Caterina Cascio
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Behavioral Neuroscience top 2%
- Physiology
- Co-authors
- Vassilios PapadopoulosP. GuarneriDomenica RussoRosa GuarneriFederico PiccoliRachel C. BrownGiacoma GalizziBranislav Vidić
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Receptor Mechanisms and Signaling (5 papers)Hormonal and reproductive studies (4 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Caterina Cascio
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 550
- Cellular and Molecular Neuroscience 379
- Endocrinology, Diabetes and Metabolism 197
- Behavioral Neuroscience 181
- Physiology 175
Countries citing papers authored by Caterina Cascio
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 22 | |
| 3 | 72 | |
| 4 | 32 | |
| 5 | 10 | |
| 6 | 25 | |
| 7 | 26 | |
| 8 | 58 | |
| 9 | [Rupture of the atherosclerotic plaque: is Chlamydia pneumoniae a possible agent?]. | 1 |
| 10 | 34 | |
| 11 | 34 | |
| 12 | 22 | |
| 13 | 19 | |
| 14 | 103 | |
| 15 | 29 | |
| 16 | 38 | |
| 17 | 26 | |
| 18 | 324 | |
| 19 | 34 | |
| 20 | 101 |
About Caterina Cascio
Caterina Cascio is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (5 papers) and Hormonal and reproductive studies (4 papers). The work is most often cited by research in Behavioral Neuroscience (181 citations), Cellular and Molecular Neuroscience (379 citations) and Biological Psychiatry (42 citations). Caterina Cascio has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Vassilios Papadopoulos, P. Guarneri, Domenica Russo, Rosa Guarneri, Federico Piccoli, Rachel C. Brown, Giacoma Galizzi, Branislav Vidić, N. Boujrad and Hua Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biological Psychiatry and Brain Research.
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.