Francesca Bovis

6.4k total citations
116 papers, 1.3k citations indexed

About

Francesca Bovis is a scholar working on Pathology and Forensic Medicine, Hematology and Speech and Hearing. According to data from OpenAlex, Francesca Bovis has authored 116 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pathology and Forensic Medicine, 39 papers in Hematology and 28 papers in Speech and Hearing. Recurrent topics in Francesca Bovis's work include Autoimmune and Inflammatory Disorders Research (38 papers), Multiple Sclerosis Research Studies (28 papers) and Adolescent and Pediatric Healthcare (28 papers). Francesca Bovis is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (38 papers), Multiple Sclerosis Research Studies (28 papers) and Adolescent and Pediatric Healthcare (28 papers). Francesca Bovis collaborates with scholars based in Italy, United States and Canada. Francesca Bovis's co-authors include Maria Pia Sormani, Angelo Ravelli, Nicolino Ruperto, Alessandro Consolaro, Alberto Martini, Marta Ponzano, Angela Pistorio, Cinzia Finocchi, Paola Torelli and Lars Arendt‐Nielsen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Francesca Bovis

107 papers receiving 1.3k citations

Peers

Francesca Bovis
Robert M. Rennebohm United States
Bernhard H. Singsen United States
Jeanne E. Hicks United States
Johannes‐Peter Haas Germany
Steven J. Spalding United States
Teresa Giani Italy
Daniel F. Battafarano United States
Alexander Fraser Ireland
Christine zu Eulenburg Germany
Kristina Unnebrink Germany
Robert M. Rennebohm United States
Francesca Bovis
Citations per year, relative to Francesca Bovis Francesca Bovis (= 1×) peers Robert M. Rennebohm

Countries citing papers authored by Francesca Bovis

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Bovis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Bovis

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Bovis. A scholar is included among the top collaborators of Francesca Bovis 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 Francesca Bovis. Francesca Bovis 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.
Bovis, Francesca, Alessio Signori, Irene Schiavetti, et al.. (2025). Uncovering a bias in estimated treatment effects on PIRA in multiple sclerosis clinical trials. EBioMedicine. 117. 105802–105802.
2.
Carmisciano, Luca, Alessio Signori, Marta Ponzano, et al.. (2024). Creating an automated tool for a consistent and repeatable evaluation of disability progression in clinical studies for multiple sclerosis. Multiple Sclerosis Journal. 30(9). 1185–1192. 2 indexed citations
3.
4.
Bovis, Francesca, et al.. (2024). Therapeutic lag: Is treatment effect delayed in progressive MS?. Multiple Sclerosis Journal. 30(7). 843–846. 2 indexed citations
5.
Puthenparampil, Marco, Alicia C Marín, Matteo Ponzano, et al.. (2024). Blood-brain barrier damage associates with glia-related cytokines in the cerebrospinal fluid of patients with Multiple Sclerosis. Multiple Sclerosis and Related Disorders. 82. 105403–105403. 4 indexed citations
6.
Ponzano, Marta, Alessio Signori, Andrea Bellavia, et al.. (2024). Race and ethnicity in multiple sclerosis phase 3 clinical trials: A systematic review. Multiple Sclerosis Journal. 30(8). 934–967. 2 indexed citations
7.
Signori, Alessio, Francesca Bovis, Irene Schiavetti, et al.. (2023). Assessing the duration of EDSS improvement after a therapy start: A novel approach applied to the long-term extension of the PRISMS study. Multiple Sclerosis and Related Disorders. 79. 104945–104945.
8.
Arendt‐Nielsen, Lars, Marta Ponzano, Francesca Bovis, et al.. (2023). Migraine patients with and without neck pain: Differences in clinical characteristics, sensitization, musculoskeletal impairments, and psychological burden.. Musculoskeletal Science and Practice. 66. 102800–102800. 12 indexed citations
9.
Al‐Mayouf, Sulaiman M., Paul Brogan, Luca Cantarini, et al.. (2023). Validation of the PEDiatric Behçet’s Disease classification criteria: an evidence-based approach. Lara D. Veeken. 63(12). 3422–3431. 3 indexed citations
10.
Arendt‐Nielsen, Lars, Marta Ponzano, Francesca Bovis, et al.. (2023). Trigeminocervical pain sensitivity during the migraine cycle depends on headache frequency. Neurological Sciences. 44(11). 4021–4032. 5 indexed citations
11.
Arendt‐Nielsen, Lars, Marta Ponzano, Francesca Bovis, et al.. (2023). Profiling migraine patients according to clinical and psychophysical characteristics: a cluster analysis approach. Pain Medicine. 24(9). 1046–1057. 9 indexed citations
12.
Arendt‐Nielsen, Lars, Marta Ponzano, Francesca Bovis, et al.. (2023). Profiling migraine patients according to clinical and psychophysical characteristics: clinical validity of distinct migraine clusters. Neurological Sciences. 45(3). 1185–1200. 3 indexed citations
13.
Nichyporuk, Brennan, Francesca Bovis, Maria Pia Sormani, et al.. (2022). Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning. Nature Communications. 13(1). 5645–5645. 20 indexed citations
14.
Castaldo, Matteo, Marta Ponzano, Francesca Bovis, et al.. (2022). Trigeminal and cervical sensitization during the four phases of the migraine cycle in patients with episodic migraine. Headache The Journal of Head and Face Pain. 62(2). 176–190. 21 indexed citations
15.
Civino, Adele, Francesca Bovis, Marta Ponzano, et al.. (2022). Development and Initial Validation of the ONCOREUM Score to Differentiate Childhood Cancer with Arthropathy from Juvenile Idiopathic Arthritis. The Journal of Pediatrics. 253. 219–224.e3. 3 indexed citations
16.
Bovis, Francesca, Giulio Disanto, Paolo Ripellino, et al.. (2021). Recurrence and Prognostic Value of Asymptomatic Spinal Cord Lesions in Multiple Sclerosis. Journal of Clinical Medicine. 10(3). 463–463. 10 indexed citations
17.
Sarteschi, Giovanni, Antonio Di Biagio, Emanuele Focà, et al.. (2020). Viremia copy-years and risk of estimated glomerular filtration rate reduction in adults living with perinatal HIV infection. PLoS ONE. 15(10). e0240550–e0240550. 2 indexed citations
18.
Signori, Alessio, Giacomo Boffa, Francesca Bovis, et al.. (2020). Prevalence of disability improvement as a potential outcome for multiple sclerosis trials. Multiple Sclerosis Journal. 27(5). 706–711. 7 indexed citations
19.
Pellegrini, Fabio, Massimiliano Copetti, Francesca Bovis, et al.. (2019). A proof-of-concept application of a novel scoring approach for personalized medicine in multiple sclerosis. Multiple Sclerosis Journal. 26(9). 1064–1073. 14 indexed citations
20.
Pellegrini, Fabio, Massimiliano Copetti, Maria Pia Sormani, et al.. (2019). Predicting disability progression in multiple sclerosis: Insights from advanced statistical modeling. Multiple Sclerosis Journal. 26(14). 1828–1836. 15 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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