Lauretta Passarelli
- Cognitive Neuroscience top 2%
- Social Psychology top 5%
- Neurology top 5%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Michela GamberiniPatrizia FattoriClaudio GallettiSophia BakolaMarcello G. P. RosaRossella BreveglieriGiuseppe LuppinoMino Zucchelli
- Topics
- Visual perception and processing mechanisms (13 papers)Motor Control and Adaptation (12 papers)Neural dynamics and brain function (10 papers)
- Partner nations
- ItalyAustraliaUnited States
In The Last Decade
Lauretta Passarelli
20 papers receiving 876 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 830
- Social Psychology 217
- Neurology 161
- Biomedical Engineering 109
- Radiology, Nuclear Medicine and Imaging 106
Countries citing papers authored by Lauretta Passarelli
This map shows the geographic impact of Lauretta Passarelli'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 Lauretta Passarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauretta Passarelli more than expected).
Fields of papers citing papers by Lauretta Passarelli
This network shows the impact of papers produced by Lauretta Passarelli. 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 Lauretta Passarelli. The network helps show where Lauretta Passarelli may publish in the future.
Co-authorship network of co-authors of Lauretta Passarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Lauretta Passarelli. A scholar is included among the top collaborators of Lauretta Passarelli 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 Lauretta Passarelli. Lauretta Passarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 4 | |
| 3 | 45 | |
| 4 | 11 | |
| 5 | 70 | |
| 6 | 58 | |
| 7 | 46 | |
| 8 | 24 | |
| 9 | 37 | |
| 10 | 23 | |
| 11 | 33 | |
| 12 | 28 | |
| 13 | 13 | |
| 14 | 21 | |
| 15 | 48 | |
| 16 | 85 | |
| 17 | 96 | |
| 18 | 147 | |
| 19 | Cortical connections of the dorso-medial visual areas V6 and V6A in the macaque monkey. | 1 |
| 20 | 74 |
About Lauretta Passarelli
Lauretta Passarelli is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 880 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (13 papers), Motor Control and Adaptation (12 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Cognitive Neuroscience (830 citations), Neurology (161 citations) and Social Psychology (217 citations). Lauretta Passarelli has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Michela Gamberini, Patrizia Fattori, Claudio Galletti, Sophia Bakola, Marcello G. P. Rosa, Rossella Breveglieri, Giuseppe Luppino, Mino Zucchelli, Kathleen J. Burman and Katrina H. Worthy. Their work appears in journals such as Nature Communications, Journal of Neuroscience and The Journal of Comparative 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.