Roberto Di Maio

2.7k total citations · 2 hit papers
35 papers, 1.8k citations indexed

About

Roberto Di Maio is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Roberto Di Maio has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 11 papers in Neurology. Recurrent topics in Roberto Di Maio's work include Neuroscience and Neuropharmacology Research (12 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Ion channel regulation and function (6 papers). Roberto Di Maio is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Ion channel regulation and function (6 papers). Roberto Di Maio collaborates with scholars based in United States, Italy and United Kingdom. Roberto Di Maio's co-authors include J. Timothy Greenamyre, Edward A. Burton, Teresa G. Hastings, Xiao Hu, Alevtina Zharikov, Eric K. Hoffman, Charleen T. Chu, Anupom Borah, Paul J. Barrett and Jennifer L. McCoy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physiology.

In The Last Decade

Roberto Di Maio

35 papers receiving 1.8k citations

Hit Papers

α-Synuclein binds to TOM20 and inhibits mitochondrial pro... 2016 2026 2019 2022 2016 2018 100 200 300 400

Peers

Roberto Di Maio
Roberto Di Maio
Citations per year, relative to Roberto Di Maio Roberto Di Maio (= 1×) peers Shawn Hayley

Countries citing papers authored by Roberto Di Maio

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Di Maio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Di Maio. 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 Roberto Di Maio. The network helps show where Roberto Di Maio may publish in the future.

Co-authorship network of co-authors of Roberto Di Maio

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Di Maio. A scholar is included among the top collaborators of Roberto Di Maio 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 Roberto Di Maio. Roberto Di Maio 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.
D’Aiuto, Leonardo, Terri G. Edwards, Chaoming Zhou, et al.. (2025). Phosphorylated-tau associates with HSV-1 chromatin and correlates with nuclear speckles decondensation in low-density host chromatin regions. Neurobiology of Disease. 206. 106804–106804. 3 indexed citations
2.
Keeney, Matthew T., Emily M. Rocha, Eric K. Hoffman, et al.. (2024). LRRK2 regulates production of reactive oxygen species in cell and animal models of Parkinson’s disease. Science Translational Medicine. 16(767). eadl3438–eadl3438. 13 indexed citations
3.
Maio, Roberto Di, Matthew T. Keeney, Amanda Mortimer, et al.. (2023). Neuroprotective actions of a fatty acid nitroalkene in Parkinson’s disease. npj Parkinson s Disease. 9(1). 55–55. 8 indexed citations
4.
Keeney, Matthew T., Eric K. Hoffman, Kyle Farmer, et al.. (2022). NADPH oxidase 2 activity in Parkinson's disease. Neurobiology of Disease. 170. 105754–105754. 31 indexed citations
5.
Keeney, Matthew T., et al.. (2021). Measurement of LRRK2 Kinase Activity by Proximity Ligation Assay. BIO-PROTOCOL. 11(17). e4140–e4140. 7 indexed citations
6.
Laar, Victor S. Van, Jianming Chen, Alevtina Zharikov, et al.. (2020). α-Synuclein amplifies cytoplasmic peroxide flux and oxidative stress provoked by mitochondrial inhibitors in CNS dopaminergic neurons in vivo. Redox Biology. 37. 101695–101695. 37 indexed citations
7.
Maio, Roberto Di, Roberto Colangeli, & Giuseppe Di Giovanni. (2019). WIN 55,212-2 Reverted Pilocarpine-Induced Status Epilepticus Early Changes of the Interaction among 5-HT2C/NMDA/CB1 Receptors in the Rat Hippocampus. ACS Chemical Neuroscience. 10(7). 3296–3306. 18 indexed citations
8.
Colangeli, Roberto, Roberto Di Maio, Massimo Pierucci, et al.. (2019). Synergistic action of CB1 and 5-HT2B receptors in preventing pilocarpine-induced status epilepticus in rats. Neurobiology of Disease. 125. 135–145. 22 indexed citations
9.
Rocha, Emily M., Briana R. De Miranda, Sandra L. Castro, et al.. (2019). LRRK2 inhibition prevents endolysosomal deficits seen in human Parkinson's disease. Neurobiology of Disease. 134. 104626–104626. 61 indexed citations
10.
Bombardi, Cristiano, et al.. (2018). Preferential modulation of the lateral habenula activity by serotonin‐2A rather than ‐2C receptors: Electrophysiological and neuroanatomical evidence. CNS Neuroscience & Therapeutics. 24(8). 721–733. 17 indexed citations
11.
Maio, Roberto Di, Eric K. Hoffman, Emily M. Rocha, et al.. (2018). LRRK2 activation in idiopathic Parkinson’s disease. Science Translational Medicine. 10(451). 385 indexed citations breakdown →
12.
Samarasinghe, Ranmal A., et al.. (2014). Transient muscarinic and glutamatergic stimulation of neural stem cells triggers acute and persistent changes in differentiation. Neurobiology of Disease. 70. 252–261. 9 indexed citations
13.
Lee, Jang-Won, Vı́ctor Tapias, Roberto Di Maio, J. Timothy Greenamyre, & Jason R. Cannon. (2014). Behavioral, neurochemical, and pathologic alterations in bacterial artificial chromosome transgenic G2019S leucine-rich repeated kinase 2 rats. Neurobiology of Aging. 36(1). 505–518. 39 indexed citations
14.
Maio, Roberto Di. (2014). Neuronal mechanisms of epileptogenesis. Frontiers in Cellular Neuroscience. 8. 29–29. 18 indexed citations
15.
Mullett, Steven J., Roberto Di Maio, J. Timothy Greenamyre, & David A. Hinkle. (2012). DJ-1 Expression Modulates Astrocyte-Mediated Protection Against Neuronal Oxidative Stress. Journal of Molecular Neuroscience. 49(3). 507–511. 55 indexed citations
16.
Horowitz, Maxx P., Chiara Milanese, Roberto Di Maio, et al.. (2011). Single-Cell Redox Imaging Demonstrates a Distinctive Response of Dopaminergic Neurons to Oxidative Insults. Antioxidants and Redox Signaling. 15(4). 855–871. 60 indexed citations
17.
Maio, Roberto Di, Pier G. Mastroberardino, Xiao Hu, Laura Montero, & J. Timothy Greenamyre. (2011). Pilocapine alters NMDA receptor expression and function in hippocampal neurons: NADPH oxidase and ERK1/2 mechanisms. Neurobiology of Disease. 42(3). 482–495. 83 indexed citations
18.
D’Aiuto, Leonardo, Roberto Di Maio, K. Naga Mohan, et al.. (2011). Mouse ES cells overexpressing DNMT1 produce abnormal neurons with upregulated NMDA/NR1 subunit. Differentiation. 82(1). 9–17. 17 indexed citations
19.
Maio, Roberto Di, et al.. (2004). Lessons Learned in Designing and Evaluating Railway Control Systems. 355–355. 1 indexed citations
20.
Ferraro, Giuseppe, Pierangelo Sardo, Giuseppe Di Giovanni, Roberto Di Maio, & V La Grutta. (2003). CCK–nitric oxide interaction in rat cortex, striatum and pallidum. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 135(4). 425–433. 1 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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