Caterina Cascio

50 total papers · 1.5k total citations
29 papers, 1.2k citations indexed

About

Caterina Cascio is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Caterina Cascio has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Caterina Cascio's work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (5 papers) and Hormonal and reproductive studies (4 papers). Caterina Cascio is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (5 papers) and Hormonal and reproductive studies (4 papers). Caterina Cascio collaborates with scholars based in Italy, United States and Spain. Caterina Cascio's co-authors include Vassilios Papadopoulos, P. Guarneri, Domenica Russo, Rosa Guarneri, Federico Piccoli, Rachel C. Brown, Giacoma Galizzi, Hakima Amri, Martine Garnier and Matthew Hardwick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biological Psychiatry and Brain Research.

In The Last Decade

Caterina Cascio

29 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Caterina Cascio 549 379 197 181 171 29 1.2k
P. Guarneri 542 1.0× 500 1.3× 132 0.7× 167 0.9× 173 1.0× 38 1.3k
Nadhim Bayatti 547 1.0× 471 1.2× 54 0.3× 145 0.8× 150 0.9× 30 1.3k
H Koenig 487 0.9× 707 1.9× 145 0.7× 156 0.9× 168 1.0× 36 1.4k
Theologos M. Michaelidis 755 1.4× 336 0.9× 123 0.6× 173 1.0× 142 0.8× 28 1.4k
Catalina Hernández‐Sánchez 922 1.7× 247 0.7× 357 1.8× 44 0.2× 179 1.0× 43 1.4k
Valérie Enderlin 634 1.2× 279 0.7× 176 0.9× 77 0.4× 166 1.0× 26 967
Andrew Midzak 573 1.0× 164 0.4× 276 1.4× 85 0.5× 175 1.0× 19 1.2k
Chang Su 437 0.8× 236 0.6× 149 0.8× 107 0.6× 120 0.7× 26 1.0k
Robert J. Gaivin 947 1.7× 663 1.7× 84 0.4× 58 0.3× 204 1.2× 34 1.4k
Anna Ottlecz 487 0.9× 402 1.1× 171 0.9× 26 0.1× 105 0.6× 44 1.2k

Countries citing papers authored by Caterina Cascio

Since Specialization
Citations

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

Fields of papers citing papers by Caterina Cascio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caterina Cascio

This figure shows the co-authorship network connecting the top 25 collaborators of Caterina Cascio. A scholar is included among the top collaborators of Caterina Cascio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Caterina Cascio. Caterina Cascio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026