Gia A. DeAngelis

About

Gia A. DeAngelis is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Gia A. DeAngelis has authored 27 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Gia A. DeAngelis’s work include Breast Lesions and Carcinomas (8 papers), MRI in cancer diagnosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Gia A. DeAngelis is often cited by papers focused on Breast Lesions and Carcinomas (8 papers), MRI in cancer diagnosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Gia A. DeAngelis collaborates with scholars based in United States, Germany and Canada. Gia A. DeAngelis's co-authors include David A. Bluemke, Christiane Kühl, Mitchell D. Schnall, Petrina A. Causer, Stuart J. Schnitt, Carol B. Stelling, Sylvia H. Heywang‐Köbrunner, N D DeBruhl, Steven E. Harms and Constantine Gatsonis and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Co-authorship network of co-authors of Gia A. DeAngelis i

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Fields of papers citing papers by Gia A. DeAngelis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gia A. DeAngelis. 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 Gia A. DeAngelis. The network helps show where Gia A. DeAngelis may publish in the future.

Countries citing papers authored by Gia A. DeAngelis

Since Specialization

Citations

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