Francesca Cacucci
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 2%
- Molecular Biology
- Sensory Systems top 2%
- Co-authors
- Neil BurgessThomas J. WillsJohn O’KeefeColin LeverGuifen ChenJohn A. KingYi LüTom T. Hartley
- Topics
- Memory and Neural Mechanisms (33 papers)Neuroscience and Neuropharmacology Research (29 papers)Sleep and Wakefulness Research (7 papers)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Francesca Cacucci
36 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cognitive Neuroscience 2.3k
- Cellular and Molecular Neuroscience 1.7k
- Neurology 309
- Molecular Biology 289
- Sensory Systems 263
Countries citing papers authored by Francesca Cacucci
This map shows the geographic impact of Francesca Cacucci'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 Francesca Cacucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Cacucci more than expected).
Fields of papers citing papers by Francesca Cacucci
This network shows the impact of papers produced by Francesca Cacucci. 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 Francesca Cacucci. The network helps show where Francesca Cacucci may publish in the future.
Co-authorship network of co-authors of Francesca Cacucci
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Cacucci. A scholar is included among the top collaborators of Francesca Cacucci 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 Francesca Cacucci. Francesca Cacucci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 45 | |
| 5 | 24 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 102 | |
| 9 | 78 | |
| 10 | 19 | |
| 11 | 45 | |
| 12 | 61 | |
| 13 | 55 | |
| 14 | 48 | |
| 15 | Abrupt shift in hippocampal place cell representation from square-like to circle-like in a morph box | 2 |
| 16 | 123 | |
| 17 | 332 | |
| 18 | 32 | |
| 19 | 262 | |
| 20 | Squaring the circle: place fields do not "remap" between environments which differ only in shape | 1 |
About Francesca Cacucci
Francesca Cacucci is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 36 papers that have together received 3.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (33 papers), Neuroscience and Neuropharmacology Research (29 papers) and Sleep and Wakefulness Research (7 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Cellular and Molecular Neuroscience (1.7k citations) and Sensory Systems (263 citations). Francesca Cacucci has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Neil Burgess, Thomas J. Wills, John O’Keefe, Colin Lever, Guifen Chen, John A. King, Yi Lü, Tom T. Hartley, Laurenz Muessig and Sarah Stewart. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.