Laura Cacciaguerra
- Pathology and Forensic Medicine top 2%
- Neurology top 2%
- Cellular and Molecular Neuroscience top 10%
- Rheumatology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Massimo FilippiMaria A. RoccaEoin P. FlanaganElisabetta PaganiPaolo PreziosaElia SechiAntonio CarotenutoSean J. Pittock
- Topics
- Multiple Sclerosis Research Studies (48 papers)Peripheral Neuropathies and Disorders (22 papers)Advanced Neuroimaging Techniques and Applications (12 papers)
- Journals
- BrainNeurologyAnnals of Neurology
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Laura Cacciaguerra
53 papers receiving 862 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Pathology and Forensic Medicine 547
- Neurology 465
- Cellular and Molecular Neuroscience 194
- Rheumatology 188
- Radiology, Nuclear Medicine and Imaging 135
Countries citing papers authored by Laura Cacciaguerra
This map shows the geographic impact of Laura Cacciaguerra'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 Cacciaguerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Cacciaguerra more than expected).
Fields of papers citing papers by Laura Cacciaguerra
This network shows the impact of papers produced by Laura Cacciaguerra. 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 Cacciaguerra. The network helps show where Laura Cacciaguerra may publish in the future.
Co-authorship network of co-authors of Laura Cacciaguerra
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Cacciaguerra. A scholar is included among the top collaborators of Laura Cacciaguerra 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 Cacciaguerra. Laura Cacciaguerra 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 28 | |
| 10 | 11 | |
| 11 | 20 | |
| 12 | 4 | |
| 13 | 30 | |
| 14 | 17 | |
| 15 | 22 | |
| 16 | 4 | |
| 17 | 32 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Artificial Intelligence on Conventional Magnetic Resonance Images for the Diagnosis of Neuromyelitis Optica Spectrum Disorders | 1 |
About Laura Cacciaguerra
Laura Cacciaguerra is a scholar working on Pathology and Forensic Medicine, Neurology and Developmental Neuroscience, having authored 61 papers that have together received 880 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (48 papers), Peripheral Neuropathies and Disorders (22 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). The work is most often cited by research in Neurology (465 citations), Pathology and Forensic Medicine (547 citations) and Rheumatology (188 citations). Laura Cacciaguerra has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Massimo Filippi, Maria A. Rocca, Eoin P. Flanagan, Elisabetta Pagani, Paolo Preziosa, Elia Sechi, Antonio Carotenuto, Sean J. Pittock, John J. Chen and A. Sebastian López‐Chiriboga. Their work appears in journals such as Brain, Neurology and Annals of Neurology.
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.