Federica Agosta
- Neurology top 0.05%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Cognitive Neuroscience top 0.2%
- Psychiatry and Mental health top 0.2%
- Physiology top 0.5%
- Co-authors
- Massimo FilippiElisa CanuGıancarlo ComıMaria A. RoccaMassimiliano CopettiAndrea FaliniGiuseppe MagnaniElisabetta Pagani
- Topics
- Advanced Neuroimaging Techniques and Applications (112 papers)Parkinson's Disease Mechanisms and Treatments (103 papers)Amyotrophic Lateral Sclerosis Research (73 papers)
- Cited by
- NeurologyCognitive Neuroscience
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- ItalySerbiaUnited States
In The Last Decade
Federica Agosta
337 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Neurology 6.4k
- Radiology, Nuclear Medicine and Imaging 4.6k
- Cognitive Neuroscience 4.3k
- Psychiatry and Mental health 2.9k
- Physiology 2.5k
Countries citing papers authored by Federica Agosta
This map shows the geographic impact of Federica Agosta'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 Agosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Agosta more than expected).
Fields of papers citing papers by Federica Agosta
This network shows the impact of papers produced by Federica Agosta. 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 Agosta. The network helps show where Federica Agosta may publish in the future.
Co-authorship network of co-authors of Federica Agosta
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Agosta. A scholar is included among the top collaborators of Federica Agosta 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 Agosta. Federica Agosta 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 27 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 17 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 33 | |
| 19 | 237 | |
| 20 | Optimising diffusion measurements for large-scale, multicentre multiple sclerosis trials: a pan-European study | 1 |
About Federica Agosta
Federica Agosta is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 350 papers that have together received 15.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (112 papers), Parkinson's Disease Mechanisms and Treatments (103 papers) and Amyotrophic Lateral Sclerosis Research (73 papers). The work is most often cited by research in Neurology (6.4k citations), Neurology (1.9k citations) and Cognitive Neuroscience (4.3k citations). Federica Agosta has collaborated with scholars based in Italy, Serbia and United States. Frequent co-authors include Massimo Filippi, Elisa Canu, Gıancarlo Comı, Maria A. Rocca, Massimiliano Copetti, Andrea Falini, Giuseppe Magnani, Elisabetta Pagani, Vladimir Kostić and Paola Valsasina. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.