Ferdinando Clarelli

2.3k total citations
32 papers, 310 citations indexed

About

Ferdinando Clarelli is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Neurology. According to data from OpenAlex, Ferdinando Clarelli has authored 32 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pathology and Forensic Medicine, 19 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Ferdinando Clarelli's work include Multiple Sclerosis Research Studies (23 papers), Peripheral Neuropathies and Disorders (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). Ferdinando Clarelli is often cited by papers focused on Multiple Sclerosis Research Studies (23 papers), Peripheral Neuropathies and Disorders (4 papers) and Autoimmune and Inflammatory Disorders Research (4 papers). Ferdinando Clarelli collaborates with scholars based in Italy, United States and France. Ferdinando Clarelli's co-authors include Filippo Martinelli Boneschi, Melissa Sorosina, Gıancarlo Comı, Federica Esposito, Elisabetta Mascia, Vittorio Martinelli, Sandra D’Alfonso, Nadia Barizzone, Laura Ferrè and Eleonora Mangano and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Ferdinando Clarelli

31 papers receiving 303 citations

Peers

Ferdinando Clarelli
Ferdinando Clarelli
Citations per year, relative to Ferdinando Clarelli Ferdinando Clarelli (= 1×) peers Melissa Sorosina

Countries citing papers authored by Ferdinando Clarelli

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinando Clarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinando Clarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinando Clarelli. A scholar is included among the top collaborators of Ferdinando Clarelli 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 Ferdinando Clarelli. Ferdinando Clarelli 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.
Pignolet, Béatrice, Elisabetta Mascia, Ferdinando Clarelli, et al.. (2024). DNA Methylation in the Anti‐Mullerian Hormone Gene and the Risk of Disease Activity in Multiple Sclerosis. Annals of Neurology. 96(2). 289–301. 3 indexed citations
2.
Mascia, Elisabetta, Laura Ferrè, Melissa Sorosina, et al.. (2024). Genetic Contribution to Medium-Term Disease Activity in Multiple Sclerosis. Molecular Neurobiology. 62(1). 322–334. 1 indexed citations
3.
Clarelli, Ferdinando, Elisabetta Mascia, Melissa Sorosina, et al.. (2024). Vitamin D affects the risk of disease activity in multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 96(2). 170–176. 7 indexed citations
4.
Ferrè, Laura, Ferdinando Clarelli, Béatrice Pignolet, et al.. (2023). Combining Clinical and Genetic Data to Predict Response to Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients: A Precision Medicine Approach. Journal of Personalized Medicine. 13(1). 122–122. 6 indexed citations
5.
Sorosina, Melissa, Silvia Santoro, Laura Ferrè, et al.. (2023). Risk HLA Variants Affect the T-Cell Repertoire in Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 10(3). 5 indexed citations
6.
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
7.
Ferrè, Laura, Ferdinando Clarelli, Francesca Sangalli, et al.. (2022). Early use of fingolimod is associated with better clinical outcomes in relapsing–remitting multiple sclerosis patients. Journal of Neurology. 269(10). 5596–5605.
8.
Clarelli, Ferdinando, Elisabetta Mascia, Silvia Santoro, et al.. (2022). BDNF Val66Met Polymorphism Is Associated With Motor Recovery After Rehabilitation in Progressive Multiple Sclerosis Patients. Frontiers in Neurology. 13. 790360–790360. 9 indexed citations
9.
Cerri, Federica, Francesco Gentile, Ferdinando Clarelli, et al.. (2022). Clinical and pathological findings in neurolymphomatosis: Preliminary association with gene expression profiles in sural nerves. Frontiers in Oncology. 12. 974751–974751. 2 indexed citations
10.
García-Manteiga, José Manuel, Ferdinando Clarelli, Silvia Bonfiglio, et al.. (2021). Identification of differential DNA methylation associated with multiple sclerosis: A family-based study. Journal of Neuroimmunology. 356. 577600–577600. 3 indexed citations
11.
Sferruzza, Giacomo, Ferdinando Clarelli, Elisabetta Mascia, et al.. (2021). Transcriptomic Analysis of Peripheral Monocytes upon Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients. Molecular Neurobiology. 58(10). 4816–4827. 9 indexed citations
12.
Boneschi, Filippo Martinelli, Riccardo Curró, Silvia Santoro, et al.. (2020). Impact of multiple sclerosis risk loci in postinfectious neurological syndromes. Multiple Sclerosis and Related Disorders. 44. 102326–102326. 1 indexed citations
13.
Anand, Santosh, Eleonora Mangano, Nadia Barizzone, et al.. (2020). Author Correction: Next Generation Sequencing of Pooled Samples: Guideline for Variants’ Filtering. Scientific Reports. 10(1). 5517–5517. 1 indexed citations
14.
Santoro, Silvia, Ignazio Diego Lopez, Raffaella Lombardi, et al.. (2018). Laser capture microdissection for transcriptomic profiles in human skin biopsies. BMC Molecular Biology. 19(1). 7–7. 6 indexed citations
15.
Sorosina, Melissa, Ferdinando Clarelli, Laura Ferrè, et al.. (2018). Clinical response to Nabiximols correlates with the downregulation of immune pathways in multiple sclerosis. European Journal of Neurology. 25(7). 934–934. 18 indexed citations
16.
Malhotra, Sunny, Melissa Sorosina, Jordi Río, et al.. (2017). NLRP3 polymorphisms and response to interferon-beta in multiple sclerosis patients. Multiple Sclerosis Journal. 24(11). 1507–1510. 8 indexed citations
17.
Clarelli, Ferdinando, Elisabetta Mascia, Roberto Santangelo, et al.. (2016). CHRNA7 Gene and Response to Cholinesterase Inhibitors in an Italian Cohort of Alzheimer’s Disease Patients. Journal of Alzheimer s Disease. 52(4). 1203–1208. 18 indexed citations
18.
Anand, Santosh, Eleonora Mangano, Nadia Barizzone, et al.. (2016). Next Generation Sequencing of Pooled Samples: Guideline for Variants’ Filtering. Scientific Reports. 6(1). 33735–33735. 70 indexed citations
19.
Clarelli, Ferdinando, Giuseppe Liberatore, Melissa Sorosina, et al.. (2015). Pharmacogenetic study of long-term response to interferon-β treatment in multiple sclerosis. The Pharmacogenomics Journal. 17(1). 84–91. 22 indexed citations
20.
Giacalone, Giacomo, Ferdinando Clarelli, Clara Guaschino, et al.. (2015). Analysis of genes, pathways and networks involved in disease severity and age at onset in primary-progressive multiple sclerosis. Multiple Sclerosis Journal. 21(11). 1431–1442. 20 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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