Federico Minneci

9 papers and 1.3k indexed citations i.

About

Federico Minneci is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Federico Minneci has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Federico Minneci’s work include Machine Learning in Bioinformatics (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Photoreceptor and optogenetics research (3 papers). Federico Minneci is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Photoreceptor and optogenetics research (3 papers). Federico Minneci collaborates with scholars based in United Kingdom, Italy and Iran. Federico Minneci's co-authors include David T. Jones, Daniel Buchan, Kevin Bryson, Domenico Cozzetto, Hannah Currant, Enrico Cherubini, Elisabetta Sola, Laura Maggi, Damiano Piovesan and Jean Pierre Changeux and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Journal of Physiology.

In The Last Decade

Co-authorship network of co-authors of Federico Minneci i

Fields of papers citing papers by Federico Minneci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Minneci

Since Specialization
Citations

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