Paolo Preziosa

7.0k total citations · 4 hit papers
143 papers, 4.2k citations indexed

About

Paolo Preziosa is a scholar working on Pathology and Forensic Medicine, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paolo Preziosa has authored 143 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Pathology and Forensic Medicine, 45 papers in Neurology and 45 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paolo Preziosa's work include Multiple Sclerosis Research Studies (114 papers), Advanced Neuroimaging Techniques and Applications (38 papers) and Peripheral Neuropathies and Disorders (31 papers). Paolo Preziosa is often cited by papers focused on Multiple Sclerosis Research Studies (114 papers), Advanced Neuroimaging Techniques and Applications (38 papers) and Peripheral Neuropathies and Disorders (31 papers). Paolo Preziosa collaborates with scholars based in Italy, United Kingdom and Netherlands. Paolo Preziosa's co-authors include Massimo Filippi, Maria A. Rocca, Alessandra Solari, Sandra Vukusic, Fredrik Piehl, Amit Bar‐Or, Elisabetta Pagani, Gianna Carla Riccitelli, Monica Margoni and Alessandro Meani and has published in prestigious journals such as NeuroImage, Brain and Neurology.

In The Last Decade

Paolo Preziosa

131 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multiple sclerosis

2018 930 citations Massimo Filippi, Amit Bar‐Or et al. Nature Reviews Disease Primers profile →
Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines

2019 348 citations Massimo Filippi, Paolo Preziosa et al. Brain profile →
Glymphatic system impairment in multiple sclerosis: relation with brain damage and disability

2021 165 citations Laura Cacciaguerra, Elisabetta Pagani et al. Brain profile →
Early use of high-efficacy disease‑modifying therapies makes the difference in people with multiple sclerosis: an expert opinion

2022 104 citations Massimo Filippi, Claudio Gasperini et al. Journal of Neurology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paolo Preziosa Italy	32	2.9k	1.1k	922	651	612	143	4.2k
Michael Khalil Austria	32	1.9k 0.7×	1.5k 1.4×	709 0.8×	1.0k 1.6×	497 0.8×	104	4.5k
Martina Absinta Italy	43	3.4k 1.2×	1.5k 1.4×	1.4k 1.5×	905 1.4×	653 1.1×	104	5.7k
Valentina Tomassini Italy	34	1.9k 0.7×	873 0.8×	1.1k 1.2×	353 0.5×	510 0.8×	90	4.6k
Darin T. Okuda United States	24	2.7k 0.9×	1.1k 1.0×	589 0.6×	484 0.7×	650 1.1×	113	3.4k
Vincenzo Brescia Morra Italy	38	2.4k 0.8×	1.1k 1.0×	405 0.4×	717 1.1×	567 0.9×	182	4.1k
Yvonne Naegelin Switzerland	29	2.1k 0.7×	967 0.9×	477 0.5×	589 0.9×	521 0.9×	83	3.5k
Gabriele C. DeLuca United Kingdom	41	3.0k 1.1×	1.2k 1.1×	790 0.9×	1.0k 1.6×	769 1.3×	126	5.8k
Alexander U. Brandt Germany	46	3.2k 1.1×	1.8k 1.6×	824 0.9×	674 1.0×	1.1k 1.8×	190	5.8k
Jiwon Oh Canada	32	2.5k 0.9×	883 0.8×	751 0.8×	473 0.7×	670 1.1×	170	4.1k
Daniel Pelletier United States	28	3.1k 1.1×	970 0.9×	507 0.5×	699 1.1×	796 1.3×	36	4.1k

Countries citing papers authored by Paolo Preziosa

Since Specialization

Citations

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

Fields of papers citing papers by Paolo Preziosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Preziosa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Preziosa, Paolo, Elisabetta Pagani, Alessandro Meani, et al.. (2025). Soma and neurite density abnormalities of paramagnetic rim lesions and core-sign lesions in multiple sclerosis. Journal of Neurology. 272(2). 145–145.

Preziosa, Paolo, Elisabetta Pagani, Alessandro Meani, et al.. (2025). Cervical spinal cord gray matter damage predicts disability worsening in multiple sclerosis: a longitudinal study. Journal of Neurology. 272(3). 228–228.

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

Rocca, Maria A., Paolo Preziosa, Frederik Barkhof, et al.. (2024). Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis. The Lancet Regional Health - Europe. 44. 100978–100978. 23 indexed citations

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

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

Preziosa, Paolo, Giuseppe A. Ramirez, Enrica Bozzolo, et al.. (2023). Choroid plexus and perivascular space enlargement in neuropsychiatric systemic lupus erythematosus. Molecular Psychiatry. 29(2). 359–368. 17 indexed citations

Pantzaris, Marios, Christos Bakirtzis, Nikolaos Grigoriadis, et al.. (2022). Phase III, randomised, double-blind, placebo-controlled trial of Neuroaspis plp10 as an adjuvant treatment for relapsing multiple sclerosis: the MINERAL Study. BMJ Neurology Open. 4(2). e000334–e000334. 2 indexed citations

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

10.

Margoni, Monica, Paolo Preziosa, Maria A. Rocca, & Massimo Filippi. (2022). Pediatric multiple sclerosis: developments in timely diagnosis and prognostication. Expert Review of Neurotherapeutics. 22(5). 393–403. 13 indexed citations

11.

Bonacchi, Raffaello, Paola Valsasina, Paolo Preziosa, et al.. (2021). Functional and structural MRI correlates of executive functions in multiple sclerosis. Journal of the Neurological Sciences. 429. 117647–117647. 1 indexed citations

12.

Ramirez, Giuseppe A., Maria A. Rocca, Paolo Preziosa, et al.. (2020). Quantitative MRI adds to neuropsychiatric lupus diagnostics. Lara D. Veeken. 60(7). 3278–3288. 8 indexed citations

13.

Bonacchi, Raffaello, Maria A. Rocca, Elisabetta Pagani, et al.. (2020). Clinical Relevance of Multiparametric MRI Assessment of Spinal Cord Damage in Multiple Sclerosis (3925). Neurology. 94(15_supplement). 1 indexed citations

14.

Bonacchi, Raffaello, Maria A. Rocca, Giuseppe A. Ramirez, et al.. (2020). Resting state network functional connectivity abnormalities in systemic lupus erythematosus: correlations with neuropsychiatric impairment. Molecular Psychiatry. 26(7). 3634–3645. 29 indexed citations

15.

Filippi, Massimo, Paolo Preziosa, Brenda Banwell, et al.. (2019). Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines. Brain. 142(7). 1858–1875. 348 indexed citations breakdown →

16.

Geraldes, Ruth, Olga Ciccarelli, Frederik Barkhof, et al.. (2018). Erratum: The current role of MRI in differentiating multiple sclerosis from its imaging mimics. Nature Reviews Neurology. 14(4). 213–213. 21 indexed citations

17.

Filippi, Massimo, Amit Bar‐Or, Fredrik Piehl, et al.. (2018). Author Correction: Multiple sclerosis. Nature Reviews Disease Primers. 4(1). 49–49. 38 indexed citations

18.

Rocca, Maria A., Paola Valsasina, Bruno Colombo, et al.. (2018). Modulation of Cortico-Subcortical Functional Connectivity Occurs After Symptomatic Treatment of Fatigue in Patients with Multiple Sclerosis (P3.384). Neurology. 90(15_supplement). 1 indexed citations

19.

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

20.

Preziosa, Paolo, Maria A. Rocca, Manfredo Atzori, et al.. (2014). Structural MRI correlates of cognitive impairment in patients with multiple sclerosis: A Multicenter Study. UCL Discovery (University College London). 4 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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