Isabel Pinto

26 papers and 527 indexed citations i.

About

Isabel Pinto is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Isabel Pinto has authored 26 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Isabel Pinto’s work include AI in cancer detection (5 papers), Colorectal Cancer Screening and Detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Isabel Pinto is often cited by papers focused on AI in cancer detection (5 papers), Colorectal Cancer Screening and Detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Isabel Pinto collaborates with scholars based in Portugal, Switzerland and Italy. Isabel Pinto's co-authors include Nuno Lunet, Ricardo Ladeiras‐Lopes, Amanda Nogueira, Vincenzo Eusebi, Alberto Cavazza, Maria Pia Foschini, Jaime S. Cardoso, Diana Montezuma, Isabel Veiga and Bárbara Mesquita and has published in prestigious journals such as PLoS ONE, Scientific Reports and Annals of the Rheumatic Diseases.

In The Last Decade

Co-authorship network of co-authors of Isabel Pinto i

Fields of papers citing papers by Isabel Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Isabel Pinto

Since Specialization
Citations

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