Viviana Triaca
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Developmental Neuroscience top 2%
- Physiology top 10%
- Neurology top 10%
- Co-authors
- Luigi AloePaola TirassaMarco FiorePietro CalissanoTiziana AmendolaNadia CanuMaria Teresa CiottiG. Properzi
- Topics
- Nerve injury and regeneration (25 papers)Neurogenesis and neuroplasticity mechanisms (13 papers)Alzheimer's disease research and treatments (11 papers)
- Partner nations
- ItalyUnited StatesRomania
In The Last Decade
Viviana Triaca
40 papers receiving 848 citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 389
- Molecular Biology 233
- Developmental Neuroscience 218
- Physiology 199
- Neurology 128
Countries citing papers authored by Viviana Triaca
This map shows the geographic impact of Viviana Triaca'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 Viviana Triaca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viviana Triaca more than expected).
Fields of papers citing papers by Viviana Triaca
This network shows the impact of papers produced by Viviana Triaca. 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 Viviana Triaca. The network helps show where Viviana Triaca may publish in the future.
Co-authorship network of co-authors of Viviana Triaca
This figure shows the co-authorship network connecting the top 25 collaborators of Viviana Triaca. A scholar is included among the top collaborators of Viviana Triaca 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 Viviana Triaca. Viviana Triaca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 41 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 22 | |
| 9 | 20 | |
| 10 | 30 | |
| 11 | 46 | |
| 12 | 11 | |
| 13 | 20 | |
| 14 | 6 | |
| 15 | 11 | |
| 16 | 23 | |
| 17 | Circulating NGF antibody alters the distribution of NG2 and CD56 positive cells in the brain of an animal model of inflammatory disorder. | 8 |
| 18 | 47 | |
| 19 | 49 | |
| 20 | Patients treated with antitumor drugs displaying neurological deficits are characterized by a low circulating level of nerve growth factor. | 61 |
About Viviana Triaca
Viviana Triaca is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 42 papers that have together received 855 indexed citations. Recurring topics across this work include Nerve injury and regeneration (25 papers), Neurogenesis and neuroplasticity mechanisms (13 papers) and Alzheimer's disease research and treatments (11 papers). The work is most often cited by research in Developmental Neuroscience (218 citations), Cellular and Molecular Neuroscience (389 citations) and Neurology (128 citations). Viviana Triaca has collaborated with scholars based in Italy, United States and Romania. Frequent co-authors include Luigi Aloe, Paola Tirassa, Marco Fiore, Pietro Calissano, Tiziana Amendola, Nadia Canu, Maria Teresa Ciotti, G. Properzi, Valentina Sposato and Robert Nisticò. Their work appears in journals such as Journal of Neuroscience, Nature Neuroscience 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.