Maria Flavia Di Renzo

106 papers and 7.3k indexed citations i.

About

Maria Flavia Di Renzo is a scholar working on Molecular Biology, Hepatology and Oncology. According to data from OpenAlex, Maria Flavia Di Renzo has authored 106 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 43 papers in Hepatology and 21 papers in Oncology. Recurrent topics in Maria Flavia Di Renzo’s work include Liver physiology and pathology (43 papers), PI3K/AKT/mTOR signaling in cancer (12 papers) and Cancer Mechanisms and Therapy (11 papers). Maria Flavia Di Renzo is often cited by papers focused on Liver physiology and pathology (43 papers), PI3K/AKT/mTOR signaling in cancer (12 papers) and Cancer Mechanisms and Therapy (11 papers). Maria Flavia Di Renzo collaborates with scholars based in Italy, United States and United Kingdom. Maria Flavia Di Renzo's co-authors include Paolo M. Comoglio, Martina Olivero, Silvia Giordano, Luigi Naldini, Federico Bussolino, Giovanni Gaudino, Luca Tamagnone, Marina Ziche, Elena Bocchietto and Arnold I. Coffer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Maria Flavia Di Renzo i

Fields of papers citing papers by Maria Flavia Di Renzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Flavia Di Renzo. 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 Flavia Di Renzo. The network helps show where Maria Flavia Di Renzo may publish in the future.

Countries citing papers authored by Maria Flavia Di Renzo

Since Specialization
Citations

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