Rupali Sood
Impact in
- Family Practice top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
- Oncology 5
- Global Cancer Incidence and Screening 5
- Colorectal Cancer Screening and Detection 3
-
- Economic and Financial Impacts of Cancer 4
- Co-authors
- Amit Sood (1 shared paper)Amit Kumar Ghosh (1 shared paper)Anne F. Rositch (4 shared papers)Daniel J. Mollura (2 shared papers)Emily B. Ambinder (3 shared papers)Lisa A. Mullen (3 shared papers)Susan C. Harvey (3 shared papers)Delaram Shakoor (3 shared papers)
- Journals
- Clinical Cancer Research (1 paper)Journal of Clinical Oncology (1 paper)American Journal of Hematology (1 paper)BMC Cancer (1 paper)The Oncologist (1 paper)
- Partner nations
- United StatesVietnamIreland
In The Last Decade
Rupali Sood
9 papers receiving 255 citations
Peers
Comparison fields: 5 of 76
- Family Practice 18
- Radiology, Nuclear Medicine and Imaging 86
- Statistics, Probability and Uncertainty 17
- Oncology 59
- Artificial Intelligence 67
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 | 158 | |
| 2 | Non-evidence-based variables affecting physicians' test-ordering tendencies: a systematic review. | 2007 | 89 |
| 3 | 2021 | 8 | |
| 4 | 2018 | 3 | |
| 5 | 2019 | 2 | |
| 6 | 2017 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 |
About Rupali Sood
Rupali Sood is a scholar working on Oncology, Economics and Econometrics, Artificial Intelligence, Cancer Research and Infectious Diseases, having authored 9 papers that have together received 265 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (5 papers), Economic and Financial Impacts of Cancer (4 papers), Colorectal Cancer Screening and Detection (3 papers), AI in cancer detection (3 papers), Cancer Genomics and Diagnostics (1 paper), Clinical practice guidelines implementation (1 paper), BRCA gene mutations in cancer (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Family Practice (18 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Statistics, Probability and Uncertainty (17 citations), Oncology (59 citations) and Artificial Intelligence (67 citations). Rupali Sood has collaborated with scholars based in United States, Vietnam and Ireland. Frequent co-authors include Amit Sood, Amit Kumar Ghosh, Anne F. Rositch, Daniel J. Mollura, Emily B. Ambinder, Lisa A. Mullen, Susan C. Harvey, Delaram Shakoor, Erica Pollack and Kara‐Lee Pool. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, American Journal of Hematology, BMC Cancer and The Oncologist.
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.