Savannah C. Partridge
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- MRI in cancer diagnosis 100
- Radiomics and Machine Learning in Medical Imaging 63
- Advanced Neuroimaging Techniques and Applications 45
- Advanced MRI Techniques and Applications 32
- Medical Imaging Techniques and Applications 21
- Cancer Research top 2%
- Breast Cancer Treatment Studies 18
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- Breast Lesions and Carcinomas 23
- Oncology top 5%
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- AI in cancer detection 5
- Co-authors
- Constance D. LehmanHabib RahbarWendy B. DeMartiniNola M. HyltonPeter R. EbySue PeacockLaura J. EssermanBrenda F. Kurland
- Journals
- Cell (1 paper)Journal of Clinical Oncology (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Savannah C. Partridge
114 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Radiology, Nuclear Medicine and Imaging 4.9k
- Cancer Research 1.1k
- Pathology and Forensic Medicine 1.2k
- Oncology 541
- Pulmonary and Respiratory Medicine 579
Countries citing papers authored by Savannah C. Partridge
This map shows the geographic impact of Savannah C. Partridge'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 Savannah C. Partridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Savannah C. Partridge more than expected).
Fields of papers citing papers by Savannah C. Partridge
This network shows the impact of papers produced by Savannah C. Partridge. 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 Savannah C. Partridge. The network helps show where Savannah C. Partridge may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Savannah C. Partridge, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 45 | |
| 12 | 2020 | 26 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 27 | |
| 15 | 2017 | 87 | |
| 16 | 2017 | 34 | |
| 17 | 2016 | 104 | |
| 18 | 2016 | 50 | |
| 19 | 2013 | 15 | |
| 20 | 2013 | 138 |
About Savannah C. Partridge
Savannah C. Partridge is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 120 papers that have together received 5.8k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (100 papers), Radiomics and Machine Learning in Medical Imaging (63 papers), Advanced Neuroimaging Techniques and Applications (45 papers), Advanced MRI Techniques and Applications (32 papers), Breast Lesions and Carcinomas (23 papers), Medical Imaging Techniques and Applications (21 papers), Breast Cancer Treatment Studies (18 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.9k citations), Cancer Research (1.1k citations) and Pathology and Forensic Medicine (1.2k citations). Savannah C. Partridge has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Constance D. Lehman, Habib Rahbar, Wendy B. DeMartini, Nola M. Hylton, Peter R. Eby, Sue Peacock, Laura J. Esserman, Brenda F. Kurland, Jessica Gibbs and Steven White. Their work appears in journals such as Cell, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.
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.