Francesco Sforazzini
- Neurology top 1%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology top 10%
- Co-authors
- Alessandro GozziAngelo BifoneDavide RagozzinoCornelius T. GrossRosa Chiara PaolicelliFrancesca PaganiGiulia BolascoYang Zhan
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)Advanced MRI Techniques and Applications (8 papers)Medical Imaging Techniques and Applications (7 papers)
In The Last Decade
Francesco Sforazzini
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Neurology 614
- Cognitive Neuroscience 464
- Cellular and Molecular Neuroscience 282
- Radiology, Nuclear Medicine and Imaging 267
- Immunology 252
Countries citing papers authored by Francesco Sforazzini
This map shows the geographic impact of Francesco Sforazzini'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 Francesco Sforazzini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Sforazzini more than expected).
Fields of papers citing papers by Francesco Sforazzini
This network shows the impact of papers produced by Francesco Sforazzini. 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 Francesco Sforazzini. The network helps show where Francesco Sforazzini may publish in the future.
Co-authorship network of co-authors of Francesco Sforazzini
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Sforazzini. A scholar is included among the top collaborators of Francesco Sforazzini 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 Francesco Sforazzini. Francesco Sforazzini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 2 | |
| 9 | 35 | |
| 10 | 1 | |
| 11 | 15 | |
| 12 | 50 | |
| 13 | 17 | |
| 14 | 47 | |
| 15 | 1 | |
| 16 | 43 | |
| 17 | 77 | |
| 18 | Deficient neuron-microglia signaling results in impaired functional brain connectivity and social behaviorbreakdown → | 909 |
| 19 | Modular organization of mouse brain functional connectivity | 1 |
| 20 | 156 |
About Francesco Sforazzini
Francesco Sforazzini is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced MRI Techniques and Applications (8 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Biological Psychiatry (200 citations), Neurology (614 citations) and Developmental Neuroscience (177 citations). Francesco Sforazzini has collaborated with scholars based in Australia, Germany and Italy. Frequent co-authors include Alessandro Gozzi, Angelo Bifone, Davide Ragozzino, Cornelius T. Gross, Rosa Chiara Paolicelli, Francesca Pagani, Giulia Bolasco, Yang Zhan, Alexei L. Vyssotski and Laetitia Weinhard. Their work appears in journals such as Journal of Clinical Oncology, Nature Neuroscience and PLoS ONE.
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.