Sara Marceglia

7.6k total citations · 1 hit paper
130 papers, 4.9k citations indexed

About

Sara Marceglia is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Sara Marceglia has authored 130 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Neurology, 45 papers in Cellular and Molecular Neuroscience and 30 papers in Cognitive Neuroscience. Recurrent topics in Sara Marceglia's work include Neurological disorders and treatments (55 papers), Parkinson's Disease Mechanisms and Treatments (37 papers) and Neuroscience and Neural Engineering (33 papers). Sara Marceglia is often cited by papers focused on Neurological disorders and treatments (55 papers), Parkinson's Disease Mechanisms and Treatments (37 papers) and Neuroscience and Neural Engineering (33 papers). Sara Marceglia collaborates with scholars based in Italy, United States and Spain. Sara Marceglia's co-authors include Alberto Priori, Filippo Cogiamanian, Sergio Barbieri, Simona Mrakic‐Sposta, Guglielmo Foffani, Maurizio Vergari, Roberta Ferrucci, Lorenzo Rossi, Francesca Mameli and Stefano Zago and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Sara Marceglia

127 papers receiving 4.8k citations

Hit Papers

International Standards f... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Marceglia 2.1k 1.9k 1.8k 1.7k 409 130 4.9k
Letizia Leocani 1.2k 0.6× 2.0k 1.1× 1.5k 0.9× 886 0.5× 668 1.6× 241 6.4k
Matthis Synofzik 2.0k 1.0× 1.9k 1.1× 1.2k 0.7× 2.5k 1.4× 206 0.5× 267 7.6k
Bart P.C. van de Warrenburg 3.5k 1.7× 534 0.3× 1.4k 0.8× 3.4k 2.0× 235 0.6× 213 7.3k
Sven Haller 1.4k 0.7× 3.2k 1.7× 623 0.4× 505 0.3× 323 0.8× 204 7.7k
Peter Hagell 3.8k 1.8× 682 0.4× 566 0.3× 2.3k 1.3× 148 0.4× 191 8.5k
Zoltán Mari 1.5k 0.7× 1.8k 1.0× 304 0.2× 620 0.4× 216 0.5× 108 3.7k
Wilfried Lang 1.5k 0.7× 2.8k 1.5× 628 0.4× 411 0.2× 411 1.0× 215 7.0k
Gabriella Santangelo 5.0k 2.4× 2.3k 1.3× 609 0.3× 859 0.5× 129 0.3× 240 8.2k
Saloni Sharma 2.1k 1.0× 689 0.4× 247 0.1× 571 0.3× 244 0.6× 65 3.6k
Douglas C. Smith 528 0.3× 1.5k 0.8× 1.5k 0.8× 882 0.5× 88 0.2× 152 4.6k

Countries citing papers authored by Sara Marceglia

Since Specialization
Citations

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

Fields of papers citing papers by Sara Marceglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Marceglia

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Marceglia. A scholar is included among the top collaborators of Sara Marceglia 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 Sara Marceglia. Sara Marceglia 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.
Marceglia, Sara, Matteo Guidetti, Tommaso Bocci, et al.. (2025). Large Language Models in Neurological Practice: Real-World Study. Journal of Medical Internet Research. 27. e73212–e73212. 2 indexed citations
2.
Alfieri, Salvatore, Sara Marceglia, Stefano Cavalieri, et al.. (2025). Longitudinal assessment of plasma EBV-DNA in non-endemic EBV-related nasopharyngeal cancer (NPC): the LEA study. European Journal of Cancer. 226. 115625–115625.
4.
Mollica, Luigina, et al.. (2024). Digital twins: a new paradigm in oncology in the era of big data. SHILAP Revista de lepidopterología. 5. 100056–100056. 10 indexed citations
5.
Bocci, Tommaso, et al.. (2024). Asymmetries of the subthalamic activity in Parkinson’s disease: phase-amplitude coupling among local field potentials. Brain Communications. 6(3). fcae201–fcae201. 1 indexed citations
6.
Romito, Luigi, Chiara Palmisano, Mattia Arlotti, et al.. (2024). Adaptive vs. Conventional Deep Brain Stimulation: One-Year Subthalamic Recordings and Clinical Monitoring in a Patient with Parkinson’s Disease. Bioengineering. 11(10). 990–990. 5 indexed citations
7.
Aiello, Edoardo Nicolò, Barbara Poletti, Matteo Guidetti, et al.. (2023). Relationship between Reaction Times and Post-COVID-19 Symptoms Assessed by a Web-Based Visual Detection Task. Healthcare. 11(3). 284–284. 8 indexed citations
8.
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
9.
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
10.
Benini, Franca, Danai Papadatou, Finella Craig, et al.. (2022). International Standards for Pediatric Palliative Care: From IMPaCCT to GO-PPaCS. Journal of Pain and Symptom Management. 63(5). e529–e543. 104 indexed citations breakdown →
11.
Marceglia, Sara, Costanza Conti, Guglielmo Foffani, et al.. (2022). Double-blind cross-over pilot trial protocol to evaluate the safety and preliminary efficacy of long-term adaptive deep brain stimulation in patients with Parkinson’s disease. BMJ Open. 12(1). e049955–e049955. 11 indexed citations
12.
Marceglia, Sara, Matteo Guidetti, Irene E. Harmsen, et al.. (2021). Deep brain stimulation: is it time to change gears by closing the loop?. Journal of Neural Engineering. 18(6). 61001–61001. 20 indexed citations
13.
Guidetti, Matteo, Sara Marceglia, Aaron Loh, et al.. (2021). Clinical perspectives of adaptive deep brain stimulation. Brain stimulation. 14(5). 1238–1247. 52 indexed citations
14.
Alfieri, Salvatore, Francesca Platini, Federica Perrone, et al.. (2020). Tumor Biomarkers for the Prediction of Distant Metastasis in Head and Neck Squamous Cell Carcinoma. Cancers. 12(4). 922–922. 12 indexed citations
15.
Demartini, Benedetta, Orsola Gambini, C. Uggetti, et al.. (2019). Limbic neurochemical changes in patients with functional motor symptoms. Neurology. 93(1). e52–e58. 17 indexed citations
16.
Marceglia, Sara, et al.. (2018). Multi-criteria decision analysis for the assessment of non-clinical hospital services: Methodology and case study. Operations Research for Health Care. 23. 100171–100171. 6 indexed citations
17.
Marceglia, Sara, et al.. (2018). DEDICATE: proposal for a conceptual framework to develop dementia-friendly integrated eCare support. BioMedical Engineering OnLine. 17(1). 121–121. 8 indexed citations
18.
Antonaci, Fabio, et al.. (2018). Frontal infrared thermography in healthy individuals and chronic migraine patients: Reliability of the method. Cephalalgia. 39(4). 489–496. 9 indexed citations
19.
Marceglia, Sara, Manuela Rosa, Domenico Servello, et al.. (2017). Adaptive Deep Brain Stimulation (aDBS) for Tourette Syndrome. Brain Sciences. 8(1). 4–4. 24 indexed citations
20.
Marceglia, Sara, et al.. (2016). Advising patients on selecting trustful apps for diabetes self-care. Computers in Biology and Medicine. 71. 86–96. 20 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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