Daniela Pietrobon

10.3k total citations · 2 hit papers
92 papers, 7.9k citations indexed

About

Daniela Pietrobon is a scholar working on Molecular Biology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniela Pietrobon has authored 92 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 38 papers in Psychiatry and Mental health and 37 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniela Pietrobon's work include Migraine and Headache Studies (37 papers), Ion channel regulation and function (29 papers) and Neuroscience and Neuropharmacology Research (24 papers). Daniela Pietrobon is often cited by papers focused on Migraine and Headache Studies (37 papers), Ion channel regulation and function (29 papers) and Neuroscience and Neuropharmacology Research (24 papers). Daniela Pietrobon collaborates with scholars based in Italy, United States and Netherlands. Daniela Pietrobon's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniela Pietrobon

89 papers receiving 7.7k citations

Hit Papers

A Cacna1a Knockin Migraine Mouse Model with Increased Sus... 2004 2026 2011 2018 2004 2012 100 200 300 400 500

Peers

Daniela Pietrobon
Christian Waeber United States
James McCulloch United Kingdom
Andrew F. Russo United States
Steven M. Rothman United States
Karen Gale United States
Solomon H. Snyder United States
Christian Waeber United States
Daniela Pietrobon
Citations per year, relative to Daniela Pietrobon Daniela Pietrobon (= 1×) peers Christian Waeber

Countries citing papers authored by Daniela Pietrobon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Pietrobon, Daniela & K. C. Brennan. (2025). Mechanisms underlying CSD initiation implicated by genetic mouse models of migraine. The Journal of Headache and Pain. 26(1). 17–17.
2.
Vitale, Marina, et al.. (2023). Mechanisms of initiation of cortical spreading depression. The Journal of Headache and Pain. 24(1). 105–105. 22 indexed citations
3.
Pietrobon, Daniela & K. C. Brennan. (2019). Genetic mouse models of migraine. The Journal of Headache and Pain. 20(1). 79–79. 32 indexed citations
4.
Brennan, K. C. & Daniela Pietrobon. (2018). A Systems Neuroscience Approach to Migraine. Neuron. 97(5). 1004–1021. 150 indexed citations
5.
Pietrobon, Daniela. (2012). Calcium channels and migraine. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(7). 1655–1665. 73 indexed citations
6.
Fioretti, Bernard, Luigi Catacuzzeno, Luigi Sforna, et al.. (2011). Trigeminal ganglion neuron subtype‐specific alterations of CaV2.1 calcium current and excitability in a Cacna1a mouse model of migraine. The Journal of Physiology. 589(23). 5879–5895. 48 indexed citations
7.
Tottene, Angelita, Andrea Urbani, & Daniela Pietrobon. (2011). Role of different voltage-gated Ca2+channels in cortical spreading depression: Specific requirement of P/Q-type Ca2+channels. Channels. 5(2). 110–114. 36 indexed citations
8.
Tottene, Angelita, Rossella Conti, Alessandra Fabbro, et al.. (2009). Enhanced Excitatory Transmission at Cortical Synapses as the Basis for Facilitated Spreading Depression in CaV2.1 Knockin Migraine Mice. Neuron. 61(5). 762–773. 253 indexed citations
9.
Pietrobon, Daniela. (2007). Familial Hemiplegic Migraine. Neurotherapeutics. 4(2). 274–284. 159 indexed citations
10.
Fellin, Tommaso, Siro Luvisetto, Michele Spagnolo, & Daniela Pietrobon. (2004). Modal Gating of Human CaV2.1 (P/Q-type) Calcium Channels. The Journal of General Physiology. 124(5). 463–474. 9 indexed citations
11.
Maagdenberg, Arn M. J. M. van den, Daniela Pietrobon, Tommaso Pizzorusso, et al.. (2004). A Cacna1a Knockin Migraine Mouse Model with Increased Susceptibility to Cortical Spreading Depression. Neuron. 41(5). 701–710. 517 indexed citations breakdown →
12.
Tottene, Angelita, Tommaso Fellin, Siro Luvisetto, et al.. (2002). Familial hemiplegic migraine mutations increase Ca 2+ influx through single human Ca V 2.1 channels and decrease maximal Ca V 2.1 current density in neurons. Proceedings of the National Academy of Sciences. 99(20). 13284–13289. 204 indexed citations
13.
Pietrobon, Daniela. (2002). Calcium Channels and Channelopathies of the Central Nervous System. Molecular Neurobiology. 25(1). 31–50. 148 indexed citations
14.
Luvisetto, Siro, et al.. (1990). On the nature of the uncoupling effect of fatty acids. Journal of Bioenergetics and Biomembranes. 22(5). 635–643. 14 indexed citations
15.
Pietrobon, Daniela & S. Roy Caplan. (1989). [20] Use of nonequilibrium thermodynamics in the analysis of transport: General flow-force relationships and the linear domain. Methods in enzymology on CD-ROM/Methods in enzymology. 171. 397–444. 5 indexed citations
16.
Hess, Peter, Blaise Prod'hom, & Daniela Pietrobon. (1989). Mechanisms of Interaction of Permeant Ions and Protons with Dihydropyridine‐Sensitive Calcium Channelsa. Annals of the New York Academy of Sciences. 560(1). 80–93. 13 indexed citations
17.
Pietrobon, Daniela, Blaise Prod'hom, & Philip E. Hess. (1989). Interactions of protons with single open L-type calcium channels. pH dependence of proton-induced current fluctuations with Cs+, K+, and Na+ as permeant ions.. The Journal of General Physiology. 94(1). 1–21. 86 indexed citations
18.
Petronilli, Valeria, Giovanni Azzone, & Daniela Pietrobon. (1988). Analysis of mechanisms of free-energy coupling and uncoupling by inhibitor titrations: Theory, computer modeling and experiments. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 932(3). 306–324. 17 indexed citations
19.
Pietrobon, Daniela, Siro Luvisetto, & Giovanni Azzone. (1987). Uncoupling of oxidative phosphorylation. 2. Alternative mechanisms: intrinsic uncoupling or decoupling. Biochemistry. 26(23). 7339–7347. 49 indexed citations
20.
Zoratti, Mario, Daniela Pietrobon, & Giovanni Azzone. (1982). On the Relationship between Rate of ATP Synthesis and H+ Electrochemical Gradient in Rat‐Liver Mitochondria. European Journal of Biochemistry. 126(3). 443–451. 84 indexed citations

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.

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