Federica Masuzzo

543 total citations · 1 hit paper
3 papers, 360 citations indexed

About

Federica Masuzzo is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Neurology. According to data from OpenAlex, Federica Masuzzo has authored 3 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pathology and Forensic Medicine, 1 paper in Molecular Biology and 1 paper in Neurology. Recurrent topics in Federica Masuzzo's work include Multiple Sclerosis Research Studies (2 papers), Ginseng Biological Effects and Applications (1 paper) and Garlic and Onion Studies (1 paper). Federica Masuzzo is often cited by papers focused on Multiple Sclerosis Research Studies (2 papers), Ginseng Biological Effects and Applications (1 paper) and Garlic and Onion Studies (1 paper). Federica Masuzzo collaborates with scholars based in Italy and United States. Federica Masuzzo's co-authors include Daniel S. Reich, Joan Ohayon, Pascal Sati, Govind Nair, Hadar Kolb, Tianxia Wu, Martina Absinta, Varun Sethi, Irene Cortese and Marinella Clerico and has published in prestigious journals such as Frontiers in Immunology, Nutrients and JAMA Neurology.

In The Last Decade

Federica Masuzzo

3 papers receiving 357 citations

Hit Papers

Association of Chronic Active Multiple Sclerosis Lesions ... 2019 2026 2021 2023 2019 100 200 300

Peers

Federica Masuzzo
J Furby United Kingdom
Subhash Tummala United States
Federica Masuzzo
Citations per year, relative to Federica Masuzzo Federica Masuzzo (= 1×) peers Alberto Calvi

Countries citing papers authored by Federica Masuzzo

Since Specialization
Citations

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

Fields of papers citing papers by Federica Masuzzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Masuzzo

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

All Works

3 of 3 papers shown
2.
Maglione, Alessandro, et al.. (2023). Feeding the gut microbiome: impact on multiple sclerosis. Frontiers in Immunology. 14. 1176016–1176016. 22 indexed citations
3.
Absinta, Martina, Pascal Sati, Federica Masuzzo, et al.. (2019). Association of Chronic Active Multiple Sclerosis Lesions With Disability In Vivo. JAMA Neurology. 76(12). 1474–1474. 334 indexed citations breakdown →

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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