Massimo Masi

95 papers and 1.9k indexed citations i.

About

Massimo Masi is a scholar working on Dermatology, Computational Mechanics and Immunology and Allergy. According to data from OpenAlex, Massimo Masi has authored 95 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Dermatology, 20 papers in Computational Mechanics and 20 papers in Immunology and Allergy. Recurrent topics in Massimo Masi’s work include Allergic Rhinitis and Sensitization (18 papers), Advanced Combustion Engine Technologies (16 papers) and Dermatology and Skin Diseases (16 papers). Massimo Masi is often cited by papers focused on Allergic Rhinitis and Sensitization (18 papers), Advanced Combustion Engine Technologies (16 papers) and Dermatology and Skin Diseases (16 papers). Massimo Masi collaborates with scholars based in Italy, United States and United Kingdom. Massimo Masi's co-authors include Annalisa Patrizi, Giampaolo Ricci, Barbara Bendandi, Giuseppe Menna, Andrea Lazzaretto, Claudio Franceschi, Maria Zannotti, Federico Licastro, Fernando Specchia and Giampaolo Ricci and has published in prestigious journals such as The Lancet, The Journal of Immunology and Applied Energy.

In The Last Decade

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

Fields of papers citing papers by Massimo Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Masi

Since Specialization
Citations

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