Serena Ruggieri

4.3k total citations
75 papers, 1.6k citations indexed

About

Serena Ruggieri is a scholar working on Pathology and Forensic Medicine, Immunology and Neurology. According to data from OpenAlex, Serena Ruggieri has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Pathology and Forensic Medicine, 18 papers in Immunology and 15 papers in Neurology. Recurrent topics in Serena Ruggieri's work include Multiple Sclerosis Research Studies (56 papers), Peripheral Neuropathies and Disorders (10 papers) and T-cell and B-cell Immunology (9 papers). Serena Ruggieri is often cited by papers focused on Multiple Sclerosis Research Studies (56 papers), Peripheral Neuropathies and Disorders (10 papers) and T-cell and B-cell Immunology (9 papers). Serena Ruggieri collaborates with scholars based in Italy, Lebanon and United Kingdom. Serena Ruggieri's co-authors include Claudio Gasperini, Carla Tortorella, Carlo Pozzilli, Shalom Haggiag, Luca Prosperini, Luca Battistini, Laura De Giglio, Diego Centonze, Giovanna Borsellino and Nikolaos Petsas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Serena Ruggieri

69 papers receiving 1.5k citations

Peers

Serena Ruggieri
Carlo Avolio Italy
Stig Wergeland Norway
Davide Maimone Italy
Yang Mao‐Draayer United States
María Célica Ysrraelit Argentina
Sharmilee Gnanapavan United Kingdom
Bernadette Kálmán United States
Simon Faissner Germany
Halina Bartosik-Psujek Poland
Luigi Grimaldi Italy
Carlo Avolio Italy
Serena Ruggieri
Citations per year, relative to Serena Ruggieri Serena Ruggieri (= 1×) peers Carlo Avolio

Countries citing papers authored by Serena Ruggieri

Since Specialization
Citations

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

Fields of papers citing papers by Serena Ruggieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Ruggieri

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Ruggieri. A scholar is included among the top collaborators of Serena Ruggieri 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 Serena Ruggieri. Serena Ruggieri 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.
Piervincenzi, Claudia, et al.. (2025). Sex-Related Differences in Lifestyle Factors Affecting Multiple Sclerosis Susceptibility and Disease Progression. Brain Sciences. 15(10). 1097–1097.
2.
Pozzilli, Valeria, Antonio Carotenuto, Marcello Moccia, et al.. (2025). Comparative effectiveness, safety and persistence of ocrelizumab versus natalizumab in multiple sclerosis: A real-world, multi-center, propensity score-matched study. Neurotherapeutics. 22(2). e00537–e00537. 1 indexed citations
3.
Capone, Fioravante, Shalom Haggiag, Luca Prosperini, et al.. (2024). Cortical plasticity in AQP4-positive NMOSD: a transcranial magnetic stimulation study. Cerebral Cortex. 34(8). 1 indexed citations
4.
5.
Petracca, Maria, Nikolaos Petsas, C. Livi, et al.. (2024). Telerehabilitation and onsite rehabilitation effectively improve quality of life, fatigue, balance, and cognition in people with multiple sclerosis: an interventional study. Frontiers in Neurology. 15. 1394867–1394867. 8 indexed citations
6.
Ianniello, Antonio, et al.. (2023). Should we treat pediatric radiologically isolated syndrome? An 18-year follow-up case report. Frontiers in Neurology. 14. 1145260–1145260.
7.
Piccioni, Maria Grazia, Laura De Giglio, Valentina Bruno, et al.. (2023). Potential Protective Role of Pregnancy and Breastfeeding in Delaying Onset Symptoms Related to Multiple Sclerosis. Medicina. 59(3). 619–619. 2 indexed citations
8.
Prosperini, Luca, Shalom Haggiag, Serena Ruggieri, Carla Tortorella, & Claudio Gasperini. (2023). Dimethyl Fumarate or Teriflunomide for Relapsing–Remitting Multiple Sclerosis: A Meta-analysis of Post-marketing Studies. Neurotherapeutics. 20(5). 1275–1283. 2 indexed citations
9.
Prosperini, Luca, Matteo Lucchini, Serena Ruggieri, et al.. (2022). Shift of multiple sclerosis onset towards older age. Journal of Neurology Neurosurgery & Psychiatry. 93(10). 1137–1139. 43 indexed citations
10.
Taloni, Alessandro, Giuseppe Pontillo, Nikolaos Petsas, et al.. (2022). Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques. International Journal of Molecular Sciences. 23(18). 10651–10651. 11 indexed citations
11.
Ruggieri, Serena, Maria Petracca, Laura De Giglio, et al.. (2021). A matter of atrophy: differential impact of brain and spine damage on disability worsening in multiple sclerosis. Journal of Neurology. 268(12). 4698–4706. 16 indexed citations
12.
Tommasin, Silvia, Sirio Cocozza, Alessandro Taloni, et al.. (2021). Machine learning classifier to identify clinical and radiological features relevant to disability progression in multiple sclerosis. Journal of Neurology. 268(12). 4834–4845. 32 indexed citations
13.
Geraldes, Ruth, Maciej Juryńczyk, Giordani Rodrigues dos Passos, et al.. (2020). The role of pontine lesion location in differentiating multiple sclerosis from vascular risk factor-related small vessel disease. Multiple Sclerosis Journal. 27(6). 968–972. 7 indexed citations
14.
Geraldes, Ruth, Maciej Juryńczyk, Marloes Hagens, et al.. (2020). Distinct influence of different vascular risk factors on white matter brain lesions in multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 91(4). 388–391. 16 indexed citations
15.
Tommasin, Silvia, Laura De Giglio, Serena Ruggieri, et al.. (2020). Multi-scale resting state functional reorganization in response to multiple sclerosis damage. Neuroradiology. 62(6). 693–704. 15 indexed citations
16.
Prosperini, Luca, Chiara Mancinelli, Claudio Solaro, et al.. (2020). Induction Versus Escalation in Multiple Sclerosis: A 10-Year Real World Study. Neurotherapeutics. 17(3). 994–1004. 39 indexed citations
17.
Castelli, Letizia, Maria Esmeralda Quartuccio, Serena Ruggieri, Laura De Giglio, & Luca Prosperini. (2020). ‘Posture second’ strategy predicts disability progression in multiple sclerosis. Multiple Sclerosis Journal. 27(7). 1140–1144. 2 indexed citations
18.
Capone, Alessia, Manuela Bianco, Marco De Bardi, et al.. (2019). Distinct Expression of Inflammatory Features in T Helper 17 Cells from Multiple Sclerosis Patients. Cells. 8(6). 533–533. 16 indexed citations
19.
Tommasin, Silvia, Laura De Giglio, Serena Ruggieri, et al.. (2018). Relation between functional connectivity and disability in multiple sclerosis: a non-linear model. Journal of Neurology. 265(12). 2881–2892. 22 indexed citations
20.
Cencioni, Maria Teresa, Giovanna Borsellino, Marco De Bardi, et al.. (2015). FAS-ligand regulates differential activation-induced cell death of human T-helper 1 and 17 cells in healthy donors and multiple sclerosis patients. Cell Death and Disease. 6(5). e1741–e1741. 33 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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