Massimo La Rosa

42 papers and 865 indexed citations i.

About

Massimo La Rosa is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Massimo La Rosa has authored 42 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Massimo La Rosa’s work include Genomics and Phylogenetic Studies (7 papers), MicroRNA in disease regulation (7 papers) and Physiological and biochemical adaptations (4 papers). Massimo La Rosa is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), MicroRNA in disease regulation (7 papers) and Physiological and biochemical adaptations (4 papers). Massimo La Rosa collaborates with scholars based in Italy, Spain and India. Massimo La Rosa's co-authors include Antonino Fiannaca, Alfonso Urso, Riccardo Rizzo, Laura La Paglia, Armando Ialenti, Enrìco Cillari, Salvatore Milano, Viviana Ferlazzo, Gloria Di Bella and P. D’Agostino and has published in prestigious journals such as Annals of the New York Academy of Sciences, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Co-authorship network of co-authors of Massimo La Rosa i

Fields of papers citing papers by Massimo La Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo La Rosa. 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 Massimo La Rosa. The network helps show where Massimo La Rosa may publish in the future.

Countries citing papers authored by Massimo La Rosa

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025