Lonie R. Salkowski

757 total citations
24 papers, 468 citations indexed

About

Lonie R. Salkowski is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Lonie R. Salkowski has authored 24 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pathology and Forensic Medicine and 8 papers in Artificial Intelligence. Recurrent topics in Lonie R. Salkowski's work include Breast Lesions and Carcinomas (10 papers), AI in cancer detection (8 papers) and MRI in cancer diagnosis (6 papers). Lonie R. Salkowski is often cited by papers focused on Breast Lesions and Carcinomas (10 papers), AI in cancer detection (8 papers) and MRI in cancer diagnosis (6 papers). Lonie R. Salkowski collaborates with scholars based in United States. Lonie R. Salkowski's co-authors include Elizabeth S. Burnside, Gale A. Sisney, Amy M. Fowler, Kathryn J. Fowler, Daniel L. Rubin, Jason P. Fine, Jennifer E. Ochsner, Roberta M. Strigel, Mai Elezaby and Ryan W. Woods and has published in prestigious journals such as Radiology, IEEE Transactions on Biomedical Engineering and American Journal of Roentgenology.

In The Last Decade

Lonie R. Salkowski

20 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lonie R. Salkowski United States 13 245 157 155 105 94 24 468
Silvia Penco Italy 14 326 1.3× 119 0.8× 173 1.1× 102 1.0× 77 0.8× 35 564
Daly Avendaño Italy 12 368 1.5× 149 0.9× 117 0.8× 83 0.8× 83 0.9× 17 543
Hildegard Toth United States 6 117 0.5× 113 0.7× 134 0.9× 158 1.5× 169 1.8× 6 397
David Spak United States 5 193 0.8× 70 0.4× 153 1.0× 90 0.9× 93 1.0× 10 335
Nicole Kay France 4 116 0.5× 159 1.0× 164 1.1× 83 0.8× 111 1.2× 6 335
M. Meier-Meitinger Germany 13 161 0.7× 84 0.5× 137 0.9× 170 1.6× 92 1.0× 28 432
Renee W. Pinsky United States 10 180 0.7× 91 0.6× 159 1.0× 187 1.8× 119 1.3× 20 388
Vivianne Freitas Canada 10 212 0.9× 81 0.5× 151 1.0× 148 1.4× 116 1.2× 35 385
Heather Greenwood United States 14 310 1.3× 210 1.3× 63 0.4× 87 0.8× 62 0.7× 36 486
Mona El‐Khoury Canada 8 183 0.7× 217 1.4× 118 0.8× 49 0.5× 50 0.5× 12 350

Countries citing papers authored by Lonie R. Salkowski

Since Specialization
Citations

This map shows the geographic impact of Lonie R. Salkowski'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 Lonie R. Salkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lonie R. Salkowski more than expected).

Fields of papers citing papers by Lonie R. Salkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lonie R. Salkowski. 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 Lonie R. Salkowski. The network helps show where Lonie R. Salkowski may publish in the future.

Co-authorship network of co-authors of Lonie R. Salkowski

This figure shows the co-authorship network connecting the top 25 collaborators of Lonie R. Salkowski. A scholar is included among the top collaborators of Lonie R. Salkowski 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 Lonie R. Salkowski. Lonie R. Salkowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lewin, Alana A., Susan P. Weinstein, Paul L. Baron, et al.. (2025). ACR Appropriateness Criteria® Supplemental Breast Cancer Screening Based on Breast Density: 2024 Update. Journal of the American College of Radiology. 22(5). S405–S423. 2 indexed citations
2.
Mao, Lu, Mary Hitchcock, Andrew Keller, et al.. (2025). Performance of Diagnostic Breast Imaging in Symptomatic Pregnant and Lactating Patients: Systematic Review and Meta-Analysis. Radiology Imaging Cancer. 7(3). e240281–e240281.
3.
McDonald, Elizabeth S., John R. Scheel, Alana A. Lewin, et al.. (2024). ACR Appropriateness Criteria® Imaging of Invasive Breast Cancer. Journal of the American College of Radiology. 21(6). S168–S202. 2 indexed citations
4.
Neuman, Heather B., Lee G. Wilke, Mai Elezaby, et al.. (2024). Engaging Multidisciplinary Teams to Develop Pragmatic Clinical Practice Guidelines to Support Management of Patients With High-Risk Breast Lesions. Clinical Breast Cancer. 25(1). 56–64.
5.
Hayward, Jessica H., Alana A. Lewin, Susan P. Weinstein, et al.. (2023). ACR Appropriateness Criteria® Monitoring Response to Neoadjuvant Systemic Therapy for Breast Cancer: 2022 Update. Journal of the American College of Radiology. 20(5). S125–S145. 12 indexed citations
6.
Richardson, Michael L., Scott Adams, Atul Agarwal, et al.. (2021). Review of Artificial Intelligence Training Tools and Courses for Radiologists. Academic Radiology. 28(9). 1238–1252. 10 indexed citations
7.
Slanetz, Priscilla J., Dania Daye, Po‐Hao Chen, & Lonie R. Salkowski. (2020). Artificial Intelligence and Machine Learning in Radiology Education Is Ready for Prime Time. Journal of the American College of Radiology. 17(12). 1705–1707. 21 indexed citations
8.
Woods, Ryan W., Lonie R. Salkowski, Mai Elezaby, et al.. (2019). Image-based screening for men at high risk for breast cancer: Benefits and drawbacks. Clinical Imaging. 60(1). 84–89. 19 indexed citations
9.
Salkowski, Lonie R., Mai Elezaby, Amy M. Fowler, et al.. (2018). Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls. 19. 36–36. 5 indexed citations
10.
Salkowski, Lonie R., Mai Elezaby, Amy M. Fowler, et al.. (2018). Comparison of screening full-field digital mammography and digital breast tomosynthesis technical recalls. Journal of Medical Imaging. 6(3). 1–1. 4 indexed citations
11.
Salkowski, Lonie R. & Rosemary S. Russ. (2018). Cognitive processing differences of experts and novices when correlating anatomy and cross-sectional imaging. Journal of Medical Imaging. 5(3). 1–1. 5 indexed citations
12.
Strigel, Roberta M., Elizabeth S. Burnside, Mai Elezaby, et al.. (2017). Utility of BI-RADS Assessment Category 4 Subdivisions for Screening Breast MRI. American Journal of Roentgenology. 208(6). 1392–1399. 43 indexed citations
13.
Strigel, Roberta M., Elizabeth S. Burnside, Mai Elezaby, et al.. (2016). Screening Breast MRI Outcomes in Routine Clinical Practice. Academic Radiology. 24(4). 411–417. 35 indexed citations
14.
Mirrielees, Jennifer A., Josephine Harter, Lonie R. Salkowski, et al.. (2014). Metastasis of primary lung carcinoma to the breast: a systematic review of the literature. Journal of Surgical Research. 188(2). 419–431. 31 indexed citations
15.
Woods, Ryan W., et al.. (2010). The Mammographic Density of a Mass Is a Significant Predictor of Breast Cancer. Radiology. 258(2). 417–425. 41 indexed citations
16.
Salkowski, Lonie R., Amy M. Fowler, Elizabeth S. Burnside, & Gale A. Sisney. (2010). Utility of 6-month Follow-up Imaging after a Concordant Benign Breast Biopsy Result. Radiology. 258(2). 380–387. 24 indexed citations
17.
Zhu, Changfang, Elizabeth S. Burnside, Gale A. Sisney, et al.. (2009). Fluorescence Spectroscopy: An Adjunct Diagnostic Tool to Image-Guided Core Needle Biopsy of the Breast. IEEE Transactions on Biomedical Engineering. 56(10). 2518–2528. 20 indexed citations
18.
Sisney, Gale A., et al.. (2008). Unresected Breast Cancer: Evolution of Imaging Findings Following Cryoablation. Radiology Case Reports. 3(1). 150–150. 3 indexed citations
19.
Burnside, Elizabeth S., Jennifer E. Ochsner, Kathryn J. Fowler, et al.. (2007). Use of Microcalcification Descriptors in BI-RADS 4th Edition to Stratify Risk of Malignancy. Radiology. 242(2). 388–395. 147 indexed citations
20.
Burnside, Elizabeth S., Jennifer E. Ochsner, Kathryn J. Fowler, et al.. (2007). Use of Microcalcification Descriptors in BI-RADS 4th Edition to Stratify Risk of. 1 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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