Silvia Farcito

10 papers receiving 410 citations

Hit Papers

Development of a new generation of high-resolution anatom...20142026201820222014100200300

Peers

Silvia Farcito
Comparison fields: 5 of 86
  • Biomedical Engineering 222
  • Radiology, Nuclear Medicine and Imaging 161
  • Electrical and Electronic Engineering 110
  • Biophysics 108
  • Cellular and Molecular Neuroscience 41
Replace Christopher T. Sica with:
Christopher T. Sica United States
Marie‐Christine Gosselin Switzerland
Gustav Grafström Sweden
H. Bassen United States
Michele Triventi Italy
Kiyoko Sakurai Japan
Yoshitsugu Kamimura Japan
Devashish Shrivastava United States
Ali Çağlar Özen Germany
Zhenyue Chen Switzerland
Silvia Farcito relative to Christopher T. Sica United States Christopher T. Sica's profile →
Citations per field
00.5×3.3×
Christopher T. Sica · 1×
Citations per year

Countries citing papers authored by Silvia Farcito

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Farcito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Farcito

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

All Works

11 of 11 papers shown
#WorkIndexed citations
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Development of a new generation of high-resolution anatomical models for medical device evaluation: the Virtual Population 3.0breakdown →
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About Silvia Farcito

Silvia Farcito is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cell Biology, having authored 11 papers that have together received 412 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Biophysics (108 citations), Radiology, Nuclear Medicine and Imaging (161 citations) and Biomedical Engineering (222 citations). Silvia Farcito has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Niels Kuster, Bryn Lloyd, Esra Neufeld, Isabel Hilber, Marie‐Christine Gosselin, Eveline Huber, Maria Jedensjö, Dominik Szczerba, Wolfgang Kainz and Livia Gerber. Their work appears in journals such as Magnetic Resonance in Medicine, PLoS Computational Biology and Physics in Medicine and Biology.

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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