Maryellen L. Giger

427 papers and 16.3k indexed citations i.

About

Maryellen L. Giger is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maryellen L. Giger has authored 427 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 312 papers in Radiology, Nuclear Medicine and Imaging, 220 papers in Artificial Intelligence and 132 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maryellen L. Giger’s work include Radiomics and Machine Learning in Medical Imaging (226 papers), AI in cancer detection (212 papers) and Digital Radiography and Breast Imaging (82 papers). Maryellen L. Giger is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (226 papers), AI in cancer detection (212 papers) and Digital Radiography and Breast Imaging (82 papers). Maryellen L. Giger collaborates with scholars based in United States, China and Germany. Maryellen L. Giger's co-authors include Hui Li, Kunio Doi, Carl J. Vyborny, Karen Drukker, Heber MacMahon, Charles E. Metz, Ulrich Bick, Benjamin Q. Huynh, Robert M. Nishikawa and Robert A. Schmidt and has published in prestigious journals such as Journal of Clinical Investigation, Nature Immunology and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Maryellen L. Giger i

Fields of papers citing papers by Maryellen L. Giger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maryellen L. Giger. 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 Maryellen L. Giger. The network helps show where Maryellen L. Giger may publish in the future.

Countries citing papers authored by Maryellen L. Giger

Since Specialization
Citations

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