Loredana Di Matteo

81 papers and 2.1k indexed citations i.

About

Loredana Di Matteo is a scholar working on Reproductive Medicine, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Loredana Di Matteo has authored 81 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Reproductive Medicine, 25 papers in Physiology and 24 papers in Cellular and Molecular Neuroscience. Recurrent topics in Loredana Di Matteo’s work include Reproductive biology and impacts on aquatic species (25 papers), Sperm and Testicular Function (22 papers) and Neurobiology and Insect Physiology Research (22 papers). Loredana Di Matteo is often cited by papers focused on Reproductive biology and impacts on aquatic species (25 papers), Sperm and Testicular Function (22 papers) and Neurobiology and Insect Physiology Research (22 papers). Loredana Di Matteo collaborates with scholars based in Italy, Canada and Switzerland. Loredana Di Matteo's co-authors include Sergio Minucci, Riccardo Pierantoni, Brian Dale, Martin Wilding, Silvia Fasano, Gabriella Chieffi Baccari, Bruno Varriale, G. Chieffi, Giuseppe De Placido and M. L. Pisaturo and has published in prestigious journals such as Scientific Reports, Endocrinology and Human Reproduction.

In The Last Decade

Co-authorship network of co-authors of Loredana Di Matteo i

Fields of papers citing papers by Loredana Di Matteo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Loredana Di Matteo. 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 Loredana Di Matteo. The network helps show where Loredana Di Matteo may publish in the future.

Countries citing papers authored by Loredana Di Matteo

Since Specialization
Citations

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