Faina Shtern
- Pulmonary and Respiratory Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Rheumatology top 1%
- Surgery
- Artificial Intelligence top 10%
- Co-authors
- Harriet C. ThoenyKatarzyna J. MacuraJelle O. BarentszMasoom A. HaiderDaniel MargolisMitchell D. SchnallJeffrey C. WeinrebPeter L. Choyke
- Topics
- AI in cancer detection (5 papers)Advanced MRI Techniques and Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Faina Shtern
14 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Pulmonary and Respiratory Medicine 2.1k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Rheumatology 722
- Surgery 159
- Artificial Intelligence 138
Countries citing papers authored by Faina Shtern
This map shows the geographic impact of Faina Shtern'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 Faina Shtern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faina Shtern more than expected).
Fields of papers citing papers by Faina Shtern
This network shows the impact of papers produced by Faina Shtern. 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 Faina Shtern. The network helps show where Faina Shtern may publish in the future.
Co-authorship network of co-authors of Faina Shtern
This figure shows the co-authorship network connecting the top 25 collaborators of Faina Shtern. A scholar is included among the top collaborators of Faina Shtern 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 Faina Shtern. Faina Shtern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2breakdown → | 2227 |
| 2 | Report of the Joint Working Group on Telemammography/Teleradiology and Information Management | 0 |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | Digital mammography, cancer screening: Factors important for image compression | 3 |
| 9 | 9 | |
| 10 | 70 | |
| 11 | 5 | |
| 12 | 27 | |
| 13 | 5 | |
| 14 | The operating room of the future. Report of the National Cancer Institute Workshop, "Imaging-Guided Stereotactic Tumor Diagnosis and Treatment". | 37 |
| 15 | 15 |
About Faina Shtern
Faina Shtern is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Artificial Intelligence, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Advanced MRI Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.1k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Rheumatology (722 citations). Faina Shtern has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Harriet C. Thoeny, Katarzyna J. Macura, Jelle O. Barentsz, Masoom A. Haider, Daniel Margolis, Mitchell D. Schnall, Jeffrey C. Weinreb, Peter L. Choyke, F. Cornud and Clare M. Tempany. Their work appears in journals such as Radiology, European Urology and Investigative 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.