Marcello Serra

449 total citations
28 papers, 300 citations indexed

About

Marcello Serra is a scholar working on Cellular and Molecular Neuroscience, Neurology and Social Psychology. According to data from OpenAlex, Marcello Serra has authored 28 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 8 papers in Neurology and 6 papers in Social Psychology. Recurrent topics in Marcello Serra's work include Neuroscience and Neuropharmacology Research (9 papers), Neurological disorders and treatments (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Marcello Serra is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Neurological disorders and treatments (7 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Marcello Serra collaborates with scholars based in Italy, United States and France. Marcello Serra's co-authors include Micaela Morelli, Giulia Costa, Nicola Simola, Annalisa Pinna, Maria Antonietta Casu, Alessandro Usiello, Catherine Tran, Robert G. Lewis, Christopher D. Vanderwal and Mohamad Allaw and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Psychopharmacology.

In The Last Decade

Marcello Serra

25 papers receiving 297 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marcello Serra Italy 12 118 77 72 44 33 28 300
Andreza Buzolin Sonego Brazil 9 274 2.3× 50 0.6× 63 0.9× 23 0.5× 17 0.5× 15 730
Fernanda Fiel Peres Brazil 12 245 2.1× 53 0.7× 51 0.7× 34 0.8× 20 0.6× 17 545
М. В. Тендитник Russia 11 124 1.1× 75 1.0× 92 1.3× 56 1.3× 79 2.4× 30 386
Megan Kelton United States 6 126 1.1× 46 0.6× 251 3.5× 54 1.2× 20 0.6× 7 445
Alessia Costa Italy 14 64 0.5× 16 0.2× 300 4.2× 75 1.7× 45 1.4× 26 559
Vitor Silva Pereira Denmark 9 160 1.4× 17 0.2× 54 0.8× 33 0.8× 67 2.0× 12 428
Maedeh Ghasemi Iran 10 108 0.9× 20 0.3× 111 1.5× 32 0.7× 51 1.5× 47 419
Anderson H.F.F. Leão Brazil 13 205 1.7× 194 2.5× 91 1.3× 31 0.7× 38 1.2× 24 528
Turgay Çelik Türkiye 14 254 2.2× 56 0.7× 154 2.1× 60 1.4× 22 0.7× 25 482
Hilary Donovan United States 6 298 2.5× 28 0.4× 196 2.7× 23 0.5× 17 0.5× 8 422

Countries citing papers authored by Marcello Serra

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Serra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcello Serra

This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Serra. A scholar is included among the top collaborators of Marcello Serra 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 Marcello Serra. Marcello Serra 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
2.
Nuzzo, Tommaso, Marcello Serra, Claudia Gentile, et al.. (2025). Deep brain stimulation rescues the homeostasis disruption of circulating D- and L-amino acids level in men with Parkinson's disease. Neurobiology of Disease. 216. 107150–107150.
3.
Allaw, Mohamad, Matteo Perra, Marcello Serra, et al.. (2025). Antioxidant and neuroprotective effects of nutriosomes and grape pomace phytochemicals in a cell model of oxidative stress and mouse model of Parkinson disease. Scientific Reports. 15(1). 11947–11947. 2 indexed citations
4.
Serra, Marcello, Giulia Costa, Emmanuel S. Onaivi, & Nicola Simola. (2024). Divergent Acute and Enduring Changes in 50-kHz Ultrasonic Vocalizations in Rats Repeatedly Treated With Amphetamine and Dopaminergic Antagonists: New Insights on the Role of Dopamine in Calling Behavior. The International Journal of Neuropsychopharmacology. 27(2). 1 indexed citations
6.
Serra, Marcello, Gaia Faustini, Maria Antonietta Casu, et al.. (2024). Early α-synuclein/synapsin III co-accumulation, nigrostriatal dopaminergic synaptopathy and denervation in the MPTPp mouse model of Parkinson's Disease. Experimental Neurology. 383. 115040–115040. 3 indexed citations
7.
Serra, Marcello, Mohamad Allaw, Matteo Perra, et al.. (2024). Extract from Nasco pomace loaded in nutriosomes exerts anti-inflammatory effects in the MPTP mouse model of Parkinson's disease. Experimental Neurology. 382. 114958–114958. 2 indexed citations
8.
Serra, Marcello, Anna Maio, Valentina Bassareo, et al.. (2023). Perturbation of serine enantiomers homeostasis in the striatum of MPTP-lesioned monkeys and mice reflects the extent of dopaminergic midbrain degeneration. Neurobiology of Disease. 184. 106226–106226. 12 indexed citations
9.
Maio, Anna, Tommaso Nuzzo, Luana Gilio, et al.. (2023). Homeostasis of serine enantiomers is disrupted in the post-mortem caudate putamen and cerebrospinal fluid of living Parkinson's disease patients. Neurobiology of Disease. 184. 106203–106203. 19 indexed citations
10.
Costa, Giulia, Marcello Serra, Maria Antonietta Casu, et al.. (2023). Withania somnifera influences MDMA-induced hyperthermic, cognitive, neurotoxic and neuroinflammatory effects in mice. Biomedicine & Pharmacotherapy. 161. 114475–114475. 7 indexed citations
11.
Serra, Marcello, Mohamad Allaw, Matteo Perra, et al.. (2022). Characterization of Nasco grape pomace-loaded nutriosomes and their neuroprotective effects in the MPTP mouse model of Parkinson’s disease. Frontiers in Pharmacology. 13. 935784–935784. 26 indexed citations
12.
Serra, Marcello, et al.. (2022). D2R signaling in striatal spiny neurons modulates L-DOPA induced dyskinesia. iScience. 25(10). 105263–105263. 5 indexed citations
13.
Costa, Giulia, Francesca Felicia Caputi, Marcello Serra, et al.. (2021). Activation of Antioxidant and Proteolytic Pathways in the Nigrostriatal Dopaminergic System After 3,4-Methylenedioxymethamphetamine Administration: Sex-Related Differences. Frontiers in Pharmacology. 12. 713486–713486. 7 indexed citations
15.
Pinna, Annalisa, et al.. (2020). Pharmacological interactions between adenosine A2A receptor antagonists and different neurotransmitter systems. Parkinsonism & Related Disorders. 80. S37–S44. 6 indexed citations
16.
Lewis, Robert G., Marcello Serra, Daniela Radl, et al.. (2020). Dopaminergic Control of Striatal Cholinergic Interneurons Underlies Cocaine-Induced Psychostimulation. Cell Reports. 31(3). 107527–107527. 22 indexed citations
17.
Costa, Giulia, Maria Josè Sisalli, Nicola Simola, et al.. (2020). Gender Differences in Neurodegeneration, Neuroinflammation and Na+-Ca2+ Exchangers in the Female A53T Transgenic Mouse Model of Parkinson’s Disease. Frontiers in Aging Neuroscience. 12. 118–118. 21 indexed citations
20.
Pinna, Annalisa, Marcello Serra, Micaela Morelli, & Nicola Simola. (2018). Role of adenosine A2A receptors in motor control: relevance to Parkinson’s disease and dyskinesia. Journal of Neural Transmission. 125(8). 1273–1286. 31 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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