Paula Toro

25 papers and 187 indexed citations i.

About

Paula Toro is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Artificial Intelligence. According to data from OpenAlex, Paula Toro has authored 25 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Oncology and 7 papers in Artificial Intelligence. Recurrent topics in Paula Toro’s work include Radiomics and Machine Learning in Medical Imaging (12 papers), Cancer Immunotherapy and Biomarkers (9 papers) and AI in cancer detection (7 papers). Paula Toro is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Cancer Immunotherapy and Biomarkers (9 papers) and AI in cancer detection (7 papers). Paula Toro collaborates with scholars based in United States, Switzerland and China. Paula Toro's co-authors include Anant Madabhushi, Germán Corredor, Vidya Sankar Viswanathan, Sanjay Mukhopadhyay, Cheng Lu, Pingfu Fu, Kaustav Bera, Aparna Harbhajanka, Hannah Gilmore and Shridar Ganesan and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Co-authorship network of co-authors of Paula Toro i

Fields of papers citing papers by Paula Toro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paula Toro

Since Specialization
Citations

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