Matteo de Rosa

50 papers and 878 indexed citations i.

About

Matteo de Rosa is a scholar working on Molecular Biology, Materials Chemistry and Physiology. According to data from OpenAlex, Matteo de Rosa has authored 50 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 10 papers in Materials Chemistry and 10 papers in Physiology. Recurrent topics in Matteo de Rosa’s work include Enzyme Structure and Function (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers) and Alzheimer's disease research and treatments (8 papers). Matteo de Rosa is often cited by papers focused on Enzyme Structure and Function (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (9 papers) and Alzheimer's disease research and treatments (8 papers). Matteo de Rosa collaborates with scholars based in Italy, Spain and Portugal. Matteo de Rosa's co-authors include Giuliana Zanetti, Alessandro Aliverti, Andrea Pennati, V. Pandini, Stéfano Ricagno, Martino Bolognesi, Alberto Barbiroli, M V Borobio, A. Athanasiadis and Vittorio Bellotti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Matteo de Rosa i

Fields of papers citing papers by Matteo de Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matteo de Rosa

Since Specialization
Citations

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

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2025