Simona Schiavi

1.8k total citations · 1 hit paper
60 papers, 679 citations indexed

About

Simona Schiavi is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Simona Schiavi has authored 60 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Cognitive Neuroscience and 21 papers in Pathology and Forensic Medicine. Recurrent topics in Simona Schiavi's work include Advanced Neuroimaging Techniques and Applications (50 papers), Advanced MRI Techniques and Applications (27 papers) and Multiple Sclerosis Research Studies (21 papers). Simona Schiavi is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (50 papers), Advanced MRI Techniques and Applications (27 papers) and Multiple Sclerosis Research Studies (21 papers). Simona Schiavi collaborates with scholars based in Italy, Switzerland and United States. Simona Schiavi's co-authors include Alessandro Daducci, Matilde Inglese, Robert E. Smith, Caio Seguin, Muhamed Baraković, Tengda Zhao, Yong He, Chun‐Hung Yeh, Fan Zhang and Lauren J. O’Donnell and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.

In The Last Decade

Simona Schiavi

55 papers receiving 672 citations

Hit Papers

Quantitative mapping of the brain’s structural connectivi... 2022 2026 2023 2024 2022 40 80 120

Peers

Simona Schiavi
Mohamed Tachrount United Kingdom
Kathryn L. West United States
Nathaniel D. Kelm United States
Maryam Seif Switzerland
Simona Schiavi
Citations per year, relative to Simona Schiavi Simona Schiavi (= 1×) peers Ilana R. Leppert

Countries citing papers authored by Simona Schiavi

Since Specialization
Citations

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

Fields of papers citing papers by Simona Schiavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simona Schiavi

This figure shows the co-authorship network connecting the top 25 collaborators of Simona Schiavi. A scholar is included among the top collaborators of Simona Schiavi 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 Simona Schiavi. Simona Schiavi 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.
Leppert, Ilana R., Jennifer S. W. Campbell, Simona Schiavi, et al.. (2025). Mapping the aggregate g-ratio of white matter tracts using multi-modal MRI. Imaging Neuroscience. 3.
2.
Silvestri, Giulia, Luca Roccatagliata, Simona Schiavi, et al.. (2025). The “central vein sign” to differentiate multiple sclerosis from migraine. Headache The Journal of Head and Face Pain. 65(4). 558–567. 1 indexed citations
3.
Schiavi, Simona, et al.. (2024). Blurred streamlines: A novel representation to reduce redundancy in tractography. Medical Image Analysis. 93. 103101–103101. 6 indexed citations
4.
Wenger, Alice, Muhamed Baraković, Sabine Schaedelin, et al.. (2023). An investigation of the association between focal damage and global network properties in cognitively impaired and cognitively preserved patients with multiple sclerosis. Frontiers in Neuroscience. 17. 1007580–1007580.
5.
Royer, Jessica, Ilana R. Leppert, Jennifer S. W. Campbell, et al.. (2023). The human brain connectome weighted by the myelin content and total intra-axonal cross-sectional area of white matter tracts. Network Neuroscience. 7(4). 1363–1388. 7 indexed citations
6.
Schiavi, Simona, Marco Palombo, Domenico Zacà, et al.. (2023). Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics. Human Brain Mapping. 44(13). 4792–4811. 9 indexed citations
7.
Sarwar, Tabinda, Kotagiri Ramamohanarao, Alessandro Daducci, et al.. (2023). Evaluation of tractogram filtering methods using human-like connectome phantoms. NeuroImage. 281. 120376–120376. 7 indexed citations
8.
Lapucci, Caterina, Maria Cellerino, Andrea Rossi, et al.. (2022). Evaluating the central vein sign in paediatric-onset multiple sclerosis: A case series study. Multiple Sclerosis Journal. 29(3). 475–478. 10 indexed citations
9.
Schiavi, Simona, et al.. (2022). Classification of multiple sclerosis patients based on structural disconnection: A robust feature selection approach. Journal of Neuroimaging. 32(4). 647–655. 8 indexed citations
10.
Pontillo, Giuseppe, Maria Petracca, Teresa Costabile, et al.. (2022). Structural disconnection and functional reorganization in Fabry disease: a multimodal MRI study. Brain Communications. 4(4). fcac187–fcac187. 6 indexed citations
11.
Costagli, Mauro, Caterina Lapucci, Domenico Zacà, et al.. (2022). Improved detection of multiple sclerosis lesions with T2‐prepared double inversion recovery at 3T. Journal of Neuroimaging. 32(5). 902–909. 9 indexed citations
12.
Koch, Philipp, Gabriel Girard, Elena Beanato, et al.. (2022). Evaluating reproducibility and subject-specificity of microstructure-informed connectivity. NeuroImage. 258. 119356–119356. 8 indexed citations
13.
Messaritaki, Eirini, Sonya Foley, Simona Schiavi, et al.. (2021). Predicting MEG resting-state functional connectivity from microstructural information. Network Neuroscience. 5(2). 477–504. 14 indexed citations
14.
Rahmanzadeh, Reza, Po‐Jui Lu, Muhamed Baraković, et al.. (2021). Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging. Brain. 144(6). 1684–1696. 82 indexed citations
15.
Bommarito, Giulia, Simona Schiavi, Niccolò Piaggio, et al.. (2020). Position Sense Deficits at the Lower Limbs in Early Multiple Sclerosis: Clinical and Neural Correlates. Neurorehabilitation and neural repair. 34(3). 260–270. 14 indexed citations
16.
Schiavi, Simona, Maria Petracca, Mohamed Mounir El Mendili, et al.. (2020). Sensory‐motor network topology in multiple sclerosis: Structural connectivity analysis accounting for intrinsic density discrepancy. Human Brain Mapping. 41(11). 2951–2963. 25 indexed citations
17.
Schiavi, Simona, Maria Petracca, Peng Sun, et al.. (2020). Non-invasive quantification of inflammation, axonal and myelin injury in multiple sclerosis. Brain. 144(1). 213–223. 30 indexed citations
18.
Schiavi, Simona, Mario Ocampo‐Pineda, Muhamed Baraković, et al.. (2020). A new method for accurate in vivo mapping of human brain connections using microstructural and anatomical information. Science Advances. 6(31). eaba8245–eaba8245. 66 indexed citations
19.
Pardini, Matteo, Giulia Bommarito, Luca Roccatagliata, et al.. (2019). CSF oligoclonal bands and normal appearing white matter periventricular damage in patients with clinically isolated syndrome suggestive of MS. Multiple Sclerosis and Related Disorders. 31. 93–96. 10 indexed citations
20.
Schiavi, Simona, Giulia Bommarito, Giacomo Boffa, et al.. (2019). A two alternative forced choice method for assessing vibrotactile discrimination thresholds in the lower limb. Somatosensory & Motor Research. 36(2). 162–170. 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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