Daniela Pietrobon
- Molecular Biology top 1%
- Psychiatry and Mental health top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Physiology top 2%
- Endocrine and Autonomic Systems top 0.5%
- Co-authors
- Michael A. MoskowitzAngelita TotteneJörg StriessnigGiovanni AzzonePeter HessBlaise Prod'homDania VecchiaMario Zoratti
- Topics
- Migraine and Headache Studies (37 papers)Ion channel regulation and function (29 papers)Neuroscience and Neuropharmacology Research (24 papers)
- Cited by
- Psychiatry and Mental healthCellular and Molecular NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Daniela Pietrobon
89 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 4.1k
- Psychiatry and Mental health 3.3k
- Cellular and Molecular Neuroscience 3.2k
- Physiology 1.2k
- Endocrine and Autonomic Systems 1.2k
Countries citing papers authored by Daniela Pietrobon
This map shows the geographic impact of Daniela Pietrobon'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 Daniela Pietrobon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Pietrobon more than expected).
Fields of papers citing papers by Daniela Pietrobon
This network shows the impact of papers produced by Daniela Pietrobon. 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 Daniela Pietrobon. The network helps show where Daniela Pietrobon may publish in the future.
Co-authorship network of co-authors of Daniela Pietrobon
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Pietrobon. A scholar is included among the top collaborators of Daniela Pietrobon 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 Daniela Pietrobon. Daniela Pietrobon 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 | 22 | |
| 3 | 32 | |
| 4 | 150 | |
| 5 | 73 | |
| 6 | 48 | |
| 7 | 36 | |
| 8 | 253 | |
| 9 | 159 | |
| 10 | 9 | |
| 11 | A Cacna1a Knockin Migraine Mouse Model with Increased Susceptibility to Cortical Spreading Depressionbreakdown → | 517 |
| 12 | 204 | |
| 13 | 148 | |
| 14 | 14 | |
| 15 | 5 | |
| 16 | 13 | |
| 17 | 86 | |
| 18 | 17 | |
| 19 | 49 | |
| 20 | 84 |
About Daniela Pietrobon
Daniela Pietrobon is a scholar working on Endocrine and Autonomic Systems, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 92 papers that have together received 7.9k indexed citations. Recurring topics across this work include Migraine and Headache Studies (37 papers), Ion channel regulation and function (29 papers) and Neuroscience and Neuropharmacology Research (24 papers). The work is most often cited by research in Psychiatry and Mental health (3.3k citations), Cellular and Molecular Neuroscience (3.2k citations) and Endocrine and Autonomic Systems (1.2k citations). Daniela Pietrobon has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Michael A. Moskowitz, Angelita Tottene, Jörg Striessnig, Giovanni Azzone, Peter Hess, Blaise Prod'hom, Dania Vecchia, Mario Zoratti, Arn M. J. M. van den Maagdenberg and Siro Luvisetto. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.