Shannon C. Agner

About

Shannon C. Agner is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shannon C. Agner has authored 16 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shannon C. Agner’s work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (5 papers). Shannon C. Agner is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and MRI in cancer diagnosis (5 papers). Shannon C. Agner collaborates with scholars based in United States, China and United Kingdom. Shannon C. Agner's co-authors include Anant Madabhushi, Ajay Basavanhally, Michael D. Feldman, Shridar Ganesan, Gyan Bhanot, J E Tomaszewski, James Monaco, Mark Rosen, Sarah Englander and George Lee and has published in prestigious journals such as Annual Review of Immunology, Annals of Neurology and Radiology.

In The Last Decade

Co-authorship network of co-authors of Shannon C. Agner i

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Fields of papers citing papers by Shannon C. Agner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon C. Agner. 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 Shannon C. Agner. The network helps show where Shannon C. Agner may publish in the future.

Countries citing papers authored by Shannon C. Agner

Since Specialization

Citations

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