Cristina Spalletti

890 total citations
19 papers, 557 citations indexed

About

Cristina Spalletti is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Cristina Spalletti has authored 19 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 5 papers in Neurology. Recurrent topics in Cristina Spalletti's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (4 papers). Cristina Spalletti is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (4 papers). Cristina Spalletti collaborates with scholars based in Italy, Switzerland and France. Cristina Spalletti's co-authors include Matteo Caleo, Claudia Alia, Silvestro Micera, Stefano Lai, Alessandro Panarese, Carmelo Chisari, Fabio Vallone, Angelo Di Garbo, Giuseppe Lamola and Federica Bertolucci and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Cristina Spalletti

17 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristina Spalletti Italy 12 206 200 170 135 71 19 557
Claudia Alia Italy 11 201 1.0× 196 1.0× 171 1.0× 138 1.0× 64 0.9× 16 518
Anna-Sophia Wahl Switzerland 11 256 1.2× 301 1.5× 117 0.7× 141 1.0× 120 1.7× 20 686
Richard Jimenez United States 4 217 1.1× 178 0.9× 156 0.9× 60 0.4× 71 1.0× 5 509
Stefano Lai Italy 9 179 0.9× 157 0.8× 158 0.9× 141 1.0× 27 0.4× 13 438
S. Macisaac Canada 5 345 1.7× 321 1.6× 171 1.0× 120 0.9× 140 2.0× 8 738
Zheng Ke Hong Kong 8 121 0.6× 118 0.6× 93 0.5× 97 0.7× 33 0.5× 12 394
Nagheme Thomas United States 10 267 1.3× 327 1.6× 338 2.0× 77 0.6× 104 1.5× 24 868
Irmgard Buchkremer-Ratzmann Germany 7 204 1.0× 230 1.1× 166 1.0× 62 0.5× 80 1.1× 8 489
Corey Flynn Canada 10 146 0.7× 242 1.2× 135 0.8× 48 0.4× 128 1.8× 11 480
Hyoung-Ihl Kim South Korea 15 237 1.2× 252 1.3× 155 0.9× 34 0.3× 92 1.3× 48 730

Countries citing papers authored by Cristina Spalletti

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Spalletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Spalletti

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

All Works

19 of 19 papers shown
1.
Macchi, Francesca, Alessandra Martello, Simona Capsoni, et al.. (2025). Parkinsonism disrupts cortical function by dysregulating oscillatory, network and synaptic activity of parvalbumin positive interneurons. npj Parkinson s Disease. 11(1). 194–194.
2.
Spalletti, Cristina, Marco Mainardi, Elena Parmigiani, et al.. (2025). Inhibitory circuit dysfunction as a potential contributor to cortical reorganization in Glioblastoma progression. Neurobiology of Disease. 213. 106997–106997.
3.
Ailuno, Giorgia, Sara Baldassari, Giuliana Drava, et al.. (2023). Development and validation of a GC-MS method for determination of metformin in normal brain and in glioblastoma tissues. Journal of Pharmaceutical and Biomedical Analysis. 234. 115503–115503. 5 indexed citations
4.
Conti, Sara, Cristina Spalletti, Noemi Barsotti, et al.. (2021). Combining robotics with enhanced serotonin-driven cortical plasticity improves post-stroke motor recovery. Progress in Neurobiology. 203. 102073–102073. 4 indexed citations
5.
Alia, Claudia, et al.. (2021). Cell-to-Cell Interactions Mediating Functional Recovery after Stroke. Cells. 10(11). 3050–3050. 14 indexed citations
6.
7.
Vannini, Eleonora, Chiara Cerri, Cristina Spalletti, et al.. (2020). Differential roles of pyramidal and fast-spiking, GABAergic neurons in the control of glioma cell proliferation. Neurobiology of Disease. 141. 104942–104942. 37 indexed citations
8.
Mascaro, Anna Letizia Allegra, Stefano Lai, Cristina Spalletti, et al.. (2019). Combined Rehabilitation Promotes the Recovery of Structural and Functional Features of Healthy Neuronal Networks after Stroke. Cell Reports. 28(13). 3474–3485.e6. 47 indexed citations
9.
Agrimi, Jacopo, Cristina Spalletti, Gizem Keceli, et al.. (2019). Obese mice exposed to psychosocial stress display cardiac and hippocampal dysfunction associated with local brain-derived neurotrophic factor depletion. EBioMedicine. 47. 384–401. 56 indexed citations
10.
Lai, Stefano, Cristina Spalletti, Sara Conti, et al.. (2018). A Robotic System for Adaptive Training and Function Assessment of Forelimb Retraction in Mice. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(9). 1803–1812. 9 indexed citations
11.
12.
Alia, Claudia, Cristina Spalletti, Stefano Lai, et al.. (2017). Neuroplastic Changes Following Brain Ischemia and their Contribution to Stroke Recovery: Novel Approaches in Neurorehabilitation. Frontiers in Cellular Neuroscience. 11. 76–76. 168 indexed citations
13.
Allegra, Manuela, Cristina Spalletti, Beatrice Vignoli, et al.. (2017). Pharmacological rescue of adult hippocampal neurogenesis in a mouse model of X-linked intellectual disability. Neurobiology of Disease. 100. 75–86. 14 indexed citations
14.
Spalletti, Cristina, Claudia Alia, Stefano Lai, et al.. (2017). Combining robotic training and inactivation of the healthy hemisphere restores pre-stroke motor patterns in mice. eLife. 6. 37 indexed citations
15.
Vallone, Fabio, Stefano Lai, Cristina Spalletti, et al.. (2016). Post-Stroke Longitudinal Alterations of Inter-Hemispheric Correlation and Hemispheric Dominance in Mouse Pre-Motor Cortex. PLoS ONE. 11(1). e0146858–e0146858. 17 indexed citations
16.
Alia, Claudia, Cristina Spalletti, Stefano Lai, et al.. (2016). Reducing GABAA-mediated inhibition improves forelimb motor function after focal cortical stroke in mice. Scientific Reports. 6(1). 37823–37823. 60 indexed citations
17.
Mascaro, Anna Letizia Allegra, Cristina Spalletti, Stefano Lai, et al.. (2016). Multi-level imaging of brain plasticity after stroke. 35. BTh3D.3–BTh3D.3. 1 indexed citations
18.
Lai, Stefano, Alessandro Panarese, Cristina Spalletti, et al.. (2014). Quantitative Kinematic Characterization of Reaching Impairments in Mice After a Stroke. Neurorehabilitation and neural repair. 29(4). 382–392. 43 indexed citations
19.
Spalletti, Cristina, Stefano Lai, Marco Mainardi, et al.. (2013). A Robotic System for Quantitative Assessment and Poststroke Training of Forelimb Retraction in Mice. Neurorehabilitation and neural repair. 28(2). 188–196. 32 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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