Maria Agnese Della Fazia

47 papers and 1.1k indexed citations i.

About

Maria Agnese Della Fazia is a scholar working on Molecular Biology, Hepatology and Surgery. According to data from OpenAlex, Maria Agnese Della Fazia has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Hepatology and 10 papers in Surgery. Recurrent topics in Maria Agnese Della Fazia’s work include Liver physiology and pathology (12 papers), Ubiquitin and proteasome pathways (7 papers) and Lipid metabolism and biosynthesis (6 papers). Maria Agnese Della Fazia is often cited by papers focused on Liver physiology and pathology (12 papers), Ubiquitin and proteasome pathways (7 papers) and Lipid metabolism and biosynthesis (6 papers). Maria Agnese Della Fazia collaborates with scholars based in Italy, United States and France. Maria Agnese Della Fazia's co-authors include Giuseppe Servillo, Paolo Sassone‐Corsi, Marilena Castelli, Danilo Piobbico, D. BARTOLI, Stefania Pieroni, Marina Maria Bellet, Tommaso Beccari, Rita Roberti and Nicholas S. Foulkes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Co-authorship network of co-authors of Maria Agnese Della Fazia i

Fields of papers citing papers by Maria Agnese Della Fazia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Agnese Della Fazia. 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 Maria Agnese Della Fazia. The network helps show where Maria Agnese Della Fazia may publish in the future.

Countries citing papers authored by Maria Agnese Della Fazia

Since Specialization
Citations

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