Francesco Marrosu

6.6k total citations
126 papers, 3.7k citations indexed

About

Francesco Marrosu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Francesco Marrosu has authored 126 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Neurology, 44 papers in Cellular and Molecular Neuroscience and 39 papers in Cognitive Neuroscience. Recurrent topics in Francesco Marrosu's work include Parkinson's Disease Mechanisms and Treatments (33 papers), Neuroscience and Neuropharmacology Research (28 papers) and EEG and Brain-Computer Interfaces (15 papers). Francesco Marrosu is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (33 papers), Neuroscience and Neuropharmacology Research (28 papers) and EEG and Brain-Computer Interfaces (15 papers). Francesco Marrosu collaborates with scholars based in Italy, United States and Netherlands. Francesco Marrosu's co-authors include Monica Puligheddu, Paolo Solla, Antonino Cannas, Gian Luigi Gessa, M Giagheddu, Giovanni Biggio, Maria Giovanna Marrosu, Marco Bortolato, Paolo Follesa and Mauro Fà and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Francesco Marrosu

123 papers receiving 3.6k citations

Peers

Francesco Marrosu

NEURO

CMN

NEURO

PMH

Masami Futatsubashi Japan

Monica Puligheddu Italy

Veerle De Herdt Belgium

T.R. Raju India

Tracy Butler United States

Ji Hyun Ko Canada

Nikolaus R. McFarland United States

H. Bratzke Germany

Bernhard Bogerts Germany

Sondra T. Bland United States

Masami Futatsubashi Japan

Francesco Marrosu

994 ×0.7

947 ×0.8

NEURO

1.3k ×1.2

CMN

849 ×1.1

NEURO

546 ×1.0

PMH

Citations per year, relative to Francesco Marrosu Francesco Marrosu (= 1×) peers Masami Futatsubashi

Countries citing papers authored by Francesco Marrosu

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Marrosu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Marrosu

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Marrosu. A scholar is included among the top collaborators of Francesco Marrosu 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 Francesco Marrosu. Francesco Marrosu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Porcu, Michele, et al.. (2025). White matter microstructural changes across the menstrual cycle: a differential tractography study. Neuroradiology. 67(8). 2131–2141.

Muroni, Antonella, Maria Rita Murru, Tommaso Ercoli, et al.. (2021). Geographic differences in the incidence of Huntington’s disease in Sardinia, Italy. Neurological Sciences. 42(12). 5177–5181. 2 indexed citations

Cocco, Cristina, G Corda, Barbara Noli, et al.. (2019). VGF peptides as novel biomarkers in Parkinson’s disease. Cell and Tissue Research. 379(1). 93–107. 21 indexed citations

Solla, Paolo, Lucia Cugusi, M. Bertoli, et al.. (2019). Sardinian Folk Dance for Individuals with Parkinson's Disease: A Randomized Controlled Pilot Trial. The Journal of Alternative and Complementary Medicine. 25(3). 305–316. 86 indexed citations

Brancia, Carla, Barbara Noli, Marina Boido, et al.. (2018). TLQP Peptides in Amyotrophic Lateral Sclerosis: Possible Blood Biomarkers with a Neuroprotective Role. Neuroscience. 380. 152–163. 15 indexed citations

Marotta, Roberto, Giuseppe Talani, Tiziano Catelani, et al.. (2017). Differential effects of phytotherapic preparations in the hSOD1 Drosophila melanogaster model of ALS. Scientific Reports. 7(1). 41059–41059. 19 indexed citations

Solari, Paolo, Patrizia Sacchetti, Antonio Belcari, et al.. (2016). DrosophilaMutant Model of Parkinson’s Disease Revealed an Unexpected Olfactory Performance: Morphofunctional Evidences. Parkinson s Disease. 2016. 1–10. 4 indexed citations

Congiu, Patrizia, María Livia Fantini, Giulia Milioli, et al.. (2016). Specificity and sensitivity of F-waves parameters in diagnosis of RLS/WED. Movement Disorders. 31. 1 indexed citations

Floris, Gianluca, Giuseppe Borghero, Antonino Cannas, et al.. (2014). Constructional apraxia in frontotemporal dementia associated with the C9orf72 mutation: Broadening the clinical and neuropsychological phenotype. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 16(1-2). 8–15. 10 indexed citations

10.

Demuru, Matteo, Eelco van Duinkerken, Matteo Fraschini, et al.. (2014). Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients. NeuroImage Clinical. 5. 69–76. 18 indexed citations

11.

Poddighe, Simone, Krishna Moorthi Bhat, Maria Dolores Setzu, et al.. (2013). Impaired Sense of Smell in a Drosophila Parkinson’s Model. PLoS ONE. 8(8). e73156–e73156. 28 indexed citations

12.

Solla, Paolo, et al.. (2013). Association between fatigue and other motor and non-motor symptoms in Parkinson’s disease patients. Journal of Neurology. 261(2). 382–391. 30 indexed citations

13.

Banni, Sebastiano, Gianfranca Carta, Elisabetta Murru, et al.. (2012). Vagus Nerve Stimulation Reduces Body Weight and Fat Mass in Rats. PLoS ONE. 7(9). e44813–e44813. 42 indexed citations

14.

Devoto, Paola, Roberto Frau, Valentina Bini, et al.. (2011). Inhibition of 5α-reductase in the nucleus accumbens counters sensorimotor gating deficits induced by dopaminergic activation. Psychoneuroendocrinology. 37(10). 1630–1645. 48 indexed citations

15.

Bortolato, Marco, Roberto Frau, Marco Orrù, et al.. (2010). GABAB receptor activation exacerbates spontaneous spike-and-wave discharges in DBA/2J mice. Seizure. 19(4). 226–231. 16 indexed citations

16.

Frau, Roberto, Marco Orrù, Monica Puligheddu, et al.. (2008). Sleep deprivation disrupts prepulse inhibition of the startle reflex: reversal by antipsychotic drugs. The International Journal of Neuropsychopharmacology. 11(7). 947–55. 39 indexed citations

17.

Puligheddu, Monica, et al.. (2003). Epilepsia partialis continua in cat scratch disease. Seizure. 13(3). 191–195. 13 indexed citations

18.

Giagheddu, M, Matteo Piga, Paolo Tacconi, et al.. (2001). Comparison of MRI, EEG, EPs and ECD-SPECT in Wilson's disease. Acta Neurologica Scandinavica. 103(2). 71–81. 30 indexed citations

19.

Marrosu, Francesco, Chiara M. Portas, Maria Stefania Mascia, et al.. (1995). Microdialysis measurement of cortical and hippocampal acetylcholine release during sleep-wake cycle in freely moving cats. Brain Research. 671(2). 329–332. 379 indexed citations

20.

Marrosu, Francesco, et al.. (1990). Neonatal Monosodium Glutamate Abolishes Corticotropin‐Releasing Factor‐Induced Epileptogenic Activity in Rats. Epilepsia. 31(6). 708–712. 3 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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