Shlomit Goldberg-Stein
- Health Informatics top 5%
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills 3
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- Radiology practices and education 20
- Radiation Dose and Imaging 14
- Radiomics and Machine Learning in Medical Imaging 2
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- Advanced X-ray and CT Imaging 8
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- Innovations in Medical Education 3
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- Musculoskeletal synovial abnormalities and treatments 2
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- Tendon Structure and Treatment 2
- Co-authors
- Victoria ChernyakSusanna I. LeePeter F. HahnBob LiuJosé G. MantillaYanhua WangViktoriya ParoderMariya Kobi
- Journals
- Journal of the American College of Radiology (13 papers)Skeletal Radiology (4 papers)American Journal of Roentgenology (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Shlomit Goldberg-Stein
27 papers receiving 494 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 36
- Family Practice 42
- Radiology, Nuclear Medicine and Imaging 287
- Critical Care and Intensive Care Medicine 49
- Infectious Diseases 70
Countries citing papers authored by Shlomit Goldberg-Stein
This map shows the geographic impact of Shlomit Goldberg-Stein'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 Shlomit Goldberg-Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shlomit Goldberg-Stein more than expected).
Fields of papers citing papers by Shlomit Goldberg-Stein
This network shows the impact of papers produced by Shlomit Goldberg-Stein. 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 Shlomit Goldberg-Stein. The network helps show where Shlomit Goldberg-Stein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shlomit Goldberg-Stein, 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 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 6 | |
| 6 | 2020 | 34 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 40 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 10 | |
| 14 | 2017 | 2 | |
| 15 | 2017 | 3 | |
| 16 | 2017 | 15 | |
| 17 | 2017 | 54 | |
| 18 | 2016 | 21 | |
| 19 | 2016 | 21 | |
| 20 | 2012 | 36 |
About Shlomit Goldberg-Stein
Shlomit Goldberg-Stein is a scholar working on Family Practice, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 29 papers that have together received 500 indexed citations. Recurring topics across this work include Radiology practices and education (20 papers), Radiation Dose and Imaging (14 papers), Advanced X-ray and CT Imaging (8 papers), Clinical Reasoning and Diagnostic Skills (3 papers), Innovations in Medical Education (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Musculoskeletal synovial abnormalities and treatments (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Health Informatics (36 citations), Family Practice (42 citations) and Radiology, Nuclear Medicine and Imaging (287 citations). Shlomit Goldberg-Stein has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Victoria Chernyak, Susanna I. Lee, Peter F. Hahn, Bob Liu, José G. Mantilla, Yanhua Wang, Viktoriya Paroder, Mariya Kobi, Mark S. Parker and Scott D. Long. Their work appears in journals such as Journal of the American College of Radiology, Skeletal Radiology, American Journal of Roentgenology, Frontiers in Oncology and European Journal of Radiology.
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.