Daniela Marazziti

37 papers and 870 indexed citations i.

About

Daniela Marazziti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Daniela Marazziti has authored 37 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 6 papers in Genetics. Recurrent topics in Daniela Marazziti’s work include Receptor Mechanisms and Signaling (6 papers), Hedgehog Signaling Pathway Studies (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Daniela Marazziti is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Hedgehog Signaling Pathway Studies (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Daniela Marazziti collaborates with scholars based in Italy, United States and China. Daniela Marazziti's co-authors include Rafaele Matteoni, Glauco P. Tocchini‐Valentini, Elisabetta Golini, Chiara Di Pietro, Silvia Mandillo, Giovanni Giuliano, F Loschiavo, M. Terzi, Letizia Pitto and Giuseppe Torti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Daniela Marazziti i

Fields of papers citing papers by Daniela Marazziti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Marazziti. 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 Daniela Marazziti. The network helps show where Daniela Marazziti may publish in the future.

Countries citing papers authored by Daniela Marazziti

Since Specialization
Citations

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