Maria De Luca

24 papers and 805 indexed citations i.

About

Maria De Luca is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maria De Luca has authored 24 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maria De Luca’s work include Cellular transport and secretion (8 papers), Microtubule and mitosis dynamics (7 papers) and ATP Synthase and ATPases Research (4 papers). Maria De Luca is often cited by papers focused on Cellular transport and secretion (8 papers), Microtubule and mitosis dynamics (7 papers) and ATP Synthase and ATPases Research (4 papers). Maria De Luca collaborates with scholars based in Italy, United Kingdom and United States. Maria De Luca's co-authors include Cecilia Bucci, Patrizia Lavia, Giulia Guarguaglini, Catherine Lindon, Italia Anna Asteriti, Maria Giubettini, Simona Rella, Cosimino Malitesta, Elisabetta Mazzotta and Azzurra Margiotta and has published in prestigious journals such as Biomaterials, Oncogene and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Maria De Luca i

Fields of papers citing papers by Maria De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria De Luca

Since Specialization
Citations

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