Sue Peacock

5.1k total citations · 1 hit paper
66 papers, 3.7k citations indexed

About

Sue Peacock is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Sue Peacock has authored 66 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Pathology and Forensic Medicine and 19 papers in Cancer Research. Recurrent topics in Sue Peacock's work include MRI in cancer diagnosis (35 papers), Breast Lesions and Carcinomas (27 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). Sue Peacock is often cited by papers focused on MRI in cancer diagnosis (35 papers), Breast Lesions and Carcinomas (27 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). Sue Peacock collaborates with scholars based in United States, United Kingdom and France. Sue Peacock's 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 and has published in prestigious journals such as New England Journal of Medicine, Cancer and Cancer Research.

In The Last Decade

Sue Peacock

63 papers receiving 3.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer

2007 641 citations Constance D. Lehman, Constantine Gatsonis et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Sue Peacock United States	32	2.2k	1.4k	848	632	355	66	3.7k
Martha B. Mainiero United States	26	1.1k 0.5×	1.1k 0.8×	858 1.0×	614 1.0×	567 1.6×	76	2.6k
Mary C. Mahoney United States	25	885 0.4×	774 0.6×	415 0.5×	455 0.7×	510 1.4×	91	2.0k
Barbara Monsees United States	28	958 0.4×	872 0.6×	787 0.9×	1.2k 2.0×	568 1.6×	76	3.0k
R. James Brenner United States	29	1.1k 0.5×	1.3k 0.9×	1.1k 1.3×	1.1k 1.8×	763 2.1×	120	3.7k
Priscilla J. Slanetz United States	38	2.2k 1.0×	1.3k 1.0×	1.1k 1.3×	994 1.6×	1.0k 2.9×	240	4.5k
Valerie P. Jackson United States	25	1.1k 0.5×	1.2k 0.8×	794 0.9×	504 0.8×	420 1.2×	81	2.5k
Ana P. Lourenço United States	26	673 0.3×	578 0.4×	488 0.6×	557 0.9×	549 1.5×	89	2.2k
S.F. Sener United States	7	962 0.4×	921 0.7×	797 0.9×	2.0k 3.2×	737 2.1×	11	3.8k
Debra L. Monticciolo United States	22	866 0.4×	574 0.4×	664 0.8×	1.4k 2.2×	482 1.4×	51	2.6k
Christy Russell United States	26	944 0.4×	818 0.6×	995 1.2×	1.6k 2.6×	626 1.8×	75	4.8k

Countries citing papers authored by Sue Peacock

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Bulterys, Michelle A., Andrew Mujugira, Monique A. Wyatt, et al.. (2023). “It Soothes Your Heart”: A Multimethod Study Exploring Acceptability of Point-of-Care Viral Load Testing among Ugandan Pregnant and Postpartum Women Living with HIV. Diagnostics. 14(1). 72–72. 2 indexed citations

Roche, Stephanie D., Josephine Odoyo, Elizabeth Irungu, et al.. (2021). A one‐stop shop model for improved efficiency of pre‐exposure prophylaxis delivery in public clinics in western Kenya: a mixed methods implementation science study. Journal of the International AIDS Society. 24(12). e25845–e25845. 21 indexed citations

Peacock, Sue, Hannah Shucard, Lisa M. Reisch, et al.. (2019). Pathologists' agreement on treatment suggestions for melanocytic skin lesions. Journal of the American Academy of Dermatology. 82(6). 1435–1444. 7 indexed citations

Klein, Jared W., et al.. (2018). Perceptions of Primary Care Notes by Patients With Mental Health Diagnoses. The Annals of Family Medicine. 16(4). 343–345. 22 indexed citations

Jackson, Sara L., Catherine M. DesRoches, Dominick L. Frosch, et al.. (2017). Will use of patient portals help to educate and communicate with patients with diabetes?. Patient Education and Counseling. 101(5). 956–959. 17 indexed citations

Jackson, Sara L., et al.. (2017). Patients Typing Their Own Visit Agendas Into an Electronic Medical Record: Pilot in a Safety-Net Clinic. The Annals of Family Medicine. 15(2). 158–161. 15 indexed citations

Scheel, John R., Sue Peacock, Jackson Orem, et al.. (2016). Improving Breast Ultrasound Interpretation in Uganda Using a Condensed Breast Imaging Reporting and Data System. Academic Radiology. 23(10). 1271–1277. 20 indexed citations

Rahbar, Habib, Wendy B. DeMartini, Amie Y. Lee, et al.. (2015). Accuracy of 3T versus 1.5T breast MRI for pre-operative assessment of extent of disease in newly diagnosed DCIS. European Journal of Radiology. 84(4). 611–616. 23 indexed citations

Loiselle, Christopher, Peter R. Eby, Kristine E. Calhoun, et al.. (2013). Preoperative MRI Improves Prediction of Extensive Occult Axillary Lymph Node Metastases in Breast Cancer Patients with a Positive Sentinel Lymph Node Biopsy. Academic Radiology. 21(1). 92–98. 15 indexed citations

10.

DeMartini, Wendy B., Brenda F. Kurland, Robert L. Gutierrez, et al.. (2011). Probability of malignancy for lesions detected on breast MRI: a predictive model incorporating BI-RADS imaging features and patient characteristics. European Radiology. 21(8). 1609–1617. 21 indexed citations

11.

Eby, Peter R., Kristine E. Calhoun, Brenda F. Kurland, et al.. (2009). Preoperative and Intraoperative Sonographic Visibility of Collagen-Based Breast Biopsy Marker Clips. Academic Radiology. 17(3). 340–347. 18 indexed citations

12.

Lehman, Constance D., Constantine Gatsonis, Christiane Kühl, et al.. (2007). MRI Evaluation of the Contralateral Breast in Women With Recently Diagnosed Breast Cancer. Obstetrical & Gynecological Survey. 62(7). 456–458.

13.

Eby, Peter R., et al.. (2007). Cancer yield of probably benign breast MR examinations. Journal of Magnetic Resonance Imaging. 26(4). 950–955. 39 indexed citations

14.

Lehman, Constance D., Constantine Gatsonis, Christiane Kühl, et al.. (2007). MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer. New England Journal of Medicine. 356(13). 1295–1303. 641 indexed citations breakdown →

15.

Peacock, Sue, et al.. (2006). An Audit of Self Acupuncture for Chronic Musculoskeletal Pain. Acupuncture in Medicine. 24(2). 80–86. 10 indexed citations

16.

DeMartini, Wendy B., et al.. (2005). Computer-Aided Detection Applied to Breast MRI: Assessment of CAD-Generated Enhancement and Tumor Sizes in Breast Cancers Before and After Neoadjuvant Chemotherapy1. Academic Radiology. 12(7). 806–814. 40 indexed citations

17.

Peacock, Sue & Paul Wilson. (2004). Ethnicity, pain and pain beliefs: An overview. 13(1). 19–24. 1 indexed citations

18.

Peacock, Sue & P. J. Watson. (2003). The psychology of chronic pain. 3(5). 147–150.

19.

Andersen, M. Robyn, Sue Peacock, J. Lee Nelson, et al.. (2002). Worry about Ovarian Cancer Risk and Use of Ovarian Cancer Screening by Women at Risk for Ovarian Cancer. Gynecologic Oncology. 85(1). 3–8. 43 indexed citations

20.

Lehman, Constance D., et al.. (1999). Effect of age and breast density on screening mammograms with false-positive findings.. American Journal of Roentgenology. 173(6). 1651–1655. 80 indexed citations

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.

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