Massimo De Martinis

109 papers and 4.3k indexed citations i.

About

Massimo De Martinis is a scholar working on Immunology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Massimo De Martinis has authored 109 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 21 papers in Pathology and Forensic Medicine and 18 papers in Molecular Biology. Recurrent topics in Massimo De Martinis’s work include Immune Cell Function and Interaction (13 papers), Urticaria and Related Conditions (11 papers) and T-cell and B-cell Immunology (9 papers). Massimo De Martinis is often cited by papers focused on Immune Cell Function and Interaction (13 papers), Urticaria and Related Conditions (11 papers) and T-cell and B-cell Immunology (9 papers). Massimo De Martinis collaborates with scholars based in Italy, Belgium and United Kingdom. Massimo De Martinis's co-authors include Lia Ginaldi, Maria Maddalena Sirufo, Claudio Franceschi, Daniela Monti, M. F. Loreto, Marco Modesti, Nahla Farahat, Ricardo Morilla, L. Marini and Daniela Quaglino and has published in prestigious journals such as Scientific Reports, FEBS Letters and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Massimo De Martinis i

Fields of papers citing papers by Massimo De Martinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo De Martinis

Since Specialization
Citations

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