Mario Di Matteo

20 papers and 1.5k indexed citations i.

About

Mario Di Matteo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Mario Di Matteo has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Oncology. Recurrent topics in Mario Di Matteo’s work include RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers) and CRISPR and Genetic Engineering (3 papers). Mario Di Matteo is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers) and CRISPR and Genetic Engineering (3 papers). Mario Di Matteo collaborates with scholars based in Belgium, Italy and Germany. Mario Di Matteo's co-authors include Massimiliano Mazzone, Hans Prenen, Jens Serneels, Rosa Martín‐Pérez, Bart Ghesquière, Min Shang, Peter Carmeliet, Mathias Wenes, Giusy Di Conza and Jermaine Goveia and has published in prestigious journals such as Nature, Nucleic Acids Research and Blood.

In The Last Decade

Co-authorship network of co-authors of Mario Di Matteo i

Fields of papers citing papers by Mario Di Matteo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Di Matteo. 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 Mario Di Matteo. The network helps show where Mario Di Matteo may publish in the future.

Countries citing papers authored by Mario Di Matteo

Since Specialization
Citations

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