Sara Bortolani

676 total citations
23 papers, 229 citations indexed

About

Sara Bortolani is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Sara Bortolani has authored 23 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Neurology. Recurrent topics in Sara Bortolani's work include Muscle Physiology and Disorders (9 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Sara Bortolani is often cited by papers focused on Muscle Physiology and Disorders (9 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Sara Bortolani collaborates with scholars based in Italy, United Kingdom and United States. Sara Bortolani's co-authors include Mauro Monforte, Giorgio Tasca, Enzo Ricci, Tiziana Mongini, Enrica Rolle, Leonardo Lopiano, Liliana Vercelli, Carlo Alberto Artusi, Mauro Bergui and G. Stura and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, Cell Death and Disease and Journal of the Neurological Sciences.

In The Last Decade

Sara Bortolani

20 papers receiving 224 citations

Peers

Sara Bortolani
B. Jane Distad United States
Ravi Knight United Kingdom
Kathleen D. Kennelly United States
Sara Bortolani
Citations per year, relative to Sara Bortolani Sara Bortolani (= 1×) peers Isabell Cordts

Countries citing papers authored by Sara Bortolani

Since Specialization
Citations

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

Fields of papers citing papers by Sara Bortolani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Bortolani

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Bortolani. A scholar is included among the top collaborators of Sara Bortolani 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 Bortolani. Sara Bortolani 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.
Paoletti, Matteo, Mauro Monforte, Giorgio Tasca, et al.. (2025). Natural history of facioscapulohumeral muscular dystrophy evaluated by multiparametric quantitative MRI: a prospective cohort study. Journal of Neurology. 272(4). 306–306.
2.
Paoletti, Matteo, Mauro Monforte, Sara Bortolani, et al.. (2024). Muscle diffusion tensor imaging in facioscapulohumeral muscular dystrophy. Muscle & Nerve. 70(2). 248–256. 1 indexed citations
3.
Scala, Irene, Sara Bortolani, Giovanni Frisullo, et al.. (2024). Temporalis muscle thickness as a predictor of functional outcome after reperfusion therapies for acute ischemic stroke: a retrospective, cohort study. Journal of Neurology. 271(9). 6015–6024. 3 indexed citations
4.
Monforte, Mauro, Sara Bortolani, Enzo Ricci, et al.. (2024). Hospital admissions from the emergency department of adult patients affected by myopathies. European Journal of Neurology. 31(5). e16214–e16214. 1 indexed citations
5.
Bortolani, Sara, Lorena Di Pietro, Andrea Papait, et al.. (2023). Muscle fibrosis as a prognostic biomarker in facioscapulohumeral muscular dystrophy: a retrospective cohort study. Acta Neuropathologica Communications. 11(1). 165–165. 1 indexed citations
6.
Strafella, Claudia, Valerio Caputo, Sara Bortolani, et al.. (2023). Whole exome sequencing highlights rare variants in CTCF, DNMT1, DNMT3A, EZH2 and SUV39H1 as associated with FSHD. Frontiers in Genetics. 14. 1235589–1235589. 10 indexed citations
7.
Monforte, Mauro, Benedetto Falsini, Stanislao Rizzo, et al.. (2023). Artificial Intelligence for Evaluation of Retinal Vasculopathy in Facioscapulohumeral Dystrophy Using OCT Angiography: A Case Series. Diagnostics. 13(5). 982–982. 1 indexed citations
8.
Pietro, Lorena Di, Valentina Saccone, Marco De Bardi, et al.. (2022). Non-myogenic mesenchymal cells contribute to muscle degeneration in facioscapulohumeral muscular dystrophy patients. Cell Death and Disease. 13(9). 793–793. 6 indexed citations
9.
Lucchini, Matteo, Sara Bortolani, Mauro Monforte, et al.. (2022). Upper body involvement in GNE myopathy assessed by muscle imaging. Neuromuscular Disorders. 32(5). 410–418. 6 indexed citations
10.
Bonanno, Silvia, Riccardo Zanin, Luca Bello, et al.. (2022). Quality of life assessment in adult spinal muscular atrophy patients treated with nusinersen. Journal of Neurology. 269(6). 3264–3275. 12 indexed citations
11.
Lucchini, Matteo, Sara Bortolani, Mauro Monforte, et al.. (2021). Long-term Follow-up and Muscle Imaging Findings in Brachio-Cervical Inflammatory Myopathy. Neurology Neuroimmunology & Neuroinflammation. 8(4). 3 indexed citations
12.
Bortolani, Sara, Enrica Rolle, Mauro Monforte, et al.. (2021). Technology outcome measures in neuromuscular disorders: A systematic review. European Journal of Neurology. 29(4). 1266–1278. 13 indexed citations
13.
Monforte, Mauro, Sara Bortolani, Francesco Laschena, et al.. (2021). Diagnostic magnetic resonance imaging biomarkers for facioscapulohumeral muscular dystrophy identified by machine learning. Journal of Neurology. 269(4). 2055–2063. 16 indexed citations
14.
Artusi, Carlo Alberto, Alok Dwivedi, Alberto Romagnolo, et al.. (2020). Differential response to pallidal deep brain stimulation among monogenic dystonias: systematic review and meta-analysis. Journal of Neurology Neurosurgery & Psychiatry. 91(4). 426–433. 38 indexed citations
15.
Bortolani, Sara, Fabiana Fattori, Mauro Monforte, Enzo Ricci, & Giorgio Tasca. (2020). Peculiar muscle imaging findings in a patient with alphaB-crystallinopathy and axial myopathy. Journal of the Neurological Sciences. 416. 116999–116999. 4 indexed citations
16.
Artusi, Carlo Alberto, et al.. (2020). Changing the Side of Pisa Syndrome: A Case of Over‐Recovery with Botulinum Toxin. Movement Disorders Clinical Practice. 7(5). 571–572.
17.
Artusi, Carlo Alberto, Roberta Balestrino, Gabriele Imbalzano, et al.. (2019). Beyond 10 years of levodopa intestinal infusion experience: Analysis of mortality and its predictors. Parkinsonism & Related Disorders. 76. 98–103. 10 indexed citations
18.
Bortolani, Sara, G. Stura, Liliana Vercelli, et al.. (2019). Intrathecal administration of nusinersen in adult and adolescent patients with spinal muscular atrophy and scoliosis: Transforaminal versus conventional approach. Neuromuscular Disorders. 29(10). 742–746. 37 indexed citations
19.
Bruno, Federico, Sara Bortolani, Rosa Palmiero, et al.. (2019). P14.85 Brain metastasis from Hodgkin’s Lymphoma: case report and literature review. Neuro-Oncology. 21(Supplement_3). iii87–iii88.
20.
Artusi, Carlo Alberto, Sara Bortolani, Aristide Merola, et al.. (2018). Botulinum toxin for Pisa syndrome: An MRI-, ultrasound- and electromyography-guided pilot study. Parkinsonism & Related Disorders. 62. 231–235. 21 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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