Laia Valls

7 papers and 355 indexed citations i.

About

Laia Valls is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Laia Valls has authored 7 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pathology and Forensic Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Laia Valls’s work include MRI in cancer diagnosis (3 papers), Multiple Sclerosis Research Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Laia Valls is often cited by papers focused on MRI in cancer diagnosis (3 papers), Multiple Sclerosis Research Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Laia Valls collaborates with scholars based in United States, Spain and Palestine. Laia Valls's co-authors include Arnau Oliver, Xavier Lladó, Jordi Freixenet, Àlex Rovira, Lluís Ramió‐Torrentà, Joan C. Vilanova, Mariano Cabezas, A. Saura Quiles, Norbert Avril and Christopher Hoimes and has published in prestigious journals such as Information Sciences, Blood Reviews and Neuroradiology.

In The Last Decade

Co-authorship network of co-authors of Laia Valls i

Fields of papers citing papers by Laia Valls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laia Valls

Since Specialization
Citations

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