Federica Lucantonio

1.2k citations
16 papers · 864 indexed · h-index 12
Topics
Memory and Neural Mechanisms (11 papers)Neurotransmitter Receptor Influence on Behavior (7 papers)Neuroscience and Neuropharmacology Research (6 papers)

In The Last Decade

Federica Lucantonio

15 papers receiving 851 citations

Peers

Federica Lucantonio
Comparison fields: 5 of 56
  • Cellular and Molecular Neuroscience 558
  • Cognitive Neuroscience 543
  • Molecular Biology 186
  • Social Psychology 113
  • Behavioral Neuroscience 89
Replace T. H. C. Cheung with:
T. H. C. Cheung United Kingdom
Joshua L. Jones United States
Kathryn A. Burke United States
Elizabeth S. Cogan United States
Emanuele Seu Italy
Amy J. Tindell United States
Ian A. Mendez United States
Joost Wiskerke Netherlands
Mieke van Holstein Netherlands
Sasha E. B. Gibbs United States
Federica Lucantonio relative to T. H. C. Cheung United Kingdom T. H. C. Cheung's profile →
Citations per field
00.5×2.6×
T. H. C. Cheung · 1×
Citations per year

Countries citing papers authored by Federica Lucantonio

Since Specialization
Citations

This map shows the geographic impact of Federica Lucantonio'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 Lucantonio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Lucantonio more than expected).

Fields of papers citing papers by Federica Lucantonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federica Lucantonio. 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 Lucantonio. The network helps show where Federica Lucantonio may publish in the future.

Co-authorship network of co-authors of Federica Lucantonio

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Lucantonio. A scholar is included among the top collaborators of Federica Lucantonio 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 Lucantonio. Federica Lucantonio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 3
3 8
4 40
5 34
6 26
7 115
8 50
9 21
10 59
11 69
12 155
13 167
14 8
15 72
16 37

About Federica Lucantonio

Federica Lucantonio is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 16 papers that have together received 864 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (11 papers), Neurotransmitter Receptor Influence on Behavior (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (558 citations), Cognitive Neuroscience (543 citations) and Behavioral Neuroscience (89 citations). Federica Lucantonio has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Geoffrey Schoenbaum, Yael Niv, Yavin Shaham, Daniele Caprioli, Michael A. McDannald, Kathryn A. Burke, Thomas A. Stalnaker, Yuji K. Takahashi, Paolo Nencini and Aldo Badiani. Their work appears in journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

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.

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