Kristine Pysarenko

11 papers and 402 indexed citations i.

About

Kristine Pysarenko is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Artificial Intelligence. According to data from OpenAlex, Kristine Pysarenko has authored 11 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pathology and Forensic Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Kristine Pysarenko’s work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Breast Lesions and Carcinomas (3 papers). Kristine Pysarenko is often cited by papers focused on MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Breast Lesions and Carcinomas (3 papers). Kristine Pysarenko collaborates with scholars based in United States and Poland. Kristine Pysarenko's co-authors include Linda Moy, Amy N. Melsaether, Andrew B. Rosenkrantz, James S. Babb, Sungheon Kim, Yiming Gao, Laura Heacock, Samantha L. Heller, Akshat C. Pujara and Roy A. Raad and has published in prestigious journals such as Radiology, Science Translational Medicine and American Journal of Roentgenology.

In The Last Decade

Co-authorship network of co-authors of Kristine Pysarenko i

Fields of papers citing papers by Kristine Pysarenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristine Pysarenko. 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 Kristine Pysarenko. The network helps show where Kristine Pysarenko may publish in the future.

Countries citing papers authored by Kristine Pysarenko

Since Specialization
Citations

This map shows the geographic impact of Kristine Pysarenko'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 Kristine Pysarenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristine Pysarenko 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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2025