Fabrizio Vacca
- Molecular Biology
- Physiology top 0.5%
- Neurology top 5%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jean GrüenbergCameron C. ScottCinzia VolontéSusanna AmadioGiorgio BernardiNadia D’AmbrosiFabio CavaliereGiuseppe Sancesario
- Topics
- Adenosine and Purinergic Signaling (8 papers)Lipid Membrane Structure and Behavior (4 papers)Cellular transport and secretion (4 papers)
- Partner nations
- ItalySwitzerlandAustralia
In The Last Decade
Fabrizio Vacca
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 573
- Physiology 413
- Neurology 238
- Cell Biology 232
- Cellular and Molecular Neuroscience 210
Countries citing papers authored by Fabrizio Vacca
This map shows the geographic impact of Fabrizio Vacca'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 Fabrizio Vacca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Vacca more than expected).
Fields of papers citing papers by Fabrizio Vacca
This network shows the impact of papers produced by Fabrizio Vacca. 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 Fabrizio Vacca. The network helps show where Fabrizio Vacca may publish in the future.
Co-authorship network of co-authors of Fabrizio Vacca
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Vacca. A scholar is included among the top collaborators of Fabrizio Vacca 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 Fabrizio Vacca. Fabrizio Vacca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 30 | |
| 3 | 33 | |
| 4 | 38 | |
| 5 | Endosome maturation, transport and functionsbreakdown → | 419 |
| 6 | 74 | |
| 7 | 13 | |
| 8 | 32 | |
| 9 | 16 | |
| 10 | 21 | |
| 11 | 24 | |
| 12 | 55 | |
| 13 | 34 | |
| 14 | 138 | |
| 15 | 144 | |
| 16 | 105 | |
| 17 | 56 | |
| 18 | Transactivation of the epidermal growth factor receptor in endothelin-1-induced mitogenic signaling in human ovarian carcinoma cells. | 111 |
| 19 | 22 |
About Fabrizio Vacca
Fabrizio Vacca is a scholar working on Physiology, Endocrine and Autonomic Systems and Cell Biology, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (8 papers), Lipid Membrane Structure and Behavior (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Physiology (413 citations), Neurology (238 citations) and Endocrine and Autonomic Systems (105 citations). Fabrizio Vacca has collaborated with scholars based in Italy, Switzerland and Australia. Frequent co-authors include Jean Grüenberg, Cameron C. Scott, Cinzia Volonté, Susanna Amadio, Giorgio Bernardi, Nadia D’Ambrosi, Fabio Cavaliere, Giuseppe Sancesario, Anna Bagnato and Raffaele Tecce. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuroscience.
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.