Marco Prenassi

513 total citations
14 papers, 271 citations indexed

About

Marco Prenassi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Marco Prenassi has authored 14 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Marco Prenassi's work include Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Neuroscience and Neural Engineering (3 papers). Marco Prenassi is often cited by papers focused on Neurological disorders and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Neuroscience and Neural Engineering (3 papers). Marco Prenassi collaborates with scholars based in Italy, United States and France. Marco Prenassi's co-authors include Sara Marceglia, Alberto Priori, Sergio Barbieri, Tommaso Bocci, Filippo Cogiamanian, Mattia Arlotti, Elena Moro, Andrés M. Lozano, Jens Volkmann and Paolo Rampini and has published in prestigious journals such as Neurology, Clinical Neurophysiology and Frontiers in Human Neuroscience.

In The Last Decade

Marco Prenassi

14 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Prenassi Italy 7 223 184 58 32 14 14 271
Mohammed Maarouf Germany 6 249 1.1× 174 0.9× 67 1.2× 41 1.3× 19 1.4× 13 277
Dan Piña‐Fuentes Netherlands 11 295 1.3× 215 1.2× 53 0.9× 45 1.4× 8 0.6× 16 313
Kyle T. Mitchell United States 10 196 0.9× 125 0.7× 42 0.7× 32 1.0× 4 0.3× 21 234
Franz Hell Germany 7 241 1.1× 153 0.8× 77 1.3× 44 1.4× 7 0.5× 9 297
Michael Schuepbach Switzerland 10 315 1.4× 183 1.0× 72 1.2× 41 1.3× 7 0.5× 12 364
Nicolás Phielipp United States 8 217 1.0× 94 0.5× 43 0.7× 53 1.7× 20 1.4× 18 284
Giorgio Tommasi Italy 10 298 1.3× 144 0.8× 52 0.9× 62 1.9× 11 0.8× 10 345
Sanjay Patra United States 8 216 1.0× 143 0.8× 104 1.8× 69 2.2× 6 0.4× 12 279
Marie Laure Welter France 6 283 1.3× 110 0.6× 23 0.4× 64 2.0× 12 0.9× 6 333
Gustavo Polo France 9 313 1.4× 172 0.9× 133 2.3× 45 1.4× 8 0.6× 12 402

Countries citing papers authored by Marco Prenassi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Prenassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Prenassi

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

All Works

14 of 14 papers shown
1.
Ruggiero, Fabiana, Francesca Mameli, Edoardo Nicolò Aiello, et al.. (2024). Can total electrical energy (TEED) after subthalamic DBS alter verbal fluency in Parkinson’s disease patients? A preliminary evidence. CNS Spectrums. 29(5). 412–415. 1 indexed citations
2.
Contardo, Luca, et al.. (2022). Artificial intelligence to support early diagnosis of temporomandibular disorders: A preliminary case study. Journal of Oral Rehabilitation. 50(1). 31–38. 13 indexed citations
3.
Prenassi, Marco, et al.. (2022). Dominant and Nondominant Leg Kinematics During Kicking in Young Soccer Players: A Cross-Sectional Study. Motor Control. 27(2). 327–337. 2 indexed citations
4.
Prenassi, Marco, Linda Borellini, Tommaso Bocci, et al.. (2022). Peri-lead edema and local field potential correlation in post-surgery subthalamic nucleus deep brain stimulation patients. Frontiers in Human Neuroscience. 16. 950434–950434. 5 indexed citations
5.
Mameli, Francesca, Fabiana Ruggiero, Michelangelo Dini, et al.. (2022). Energy Delivered by Subthalamic Deep Brain Stimulation for Parkinson Disease Correlates With Depressive Personality Trait Shift. Neuromodulation Technology at the Neural Interface. 26(2). 394–402. 7 indexed citations
6.
Marceglia, Sara, Marco Prenassi, Mauro Porta, et al.. (2021). Thalamic Local Field Potentials Are Related to Long-Term DBS Effects in Tourette Syndrome. Frontiers in Neurology. 12. 578324–578324. 12 indexed citations
7.
Bocci, Tommaso, Marco Prenassi, Mattia Arlotti, et al.. (2021). Eight-hours conventional versus adaptive deep brain stimulation of the subthalamic nucleus in Parkinson’s disease. npj Parkinson s Disease. 7(1). 88–88. 35 indexed citations
8.
Prenassi, Marco, Mattia Arlotti, Linda Borellini, et al.. (2021). The Relationship Between Electrical Energy Delivered by Deep Brain Stimulation and Levodopa-Induced Dyskinesias in Parkinson's Disease: A Retrospective Preliminary Analysis. Frontiers in Neurology. 12. 643841–643841. 8 indexed citations
9.
Derchi, Giacomo, et al.. (2020). Application of IBM Watson to Support Literature Reviews: A Preliminary Experience in Restorative Dentistry. Studies in health technology and informatics. 270. 1201–1202. 1 indexed citations
10.
Prenassi, Marco, Lorenzo Rossi, Roberta Ferrucci, et al.. (2019). Personally Collected Health Data for Precision Medicine and Longitudinal Research. Frontiers in Medicine. 6. 125–125. 7 indexed citations
11.
Bocci, Tommaso, Mattia Arlotti, Sara Marceglia, et al.. (2018). Adaptive Deep Brain Stimulation for Parkinson’s disease: Safety and effectiveness. Clinical Neurophysiology. 130(1). e17–e17. 3 indexed citations
12.
Arlotti, Mattia, Sara Marceglia, Guglielmo Foffani, et al.. (2018). Eight-hours adaptive deep brain stimulation in patients with Parkinson disease. Neurology. 90(11). e971–e976. 168 indexed citations
13.
Marceglia, Sara, et al.. (2017). Point of Care Research: Integrating patient-generated data into electronic health records for clinical trials.. PubMed. 2017. 1262–1271. 6 indexed citations
14.
Prenassi, Marco, Lorenzo Rossi, & Sara Marceglia. (2017). Assessing the feasibility of using a commercially available bracelet to detect motor symptoms for home telemonitoring in patients with Parkinson’s disease. International Journal of Integrated Care. 17(5). 584–584. 3 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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