Loredana Storelli

926 total citations
37 papers, 501 citations indexed

About

Loredana Storelli is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Loredana Storelli has authored 37 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pathology and Forensic Medicine, 16 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Neurology. Recurrent topics in Loredana Storelli's work include Multiple Sclerosis Research Studies (33 papers), Ultrasound Imaging and Elastography (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Loredana Storelli is often cited by papers focused on Multiple Sclerosis Research Studies (33 papers), Ultrasound Imaging and Elastography (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Loredana Storelli collaborates with scholars based in Italy, United Kingdom and France. Loredana Storelli's co-authors include Maria A. Rocca, Massimo Filippi, Elisabetta Pagani, Paolo Preziosa, Michael Dayan, Vittorio Murino, Shahab Aslani, Diego Sona, Lucia Moiola and Alessandro Meani and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Loredana Storelli

35 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Loredana Storelli Italy 13 315 160 105 95 76 37 501
Mário João Fartaria Switzerland 14 307 1.0× 229 1.4× 100 1.0× 86 0.9× 48 0.6× 26 568
Émilie Poirion France 12 356 1.1× 165 1.0× 149 1.4× 151 1.6× 41 0.5× 20 614
Colm Elliott Canada 13 501 1.6× 149 0.9× 163 1.6× 101 1.1× 36 0.5× 33 660
Reza Rahmanzadeh Iran 10 217 0.7× 130 0.8× 75 0.7× 60 0.6× 26 0.3× 24 436
Sushmita Datta United States 17 539 1.7× 342 2.1× 115 1.1× 139 1.5× 193 2.5× 27 933
Gerardine Quaghebeur United Kingdom 19 284 0.9× 206 1.3× 306 2.9× 65 0.7× 36 0.5× 35 1.0k
Yang Duan China 15 355 1.1× 115 0.7× 156 1.5× 67 0.7× 25 0.3× 41 720
Muhamed Baraković Switzerland 13 189 0.6× 363 2.3× 48 0.5× 61 0.6× 23 0.3× 46 593
Colin D. Shea United States 9 300 1.0× 139 0.9× 103 1.0× 46 0.5× 20 0.3× 11 416
Simon J. Francis Canada 11 541 1.7× 275 1.7× 187 1.8× 76 0.8× 42 0.6× 14 777

Countries citing papers authored by Loredana Storelli

Since Specialization
Citations

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

Fields of papers citing papers by Loredana Storelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loredana Storelli

This figure shows the co-authorship network connecting the top 25 collaborators of Loredana Storelli. A scholar is included among the top collaborators of Loredana Storelli 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 Loredana Storelli. Loredana Storelli 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.
Preziosa, Paolo, Elisabetta Pagani, Monica Margoni, et al.. (2025). Glymphatic System May Mediate the Relation Between Choroid Plexus and Brain Damage in Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 12(4). e200414–e200414. 3 indexed citations
2.
Pagani, Elisabetta, Paolo Preziosa, Alessandro Meani, et al.. (2024). Cerebrospinal Fluid-In Gradient of Cortical and Deep Gray Matter Damage in Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 11(4). e200271–e200271. 5 indexed citations
3.
Preziosa, Paolo, et al.. (2024). Spatial correspondence among regional gene expressions and gray matter volume loss in multiple sclerosis. Molecular Psychiatry. 29(6). 1833–1843. 2 indexed citations
4.
Margoni, Monica, Paolo Preziosa, Elisabetta Pagani, et al.. (2024). Assessment of central vein sign and paramagnetic rim lesions in pediatric multiple sclerosis. Annals of Clinical and Translational Neurology. 11(11). 3031–3036. 7 indexed citations
5.
Rocca, Maria A., Monica Margoni, Marco Battaglini, et al.. (2023). Emerging Perspectives on MRI Application in Multiple Sclerosis: Moving from Pathophysiology to Clinical Practice. Radiology. 307(5). e221512–e221512. 17 indexed citations
6.
Valsasina, Paola, et al.. (2023). Monoaminergic network dysfunction and development of depression in multiple sclerosis: a longitudinal investigation. Journal of Neurology. 271(4). 1618–1629. 4 indexed citations
7.
Storelli, Loredana, Elisabetta Pagani, Patrizià Pantano, et al.. (2023). Quantification of Thalamic Atrophy in MS: From the Multicenter Italian Neuroimaging Network Initiative Data Set to Clinical Application. American Journal of Neuroradiology. 44(12). 1399–1404.
8.
Storelli, Loredana, et al.. (2023). A Fully Automatic Method to Segment Choroid Plexuses in Multiple Sclerosis Using Conventional MRI Sequences. Journal of Magnetic Resonance Imaging. 59(5). 1643–1652. 16 indexed citations
9.
Marzi, Chiara, Alessandro d’Ambrosio, Stefano Diciotti, et al.. (2022). Prediction of the information processing speed performance in multiple sclerosis using a machine learning approach in a large multicenter magnetic resonance imaging data set. Human Brain Mapping. 44(1). 186–202. 17 indexed citations
10.
Santoro, Silvia, Ferdinando Clarelli, Paolo Preziosa, et al.. (2022). Exploring the Association of HLA Genetic Risk Burden on Thalamic and Hippocampal Atrophy in Multiple Sclerosis Patients. Genes. 13(11). 2136–2136. 2 indexed citations
11.
Storelli, Loredana, et al.. (2022). The insula modulates the effects of aerobic training on cardiovascular function and ambulation in multiple sclerosis. Journal of Neurology. 270(3). 1672–1681. 5 indexed citations
12.
Storelli, Loredana, Elisabetta Pagani, Alessandro Meani, et al.. (2022). Advanced diffusion-weighted imaging models better characterize white matter neurodegeneration and clinical outcomes in multiple sclerosis. Journal of Neurology. 269(9). 4729–4741. 7 indexed citations
13.
Cacciaguerra, Laura, Loredana Storelli, Alessandro Meani, et al.. (2022). The association between cognition and motor performance is beyond structural damage in relapsing–remitting multiple sclerosis. Journal of Neurology. 269(8). 4213–4221. 13 indexed citations
14.
Cacciaguerra, Laura, Loredana Storelli, Marta Radaelli, et al.. (2021). Application of deep-learning to the seronegative side of the NMO spectrum. Journal of Neurology. 269(3). 1546–1556. 6 indexed citations
15.
Cacciaguerra, Laura, Loredana Storelli, Šarlota Mesaroš, et al.. (2020). Artificial Intelligence on Conventional Magnetic Resonance Images for the Diagnosis of Neuromyelitis Optica Spectrum Disorders. European Journal of Neurology. 27. 201–201. 1 indexed citations
16.
Preziosa, Paolo, Maria A. Rocca, Elisabetta Pagani, et al.. (2020). Two-year regional grey and white matter volume changes with natalizumab and fingolimod. Journal of Neurology Neurosurgery & Psychiatry. 91(5). 493–502. 11 indexed citations
17.
Storelli, Loredana, Maria A. Rocca, Patrizià Pantano, et al.. (2019). MRI quality control for the Italian Neuroimaging Network Initiative: moving towards big data in multiple sclerosis. Journal of Neurology. 266(11). 2848–2858. 11 indexed citations
18.
Aslani, Shahab, Michael Dayan, Loredana Storelli, et al.. (2019). Multi-branch convolutional neural network for multiple sclerosis lesion segmentation. NeuroImage. 196. 1–15. 114 indexed citations
19.
Preziosa, Paolo, Maria A. Rocca, Gianna Carla Riccitelli, et al.. (2019). Effects of Natalizumab and Fingolimod on Clinical, Cognitive, and Magnetic Resonance Imaging Measures in Multiple Sclerosis. Neurotherapeutics. 17(1). 208–217. 32 indexed citations
20.
Storelli, Loredana, Elisabetta Pagani, Maria A. Rocca, et al.. (2016). A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context. American Journal of Neuroradiology. 37(11). 2043–2049. 5 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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2026