Ivan Marchionni

20 papers and 933 indexed citations i.

About

Ivan Marchionni is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ivan Marchionni has authored 20 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Ivan Marchionni’s work include Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (5 papers) and Neural dynamics and brain function (5 papers). Ivan Marchionni is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (5 papers) and Neural dynamics and brain function (5 papers). Ivan Marchionni collaborates with scholars based in Italy, United States and Germany. Ivan Marchionni's co-authors include Enrico Cherubini, Iván Soltész, Csaba Varga, Marianne Bezaire, Gianmaria Maccaferri, Attila Losonczy, Sang-Hun Lee, Nathan Danielson, Matthew Lovett-Barron and Paola Zacchi and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Ivan Marchionni i

Fields of papers citing papers by Ivan Marchionni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ivan Marchionni

Since Specialization
Citations

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