Laetitia Fellini

452 citations
11 papers · 375 · h-index 9

Impact in

Papers in

Laetitia Fellini

11 papers receiving 371 citations

Peers

Laetitia Fellini
Comparison fields: 5 of 56
  • Biological Psychiatry 45
  • Cellular and Molecular Neuroscience 219
  • Cognitive Neuroscience 184
  • Behavioral Neuroscience 33
  • Developmental Neuroscience 25
Replace David Lukacsovich with:
David Lukacsovich Switzerland
Keiichiro Minatohara Japan
Daniel C. Lowes United States
Shu-Xia Cao China
Thorsten Bus Germany
Alina Elkobi Israel
Cristina Sánchez‐Puelles Spain
Sophie Masneuf Switzerland
Yu Kasugai Austria
Laetitia Fellini relative to David Lukacsovich Switzerland David Lukacsovich's profile →
Citations per field
00.5×3.5×
David Lukacsovich · 1×
Citations per year

Countries citing papers authored by Laetitia Fellini

Since Specialization
Citations

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

Fields of papers citing papers by Laetitia Fellini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Laetitia Fellini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laetitia Fellini Line = papers co-authored together Laetitia Fellini links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011149
2 201440
3 200934
4 200932
5 200731
6 200625
7 201323
8 201422
9 201712
10 20116
11
How Can a Touch-Screen Based Visual Discrimination Help to Better Characterize Rodent Models of Schizophrenia?
20121

About Laetitia Fellini

Laetitia Fellini is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Molecular Biology and Cell Biology, having authored 11 papers that have together received 375 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Receptor Mechanisms and Signaling (2 papers), Zebrafish Biomedical Research Applications (2 papers), Child and Animal Learning Development (2 papers), interferon and immune responses (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Biological Psychiatry (45 citations), Cellular and Molecular Neuroscience (219 citations), Cognitive Neuroscience (184 citations), Behavioral Neuroscience (33 citations) and Developmental Neuroscience (25 citations). Laetitia Fellini has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include John Talpos, Thomas Steckler, Fabio Morellini, Mark D. Tricklebank, François Gastambide, Niels Plath, Gary Gilmour, Sophie Dix, Melitta Schachner and Pascal Roullet. Their work appears in journals such as Learning & Memory, Hippocampus, Behavioural Brain Research, Neuropharmacology and Journal of 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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