Mia Levy

95 papers and 1.9k indexed citations i.

About

Mia Levy is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mia Levy has authored 95 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 29 papers in Oncology and 29 papers in Cancer Research. Recurrent topics in Mia Levy’s work include Cancer Genomics and Diagnostics (23 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and BRCA gene mutations in cancer (11 papers). Mia Levy is often cited by papers focused on Cancer Genomics and Diagnostics (23 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and BRCA gene mutations in cancer (11 papers). Mia Levy collaborates with scholars based in United States, Italy and United Kingdom. Mia Levy's co-authors include Joshua C. Denny, Thomas A. Lasko, Jeremy L. Warner, Christine M. Lovly, Daniel L. Rubin, Ranjana H. Advani, Joshua Brody, Weiyun Z. Ai, Susan J. Knox and Robert Tibshirani and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Co-authorship network of co-authors of Mia Levy i

Fields of papers citing papers by Mia Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mia Levy

Since Specialization
Citations

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