Sasha D’Ambrosio

876 total citations
18 papers, 306 citations indexed

About

Sasha D’Ambrosio is a scholar working on Cognitive Neuroscience, Neurology and Neurology. According to data from OpenAlex, Sasha D’Ambrosio has authored 18 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Neurology and 3 papers in Neurology. Recurrent topics in Sasha D’Ambrosio's work include Transcranial Magnetic Stimulation Studies (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Functional Brain Connectivity Studies (4 papers). Sasha D’Ambrosio is often cited by papers focused on Transcranial Magnetic Stimulation Studies (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Functional Brain Connectivity Studies (4 papers). Sasha D’Ambrosio collaborates with scholars based in Italy, United Kingdom and United States. Sasha D’Ambrosio's co-authors include Simone Sarasso, Marcello Massimini, Matteo Fecchio, Silvia Casarotto, Mario Rosanova, Andrea Pigorini, Simone Russo, Sergio Garbarino, Angela Comanducci and Giuseppe Varone and has published in prestigious journals such as Brain, JNCI Journal of the National Cancer Institute and European Journal of Cancer.

In The Last Decade

Sasha D’Ambrosio

11 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sasha D’Ambrosio Italy 8 229 167 33 30 29 18 306
Lynton Graetz Australia 10 197 0.9× 127 0.8× 45 1.4× 12 0.4× 65 2.2× 18 338
Viet Ton That United States 4 167 0.7× 220 1.3× 33 1.0× 11 0.4× 40 1.4× 7 302
Paula Davila-Pérez Spain 8 208 0.9× 164 1.0× 63 1.9× 11 0.4× 54 1.9× 13 356
Stefan Schoisswohl Germany 9 167 0.7× 204 1.2× 15 0.5× 17 0.6× 16 0.6× 37 296
Daniela Mannarelli Italy 12 190 0.8× 127 0.8× 28 0.8× 31 1.0× 80 2.8× 23 348
Chiara Cobelli Italy 9 194 0.8× 237 1.4× 40 1.2× 21 0.7× 104 3.6× 13 361
Jakub Antczak Poland 9 110 0.5× 80 0.5× 21 0.6× 41 1.4× 67 2.3× 30 219
Saeid Mahmoudian Iran 14 273 1.2× 202 1.2× 23 0.7× 50 1.7× 30 1.0× 52 504
Nigel Gebodh United States 8 135 0.6× 214 1.3× 57 1.7× 7 0.2× 27 0.9× 14 294
Shrey Grover United States 7 257 1.1× 146 0.9× 66 2.0× 26 0.9× 50 1.7× 13 336

Countries citing papers authored by Sasha D’Ambrosio

Since Specialization
Citations

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

Fields of papers citing papers by Sasha D’Ambrosio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sasha D’Ambrosio. 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 Sasha D’Ambrosio. The network helps show where Sasha D’Ambrosio may publish in the future.

Co-authorship network of co-authors of Sasha D’Ambrosio

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

All Works

18 of 18 papers shown
1.
Sarasso, Simone, Sasha D’Ambrosio, Simone Russo, et al.. (2025). Reduction of sleep-like perilesional slow waves and clinical evolution after stroke: A TMS-EEG study. Clinical Neurophysiology. 175. 2110746–2110746.
2.
Mikulan, Ezequiel, Simone Russo, Sasha D’Ambrosio, et al.. (2025). Transcranial magnetic vs intracranial electric stimulation: a direct comparison of their effects via scalp EEG recordings. Brain stimulation. 18(5). 1444–1454.
3.
Maïo, Massimo Di, Sasha D’Ambrosio, Fabiana Napolitano, et al.. (2025). Censoring in trials testing immunotherapy in advanced cancers: a systematic review and a meta-research study. JNCI Journal of the National Cancer Institute. 118(2). 214–222.
4.
Jiménez‐Jiménez, Diego, Fahmida A Chowdhury, Sasha D’Ambrosio, et al.. (2025). TMS-EEG in postictal psychosis of epilepsy. Schizophrenia Research. 282. 176–183.
5.
D’Ambrosio, Sasha, Ahmad Mayeli, Renata del Giudice, et al.. (2025). Sleep Spindle Abnormalities in Preschool Children With Autism Spectrum Disability: Insights From Nap Polysomnography. Autism Research. 18(9). 1764–1774.
6.
D’Ambrosio, Sasha, Luigi Liguori, Roberto Ferrara, et al.. (2024). Blinded independent central review versus local investigator assessment of PFS in RCTs of immunotherapy in advanced cancers: A systematic review and meta-analysis. European Journal of Cancer. 213. 115077–115077. 1 indexed citations
7.
Lanzone, Jacopo, Aı́da Zulueta, Marilisa Boscarino, et al.. (2024). Spectral exponent assessment and neurofilament light chain: a comprehensive approach to describe recovery patterns in stroke. Frontiers in Neurology. 15. 1329044–1329044. 2 indexed citations
8.
9.
D’Ambrosio, Sasha, Diego Jiménez‐Jiménez, Katri Silvennoinen, et al.. (2022). Physiological symmetry of transcranial magnetic stimulation‐evoked EEG spectral features. Human Brain Mapping. 43(18). 5465–5477. 8 indexed citations
10.
Silvennoinen, Katri, Laura Säïsänen, Jelena Hyppönen, et al.. (2022). Short‐ and long‐interval intracortical inhibition in EPM1 is related to genotype. Epilepsia. 64(1). 208–217. 8 indexed citations
11.
Casarotto, Silvia, Matteo Fecchio, Mario Rosanova, et al.. (2022). The rt-TEP tool: real-time visualization of TMS-Evoked Potentials to maximize cortical activation and minimize artifacts. Journal of Neuroscience Methods. 370. 109486–109486. 70 indexed citations
12.
Russo, Simone, Simone Sarasso, Giuseppina Emma Puglisi, et al.. (2022). TAAC - TMS Adaptable Auditory Control: A universal tool to mask TMS clicks. Journal of Neuroscience Methods. 370. 109491–109491. 63 indexed citations
13.
D’Ambrosio, Sasha, Diego Jiménez‐Jiménez, Katri Silvennoinen, et al.. (2022). The impact of Transcranial Magnetic Stimulation (TMS) on seizure course in people with and without epilepsy. Clinical Neurophysiology Practice. 7. 174–182.
14.
Brown, Katlyn E., Jaime Ibáñez, Vishal Rawji, et al.. (2021). Transcranial Evoked Potentials Can Be Reliably Recorded with Active Electrodes. Brain Sciences. 11(2). 145–145. 37 indexed citations
15.
Lazzaro, Giulia Di, Sasha D’Ambrosio, Katri Silvennoinen, et al.. (2021). Non‐Stationary Outcome of Alternating Hemiplegia of Childhood into Adulthood. Movement Disorders Clinical Practice. 9(2). 206–211. 3 indexed citations
16.
Sarasso, Simone, Sasha D’Ambrosio, Matteo Fecchio, et al.. (2020). Local sleep-like cortical reactivity in the awake brain after focal injury. Brain. 143(12). 3672–3684. 67 indexed citations
17.
D’Ambrosio, Sasha, Anna Castelnovo, Ottavia Guglielmi, et al.. (2019). Sleepiness as a Local Phenomenon. Frontiers in Neuroscience. 13. 1086–1086. 33 indexed citations
18.
Mensen, Armand, Andrea Pigorini, Cornelia Schöne, et al.. (2018). Sleep as a model to understand neuroplasticity and recovery after stroke: Observational, perturbational and interventional approaches. Journal of Neuroscience Methods. 313. 37–43. 14 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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