Aurelia Bustos

6 papers and 557 indexed citations i.

About

Aurelia Bustos is a scholar working on Oncology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Aurelia Bustos has authored 6 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Artificial Intelligence and 2 papers in Cancer Research. Recurrent topics in Aurelia Bustos’s work include COVID-19 diagnosis using AI (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Multiple and Secondary Primary Cancers (1 paper). Aurelia Bustos is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Multiple and Secondary Primary Cancers (1 paper). Aurelia Bustos collaborates with scholars based in Spain and United States. Aurelia Bustos's co-authors include Antonio Pertusa, María de la Iglesia-Vayá, José María Salinas, Cristiane Murta‐Nascimento, Francisco X. Real, F. FERNÁNDEZ, Diana Puente, Manolis Kogevinas, Núria Malats and Rivas del Fresno M and has published in prestigious journals such as Journal of Clinical Oncology, The Lancet Oncology and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Aurelia Bustos i

Fields of papers citing papers by Aurelia Bustos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurelia Bustos

Since Specialization
Citations

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