Dania Vecchia
Impact in
- Psychiatry and Mental health top 2%
- Migraine and Headache Studies
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Photoreceptor and optogenetics research 5
- Neuroscience and Neuropharmacology Research 2
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- Neural dynamics and brain function 6
- Co-authors
- Daniela Pietrobon (4 shared papers)Arn M. J. M. van den Maagdenberg (3 shared papers)Angelita Tottene (3 shared papers)Tommaso Fellin (9 shared papers)Rossella Conti (1 shared paper)Alessandra Fabbro (1 shared paper)Mirko Santello (1 shared paper)Michel D. Ferrari (1 shared paper)
- Journals
- Cell Reports (2 papers)Cerebral Cortex (2 papers)eLife (2 papers)Neurobiology of Disease (1 paper)Frontiers in Cellular Neuroscience (1 paper)
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
Dania Vecchia
13 papers receiving 946 citations
Peers
Comparison fields: 5 of 83
- Psychiatry and Mental health 417
- Cellular and Molecular Neuroscience 371
- Endocrine and Autonomic Systems 118
- Cognitive Neuroscience 256
- Biophysics 68
Countries citing papers authored by Dania Vecchia
This map shows the geographic impact of Dania Vecchia'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 Dania Vecchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dania Vecchia more than expected).
Fields of papers citing papers by Dania Vecchia
This network shows the impact of papers produced by Dania Vecchia. 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 Dania Vecchia. The network helps show where Dania Vecchia may publish in the future.
Co-authors
The 25 scholars most cited alongside Dania Vecchia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 262 | |
| 2 | 2012 | 189 | |
| 3 | 2017 | 137 | |
| 4 | 2018 | 109 | |
| 5 | 2016 | 52 | |
| 6 | 2014 | 48 | |
| 7 | 2015 | 39 | |
| 8 | 2020 | 35 | |
| 9 | 2022 | 34 | |
| 10 | 2020 | 25 | |
| 11 | 2024 | 14 | |
| 12 | 2020 | 8 | |
| 13 | 2021 | 3 |
About Dania Vecchia
Dania Vecchia is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Psychiatry and Mental health, Biophysics and Molecular Biology, having authored 13 papers that have together received 955 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Photoreceptor and optogenetics research (5 papers), Migraine and Headache Studies (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Trigeminal Neuralgia and Treatments (3 papers), Retinal Development and Disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Psychiatry and Mental health (417 citations), Cellular and Molecular Neuroscience (371 citations), Endocrine and Autonomic Systems (118 citations), Cognitive Neuroscience (256 citations) and Biophysics (68 citations). Dania Vecchia has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Daniela Pietrobon, Arn M. J. M. van den Maagdenberg, Angelita Tottene, Tommaso Fellin, Rossella Conti, Alessandra Fabbro, Mirko Santello, Michel D. Ferrari, Claudio Moretti and Serena Bovetti. Their work appears in journals such as Cell Reports, Cerebral Cortex, eLife, Neurobiology of Disease and Frontiers in Cellular 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.