Sue Peacock
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Cancer Research top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Constance D. LehmanWendy B. DeMartiniPeter R. EbyRobert L. GutierrezSavannah C. PartridgeShilpa PatelNicole UrbanElizabeth R. DePeri
- Topics
- MRI in cancer diagnosis (35 papers)Breast Lesions and Carcinomas (27 papers)Radiomics and Machine Learning in Medical Imaging (20 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Sue Peacock
63 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Radiology, Nuclear Medicine and Imaging 2.2k
- Pathology and Forensic Medicine 1.4k
- Cancer Research 848
- Oncology 632
- Pulmonary and Respiratory Medicine 355
Countries citing papers authored by Sue Peacock
This map shows the geographic impact of Sue Peacock'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 Sue Peacock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Peacock more than expected).
Fields of papers citing papers by Sue Peacock
This network shows the impact of papers produced by Sue Peacock. 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 Sue Peacock. The network helps show where Sue Peacock may publish in the future.
Co-authorship network of co-authors of Sue Peacock
This figure shows the co-authorship network connecting the top 25 collaborators of Sue Peacock. A scholar is included among the top collaborators of Sue Peacock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sue Peacock. Sue Peacock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 21 | |
| 3 | 7 | |
| 4 | 22 | |
| 5 | 17 | |
| 6 | 15 | |
| 7 | 20 | |
| 8 | 23 | |
| 9 | 15 | |
| 10 | 21 | |
| 11 | 18 | |
| 12 | 0 | |
| 13 | 39 | |
| 14 | MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancerbreakdown → | 641 |
| 15 | 10 | |
| 16 | 40 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 43 | |
| 20 | 80 |
About Sue Peacock
Sue Peacock is a scholar working on Medical Terminology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 66 papers that have together received 3.7k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (35 papers), Breast Lesions and Carcinomas (27 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Pathology and Forensic Medicine (1.4k citations) and Cancer Research (848 citations). Sue Peacock has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Constance D. Lehman, Wendy B. DeMartini, Peter R. Eby, Robert L. Gutierrez, Savannah C. Partridge, Shilpa Patel, Nicole Urban, Elizabeth R. DePeri, M. Robyn Andersen and Habib Rahbar. Their work appears in journals such as New England Journal of Medicine, Cancer and Cancer Research.
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.