Eva Rubin

33 papers and 671 indexed citations i.

About

Eva Rubin is a scholar working on Pathology and Forensic Medicine, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Eva Rubin has authored 33 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 13 papers in Cancer Research and 9 papers in Artificial Intelligence. Recurrent topics in Eva Rubin’s work include Breast Lesions and Carcinomas (15 papers), Breast Cancer Treatment Studies (12 papers) and AI in cancer detection (9 papers). Eva Rubin is often cited by papers focused on Breast Lesions and Carcinomas (15 papers), Breast Cancer Treatment Studies (12 papers) and AI in cancer detection (9 papers). Eva Rubin collaborates with scholars based in United States, Canada and United Kingdom. Eva Rubin's co-authors include Peter J. Dempsey, W. A. Maddox, Richard L. Ellis, Marshall M. Urist, Reni Butler, Elizabeth L. Wiley, Luz A. Venta, Michael T. Mazur, Robert Stanley and Ellen B. Mendelson and has published in prestigious journals such as Cancer, Radiology and Plastic & Reconstructive Surgery.

In The Last Decade

Co-authorship network of co-authors of Eva Rubin i

Fields of papers citing papers by Eva Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Rubin

Since Specialization
Citations

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