Rupali Sood
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Oncology 2
- Global Cancer Incidence and Screening 2
- Colorectal Cancer Screening and Detection 1
-
- AI in cancer detection 2
- Co-authors
- Amit Kumar Ghosh (1 shared paper)Amit Sood (1 shared paper)Anne F. Rositch (4 shared papers)Delaram Shakoor (3 shared papers)Susan C. Harvey (3 shared papers)Kara-Lee Pool (3 shared papers)Daniel J. Mollura (2 shared papers)Emily B. Ambinder (3 shared papers)
- Journals
- Clinical Cancer Research (1 paper)The Oncologist (1 paper)American Journal of Hematology (1 paper)Journal of Clinical Oncology (1 paper)BMC Cancer (1 paper)
- Partner nations
- United StatesVietnamTanzania
In The Last Decade
Rupali Sood
10 papers receiving 270 citations
Peers
Comparison fields: 5 of 70
- Family Practice 8
- Radiology, Nuclear Medicine and Imaging 73
- Oncology 48
- Critical Care and Intensive Care Medicine 7
- Artificial Intelligence 56
Countries citing papers authored by Rupali Sood
This map shows the geographic impact of Rupali Sood'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 Rupali Sood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupali Sood more than expected).
Fields of papers citing papers by Rupali Sood
This network shows the impact of papers produced by Rupali Sood. 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 Rupali Sood. The network helps show where Rupali Sood may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupali Sood, 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 | 2019 | 168 | |
| 2 | Non-evidence-based variables affecting physicians' test-ordering tendencies: a systematic review. | 2007 | 90 |
| 3 | 2021 | 9 | |
| 4 | 2018 | 4 | |
| 5 | 2025 | 2 | |
| 6 | 2017 | 2 | |
| 7 | 2019 | 2 | |
| 8 | 2023 | 1 | |
| 9 | Photo-Physical and Chemical Properties of Ca 1-x Fe x S and Ca 1-x Cd x S Nanocrystals | 2016 | 1 |
| 10 | 2022 | 1 |
About Rupali Sood
Rupali Sood is a scholar working on Oncology, Artificial Intelligence, Infectious Diseases, Genetics and Neurology, having authored 10 papers that have together received 280 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (2 papers), AI in cancer detection (2 papers), Chalcogenide Semiconductor Thin Films (1 paper), Cerebral Venous Sinus Thrombosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Semiconductor materials and interfaces (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Family Practice (8 citations), Radiology, Nuclear Medicine and Imaging (73 citations), Oncology (48 citations), Critical Care and Intensive Care Medicine (7 citations) and Artificial Intelligence (56 citations). Rupali Sood has collaborated with scholars based in United States, Vietnam and Tanzania. Frequent co-authors include Amit Kumar Ghosh, Amit Sood, Anne F. Rositch, Delaram Shakoor, Susan C. Harvey, Kara-Lee Pool, Daniel J. Mollura, Emily B. Ambinder, Erica Pollack and Lisa A. Mullen. Their work appears in journals such as Clinical Cancer Research, The Oncologist, American Journal of Hematology, Journal of Clinical Oncology and BMC Cancer.
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.