Massimo Labirio

9 papers and 791 indexed citations i.

About

Massimo Labirio is a scholar working on Oncology, Hematology and Epidemiology. According to data from OpenAlex, Massimo Labirio has authored 9 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Hematology and 3 papers in Epidemiology. Recurrent topics in Massimo Labirio’s work include Polyomavirus and related diseases (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Viral-associated cancers and disorders (4 papers). Massimo Labirio is often cited by papers focused on Polyomavirus and related diseases (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Viral-associated cancers and disorders (4 papers). Massimo Labirio collaborates with scholars based in Italy. Massimo Labirio's co-authors include Rita Maccario, Patrizia Comoli, Sabrina Basso, Franco Locatelli, Fausto Baldanti, Antonia Moretta, Milena Furione, Fabrizio Ginevri, Daniela Montagna and Chiara Frasson and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Transplantation.

In The Last Decade

Co-authorship network of co-authors of Massimo Labirio i

Fields of papers citing papers by Massimo Labirio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Labirio

Since Specialization
Citations

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