Lonie R. Salkowski
- Health Informatics top 10%
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- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 5
- Radiology practices and education 3
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 10
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- Breast Cancer Treatment Studies 4
- Artificial Intelligence top 10%
- AI in cancer detection 8
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- Digital Radiography and Breast Imaging 5
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- Cancer Risks and Factors 3
Lonie R. Salkowski
20 papers receiving 457 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 22
- Radiology, Nuclear Medicine and Imaging 245
- Pathology and Forensic Medicine 157
- Cancer Research 93
- Artificial Intelligence 155
Countries citing papers authored by Lonie R. Salkowski
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
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
The 25 scholars most cited alongside Lonie R. Salkowski, 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 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 21 | |
| 8 | 2019 | 19 | |
| 9 | 2018 | 4 | |
| 10 | 2018 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2017 | 43 | |
| 13 | 2016 | 35 | |
| 14 | 2014 | 31 | |
| 15 | 2010 | 41 | |
| 16 | 2010 | 24 | |
| 17 | 2009 | 20 | |
| 18 | 2008 | 3 | |
| 19 | 2007 | 147 | |
| 20 | Use of Microcalcification Descriptors in BI-RADS 4th Edition to Stratify Risk of | 2007 | 1 |
About Lonie R. Salkowski
Lonie R. Salkowski is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 24 papers that have together received 468 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (10 papers), AI in cancer detection (8 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Digital Radiography and Breast Imaging (5 papers), Breast Cancer Treatment Studies (4 papers), Cancer Risks and Factors (3 papers) and Radiology practices and education (3 papers). The work is most often cited by research in Health Informatics (22 citations), Radiology, Nuclear Medicine and Imaging (245 citations) and Pathology and Forensic Medicine (157 citations). Lonie R. Salkowski has collaborated with scholars based in United States. Frequent co-authors include Elizabeth S. Burnside, Gale A. Sisney, Amy M. Fowler, Kathryn J. Fowler, Jennifer E. Ochsner, Jason P. Fine, Roberta M. Strigel, Daniel L. Rubin, Mai Elezaby and Ryan W. Woods.
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.