Sergio Barbieri

7.4k total citations
134 papers, 5.2k citations indexed

About

Sergio Barbieri is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sergio Barbieri has authored 134 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Neurology, 35 papers in Cellular and Molecular Neuroscience and 29 papers in Neurology. Recurrent topics in Sergio Barbieri's work include Neurological disorders and treatments (41 papers), Parkinson's Disease Mechanisms and Treatments (31 papers) and Transcranial Magnetic Stimulation Studies (29 papers). Sergio Barbieri is often cited by papers focused on Neurological disorders and treatments (41 papers), Parkinson's Disease Mechanisms and Treatments (31 papers) and Transcranial Magnetic Stimulation Studies (29 papers). Sergio Barbieri collaborates with scholars based in Italy, United States and France. Sergio Barbieri's co-authors include Alberto Priori, Sara Marceglia, Filippo Cogiamanian, Gianluca Ardolino, Maurizio Vergari, Eduardo Nobile‐Orazio, Roberta Ferrucci, G. Scarlato, Simona Mrakic‐Sposta and B. Bossi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

Sergio Barbieri

129 papers receiving 5.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sergio Barbieri 2.6k 1.9k 1.9k 1.5k 465 134 5.2k
Reiner Benecke 2.7k 1.0× 2.3k 1.2× 1.3k 0.7× 1.3k 0.9× 509 1.1× 101 5.5k
Antonella Conte 2.5k 1.0× 2.0k 1.0× 965 0.5× 1.2k 0.8× 422 0.9× 210 4.8k
Roberto Cantello 2.3k 0.9× 1.9k 1.0× 820 0.4× 1.3k 0.8× 904 1.9× 199 5.4k
Peter Fuhr 2.4k 0.9× 1.7k 0.9× 1.5k 0.8× 2.0k 1.3× 1.3k 2.7× 161 6.5k
Pietro Tonali 2.7k 1.1× 1.5k 0.8× 2.2k 1.1× 1.5k 1.0× 407 0.9× 162 7.6k
Rivka Inzelberg 2.3k 0.9× 1.0k 0.5× 840 0.4× 994 0.7× 537 1.2× 110 4.4k
Pablo Mir 3.0k 1.2× 1.0k 0.5× 1.2k 0.6× 654 0.4× 391 0.8× 162 4.3k
Roberto Mutani 2.4k 0.9× 1.1k 0.6× 1.2k 0.6× 1.1k 0.7× 837 1.8× 147 6.4k
Johannes D. Speelman 6.6k 2.6× 768 0.4× 2.5k 1.3× 1.3k 0.9× 942 2.0× 105 7.7k
Lo J. Bour 2.0k 0.8× 551 0.3× 1.1k 0.6× 1.2k 0.8× 589 1.3× 111 3.9k

Countries citing papers authored by Sergio Barbieri

Since Specialization
Citations

This map shows the geographic impact of Sergio Barbieri'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 Sergio Barbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Barbieri more than expected).

Fields of papers citing papers by Sergio Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergio Barbieri. 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 Sergio Barbieri. The network helps show where Sergio Barbieri may publish in the future.

Co-authorship network of co-authors of Sergio Barbieri

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Barbieri. A scholar is included among the top collaborators of Sergio Barbieri 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 Sergio Barbieri. Sergio Barbieri 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.
Mameli, Francesca, Fabiana Ruggiero, Filippo Cogiamanian, et al.. (2025). Triple perspective: assessing deep brain stimulation outcomes in Parkinson's disease. BMC Neurology. 25(1). 426–426.
2.
Aiello, Edoardo Nicolò, Fabiana Ruggiero, Francesca Mameli, et al.. (2024). Beyond pain: the influence of psychological factors on functional status in fibromyalgia. Clinical and Experimental Rheumatology. 42(6). 1224–1229. 1 indexed citations
3.
Vergari, Maurizio, Matteo Guidetti, Tommaso Bocci, et al.. (2024). ‘Knock down the brain’: a nonlinear analysis of electroencephalography to study the effects of sub‐concussion in boxers. European Journal of Neurology. 32(1). e16411–e16411. 1 indexed citations
4.
Ruggiero, Fabiana, et al.. (2024). How the COVID-19 pandemic reshaped telepsychology: Insights from an Italian survey. Internet Interventions. 38. 100764–100764.
5.
Ruggiero, Fabiana, Roberta Ferrucci, Filippo Cogiamanian, et al.. (2024). The Protective Role of Cognitive Reserve: A Preliminary Study on Parkinsonian Patients Undergoing Deep Brain Stimulation. Journal of Clinical Medicine. 13(15). 4578–4578.
6.
Monfrini, Edoardo, Linda Borellini, Eleonora Mauri, et al.. (2023). GABRB1‐related early onset developmental and epileptic encephalopathy: Clinical trajectory and novel de novo mutation. Epileptic Disorders. 25(6). 867–873. 5 indexed citations
7.
Ruggiero, Fabiana, Tiziana Carandini, Giorgio Fumagalli, et al.. (2023). Telemedicine for cognitive impairment: a telephone survey of patients’ experiences with neurological video consultation. Neurological Sciences. 44(11). 3885–3894. 6 indexed citations
8.
Poletti, Barbara, Edoardo Nicolò Aiello, Federica Solca, et al.. (2023). Single task-level, 2SD-based cutoffs for the Italian version of the Edinburgh Cognitive and Behavioral ALS screen (ECAS). Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 24(7-8). 709–712. 2 indexed citations
9.
Mameli, Francesca, Edoardo Nicolò Aiello, Barbara Poletti, et al.. (2023). Role of expectations in clinical outcomes after deep brain stimulation in patients with Parkinson’s disease: a systematic review. Journal of Neurology. 270(11). 5274–5287. 9 indexed citations
10.
11.
Manfredi, Claudia, et al.. (2023). Machine Learning Assessment of Spasmodic Dysphonia Based on Acoustical and Perceptual Parameters. Bioengineering. 10(4). 426–426. 5 indexed citations
12.
Aiello, Edoardo Nicolò, Federica Solca, Eleonora Colombo, et al.. (2023). Clinical usability of the Story-Based Empathy Task (SET) in non-demented ALS patients. Neurological Sciences. 44(9). 3181–3187. 1 indexed citations
13.
Ruggiero, Fabiana, et al.. (2022). The Impact of Telemedicine on Parkinson’s Care during the COVID-19 Pandemic: An Italian Online Survey. Healthcare. 10(6). 1065–1065. 5 indexed citations
14.
Marceglia, Sara, Manuela Rosa, Domenico Servello, et al.. (2017). Adaptive Deep Brain Stimulation (aDBS) for Tourette Syndrome. Brain Sciences. 8(1). 4–4. 24 indexed citations
15.
Dilena, Robertino, Pasquale Striano, Elena Di Gennaro, et al.. (2016). Efficacy of sodium channel blockers in SCN2A early infantile epileptic encephalopathy. Brain and Development. 39(4). 345–348. 53 indexed citations
16.
Ferrucci, Roberta, Marco Bortolomasi, Maurizio Vergari, et al.. (2009). Transcranial direct current stimulation in severe, drug-resistant major depression. Journal of Affective Disorders. 118(1-3). 215–219. 174 indexed citations
17.
Pesenti, Alessandra, Alberto Priori, Marco Locatelli, et al.. (2003). Subthalamic somatosensory evoked potentials in Parkinson's disease. Movement Disorders. 18(11). 1341–1345. 25 indexed citations
18.
19.
Gallanti, A., A. Prelle, Sergio Barbieri, et al.. (1992). Congenital Myopathy with Type 2A Muscle Fiber Uniformity and Smallness. Neuropediatrics. 23(1). 10–13. 3 indexed citations
20.
Nobile‐Orazio, Eduardo, Erik Francomano, Rita Daverio, et al.. (1989). Anti–myelin‐associated glycoprotein IgM antibody titers in neuropathy associated with macroglobulinemia. Annals of Neurology. 26(4). 543–550. 70 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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