Faina Shtern

13 papers and 2.3k indexed citations i.

About

Faina Shtern is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Faina Shtern has authored 13 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Faina Shtern’s work include Advanced MRI Techniques and Applications (5 papers), Digital Radiography and Breast Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Faina Shtern is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Digital Radiography and Breast Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Faina Shtern collaborates with scholars based in United States, The Netherlands and Switzerland. Faina Shtern's co-authors include Peter L. Choyke, Mitchell D. Schnall, Jeffrey C. Weinreb, Daniel Margolis, F. Cornud, Katarzyna J. Macura, Jelle O. Barentsz, Harriet C. Thoeny, Masoom A. Haider and Clare M. Tempany and has published in prestigious journals such as Radiology, European Urology and Investigative Radiology.

In The Last Decade

Co-authorship network of co-authors of Faina Shtern i

Fields of papers citing papers by Faina Shtern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Faina Shtern

Since Specialization
Citations

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).

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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