Flaminio Cattabeni
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 2%
- Physiology top 1%
- Physiology top 0.05%
- Neurology top 0.5%
- Co-authors
- Mónica Di LucaMaria P. AbbracchioFabrizio GardoniBarbara BorroniAlessandro PadovaniFrancesca ColciaghiStefania CerutiRoberta Brambilla
- Topics
- Neuroscience and Neuropharmacology Research (61 papers)Adenosine and Purinergic Signaling (39 papers)Alzheimer's disease research and treatments (22 papers)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Flaminio Cattabeni
170 papers receiving 7.1k citations
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 3.1k
- Molecular Biology 2.8k
- Physiology 1.7k
- Physiology 1.7k
- Neurology 1.1k
Countries citing papers authored by Flaminio Cattabeni
This map shows the geographic impact of Flaminio Cattabeni'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 Flaminio Cattabeni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flaminio Cattabeni more than expected).
Fields of papers citing papers by Flaminio Cattabeni
This network shows the impact of papers produced by Flaminio Cattabeni. 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 Flaminio Cattabeni. The network helps show where Flaminio Cattabeni may publish in the future.
Co-authorship network of co-authors of Flaminio Cattabeni
This figure shows the co-authorship network connecting the top 25 collaborators of Flaminio Cattabeni. A scholar is included among the top collaborators of Flaminio Cattabeni 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 Flaminio Cattabeni. Flaminio Cattabeni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Fatty acid profiles of blood lipids in a population group in Tibet: correlations with diet and environmental conditions. | 10 |
| 2 | 72 | |
| 3 | 42 | |
| 4 | 23 | |
| 5 | Ginkgo biloba extract: from molecular mechanisms to the treatment of Alzhelmer's disease. | 59 |
| 6 | 22 | |
| 7 | 37 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 84 | |
| 11 | 66 | |
| 12 | 66 | |
| 13 | 82 | |
| 14 | 78 | |
| 15 | 3 | |
| 16 | 42 | |
| 17 | [3H]-CGP 39653 mapping of glutamatergic N-methyl-D-aspartate receptors in the brain of aged rats | 15 |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 26 |
About Flaminio Cattabeni
Flaminio Cattabeni is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 171 papers that have together received 7.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (61 papers), Adenosine and Purinergic Signaling (39 papers) and Alzheimer's disease research and treatments (22 papers). The work is most often cited by research in Physiology (1.7k citations), Cellular and Molecular Neuroscience (3.1k citations) and Neurology (1.1k citations). Flaminio Cattabeni has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Mónica Di Luca, Maria P. Abbracchio, Fabrizio Gardoni, Barbara Borroni, Alessandro Padovani, Francesca Colciaghi, Stefania Ceruti, Roberta Brambilla, Geoffrey Burnstock and E. Costa. Their work appears in journals such as Science, The Lancet and Journal of Biological Chemistry.
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.