Stefano Lai

670 total citations
13 papers, 438 citations indexed

About

Stefano Lai is a scholar working on Rehabilitation, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stefano Lai has authored 13 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rehabilitation, 6 papers in Cognitive Neuroscience and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stefano Lai's work include Stroke Rehabilitation and Recovery (6 papers), Transcranial Magnetic Stimulation Studies (5 papers) and Neuroscience and Neural Engineering (4 papers). Stefano Lai is often cited by papers focused on Stroke Rehabilitation and Recovery (6 papers), Transcranial Magnetic Stimulation Studies (5 papers) and Neuroscience and Neural Engineering (4 papers). Stefano Lai collaborates with scholars based in Italy, Switzerland and Spain. Stefano Lai's co-authors include Silvestro Micera, Matteo Caleo, Cristina Spalletti, Alessandro Panarese, Claudia Alia, Carmelo Chisari, Angelo Di Garbo, Fabio Vallone, Federica Bertolucci and Giuseppe Lamola and has published in prestigious journals such as PLoS ONE, Scientific Reports and Progress in Neurobiology.

In The Last Decade

Stefano Lai

13 papers receiving 433 citations

Peers

Stefano Lai
Zheng Ke Hong Kong
Scott D. Bury United States
Mélanie Kaeser Switzerland
Stefano Lai
Citations per year, relative to Stefano Lai Stefano Lai (= 1×) peers Claudia Alia

Countries citing papers authored by Stefano Lai

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Lai

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

All Works

13 of 13 papers shown
1.
2.
James, Nicholas D., Newton Cho, Stefano Lai, et al.. (2022). Preclinical upper limb neurorobotic platform to assess, rehabilitate, and develop therapies. Science Robotics. 7(64). eabk2378–eabk2378. 12 indexed citations
3.
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
4.
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
5.
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
6.
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
7.
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
8.
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
9.
Lai, Stefano, et al.. (2016). A Murine Model of Robotic Training to Evaluate Skeletal Muscle Recovery after Injury. Medicine & Science in Sports & Exercise. 49(4). 840–847. 2 indexed citations
10.
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
11.
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
12.
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
13.
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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