Marcia Koomen

21 papers and 465 indexed citations i.

About

Marcia Koomen is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Oncology. According to data from OpenAlex, Marcia Koomen has authored 21 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Artificial Intelligence and 8 papers in Oncology. Recurrent topics in Marcia Koomen’s work include Digital Radiography and Breast Imaging (10 papers), AI in cancer detection (9 papers) and Breast Lesions and Carcinomas (6 papers). Marcia Koomen is often cited by papers focused on Digital Radiography and Breast Imaging (10 papers), AI in cancer detection (9 papers) and Breast Lesions and Carcinomas (6 papers). Marcia Koomen collaborates with scholars based in United States, South Korea and Canada. Marcia Koomen's co-authors include Etta D. Pisano, Cherie M. Kuzmiak, Dag Pavić, Elodia B. Cole, Roberta A. Jong, R. Edward Hendrick, Eva Maria Fallenberg, A. Tardivon, Clarisse Dromain and Fabienne Thibault and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and The American Journal of Surgical Pathology.

In The Last Decade

Co-authorship network of co-authors of Marcia Koomen i

Fields of papers citing papers by Marcia Koomen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcia Koomen

Since Specialization
Citations

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