Carmela Giampà
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Neurology top 2%
- Neurology top 2%
- Pharmacology top 5%
- Co-authors
- Francesca R. FuscoGiorgio BernardiPaolo CalabresiVeronica GhiglieriStefano PatassiniBarbara PicconiMassimiliano Di FilippoDaunia Laurenti
- Topics
- Genetic Neurodegenerative Diseases (19 papers)Neuroscience and Neuropharmacology Research (16 papers)Neurological disorders and treatments (13 papers)
- Journals
- Journal of Biological ChemistryJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Carmela Giampà
43 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 1.0k
- Neurology 654
- Neurology 307
- Pharmacology 298
Countries citing papers authored by Carmela Giampà
This map shows the geographic impact of Carmela Giampà'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 Carmela Giampà with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmela Giampà more than expected).
Fields of papers citing papers by Carmela Giampà
This network shows the impact of papers produced by Carmela Giampà. 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 Carmela Giampà. The network helps show where Carmela Giampà may publish in the future.
Co-authorship network of co-authors of Carmela Giampà
This figure shows the co-authorship network connecting the top 25 collaborators of Carmela Giampà. A scholar is included among the top collaborators of Carmela Giampà 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 Carmela Giampà. Carmela Giampà is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 19 | |
| 3 | 19 | |
| 4 | 9 | |
| 5 | 78 | |
| 6 | 44 | |
| 7 | 34 | |
| 8 | 21 | |
| 9 | 56 | |
| 10 | 155 | |
| 11 | 72 | |
| 12 | 30 | |
| 13 | 139 | |
| 14 | 111 | |
| 15 | 55 | |
| 16 | 33 | |
| 17 | 25 | |
| 18 | 26 | |
| 19 | 48 | |
| 20 | 52 |
About Carmela Giampà
Carmela Giampà is a scholar working on Cellular and Molecular Neuroscience, Neurology and Sensory Systems, having authored 43 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (19 papers), Neuroscience and Neuropharmacology Research (16 papers) and Neurological disorders and treatments (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Neurology (654 citations) and Neurology (307 citations). Carmela Giampà has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Francesca R. Fusco, Giorgio Bernardi, Paolo Calabresi, Veronica Ghiglieri, Stefano Patassini, Barbara Picconi, Massimiliano Di Filippo, Daunia Laurenti, Alessandro Tozzi and Vincenza Bagetta. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.