Laura Biagi
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Neurology top 5%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Michela TosettiMaria Concetta MorroneMirco CosottiniMauro CostagliSofia CrespiGiovanni CioniAndrea GuzzettaDaniela Frosini
- Topics
- Advanced MRI Techniques and Applications (28 papers)Advanced Neuroimaging Techniques and Applications (17 papers)Visual perception and processing mechanisms (13 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Laura Biagi
78 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 104
- Cognitive Neuroscience 941
- Radiology, Nuclear Medicine and Imaging 639
- Neurology 436
- Psychiatry and Mental health 358
- Cellular and Molecular Neuroscience 258
Countries citing papers authored by Laura Biagi
This map shows the geographic impact of Laura Biagi'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 Laura Biagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Biagi more than expected).
Fields of papers citing papers by Laura Biagi
This network shows the impact of papers produced by Laura Biagi. 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 Laura Biagi. The network helps show where Laura Biagi may publish in the future.
Co-authorship network of co-authors of Laura Biagi
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Biagi. A scholar is included among the top collaborators of Laura Biagi 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 Laura Biagi. Laura Biagi 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 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 4 | |
| 12 | 64 | |
| 13 | 17 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 37 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Spatial attention modulates the spatiotopicity of human MT complex | 5 |
| 20 | THE DESIGN AND FABRICATION OF AN ION ACCELERATOR FOR TFTR-TYPE NEUTRAL BEAM SYSTEMS | 1 |
About Laura Biagi
Laura Biagi is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (28 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Visual perception and processing mechanisms (13 papers). The work is most often cited by research in Cognitive Neuroscience (941 citations), Neurology (436 citations) and Radiology, Nuclear Medicine and Imaging (639 citations). Laura Biagi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Michela Tosetti, Maria Concetta Morrone, Mirco Cosottini, Mauro Costagli, Sofia Crespi, Giovanni Cioni, Andrea Guzzetta, Daniela Frosini, Giovanni d’Avossa and David C. Burr. Their work appears in journals such as Journal of Neuroscience, 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.