Maria Luisa Barretta

25 papers and 654 indexed citations i.

About

Maria Luisa Barretta is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Maria Luisa Barretta has authored 25 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Cell Biology. Recurrent topics in Maria Luisa Barretta’s work include Microtubule and mitosis dynamics (7 papers), Cellular transport and secretion (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Maria Luisa Barretta is often cited by papers focused on Microtubule and mitosis dynamics (7 papers), Cellular transport and secretion (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Maria Luisa Barretta collaborates with scholars based in Italy, United States and Japan. Maria Luisa Barretta's co-authors include Antonino Colanzi, Daniela Corda, Letizia Capasso, Maria Vittoria Barone, Merlin Nanayakkara, R Paludetto, Francesco Raimondi, Pasquale Santoro, Vincenza Granata and Antonella Petrillo and has published in prestigious journals such as Nature Communications, Journal of Cell Science and FEBS Letters.

In The Last Decade

Co-authorship network of co-authors of Maria Luisa Barretta i

Fields of papers citing papers by Maria Luisa Barretta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Luisa Barretta. 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 Maria Luisa Barretta. The network helps show where Maria Luisa Barretta may publish in the future.

Countries citing papers authored by Maria Luisa Barretta

Since Specialization
Citations

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