Rajan T. Gupta
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- MRI in cancer diagnosis 25
- Radiation Dose and Imaging 23
- Radiomics and Machine Learning in Medical Imaging 18
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- Prostate Cancer Diagnosis and Treatment 51
- Prostate Cancer Treatment and Research 40
- Renal cell carcinoma treatment 23
- Hepatology top 2%
- Health Informatics top 2%
- Rheumatology top 2%
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- Cancer Immunotherapy and Biomarkers 19
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- Bladder and Urothelial Cancer Treatments 17
- Co-authors
- Daniel T. BollElmar M. MerkleDaniele MarinThomas J. PolascikLisa M. HoAmy NevilleErik K. PaulsonRendon C. Nelson
- Journals
- Journal of Clinical Oncology (20 papers)SHILAP Revista de lepidopterología (1 paper)Radiology (5 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Rajan T. Gupta
157 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Radiology, Nuclear Medicine and Imaging 1.6k
- Pulmonary and Respiratory Medicine 1.6k
- Hepatology 382
- Health Informatics 57
- Rheumatology 379
Countries citing papers authored by Rajan T. Gupta
This map shows the geographic impact of Rajan T. Gupta'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 Rajan T. Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajan T. Gupta more than expected).
Fields of papers citing papers by Rajan T. Gupta
This network shows the impact of papers produced by Rajan T. Gupta. 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 Rajan T. Gupta. The network helps show where Rajan T. Gupta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajan T. Gupta, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 23 | |
| 11 | 2020 | 3 | |
| 12 | 2019 | 140 | |
| 13 | 2019 | 59 | |
| 14 | 2018 | 1 | |
| 15 | 2016 | 6 | |
| 16 | 2013 | 69 | |
| 17 | 2011 | 21 | |
| 18 | 2011 | 20 | |
| 19 | 1996 | 2 | |
| 20 | 1985 | 3 |
About Rajan T. Gupta
Rajan T. Gupta is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 165 papers that have together received 3.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (51 papers), Prostate Cancer Treatment and Research (40 papers), MRI in cancer diagnosis (25 papers), Renal cell carcinoma treatment (23 papers), Radiation Dose and Imaging (23 papers), Cancer Immunotherapy and Biomarkers (19 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Bladder and Urothelial Cancer Treatments (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Pulmonary and Respiratory Medicine (1.6k citations) and Hepatology (382 citations). Rajan T. Gupta has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Daniel T. Boll, Elmar M. Merkle, Daniele Marin, Thomas J. Polascik, Lisa M. Ho, Amy Neville, Erik K. Paulson, Rendon C. Nelson, Barış Türkbey and Andrew B. Rosenkrantz. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and 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.