopra
Rajiv Chopra is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Critical Care and Intensive Care Medicine, having authored 200 papers that have together received 7.2k indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (96 papers), Ultrasound Imaging and Elastography (58 papers), Photoacoustic and Ultrasonic Imaging (58 papers), Advanced MRI Techniques and Applications (27 papers), Infrared Thermography in Medicine (11 papers), Computational Drug Discovery Methods (8 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Orthopaedic implants and arthroplasty (8 papers). The work is most often cited by research in Virology (772 citations), Radiology, Nuclear Medicine and Imaging (1.8k citations) and Infectious Diseases (1.1k citations). Rajiv Chopra has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Stephen C. Harrison, Huifang Huang, Gregory L. Verdine, Kullervo Hynynen, Robert Staruch, Michael Bronskill, Pramod Kumar Sharma, Mathieu Burtnyk, Chenchen Bing and Yuexi Huang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.