Laetitia Cistarelli
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Pharmacology top 5%
- Cognitive Neuroscience top 10%
- Psychiatry and Mental health top 5%
- Co-authors
- Alain P. GobertJean‐Michel RivetMark J. MillanChristophe MelonAdrian Newman‐TancrediValérie AudinotF. LejeuneJean‐Paul Nicolas
- Topics
- Neurotransmitter Receptor Influence on Behavior (15 papers)Receptor Mechanisms and Signaling (10 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Partner nations
- FranceSwedenNetherlands
In The Last Decade
Laetitia Cistarelli
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 573
- Pharmacology 269
- Cognitive Neuroscience 206
- Psychiatry and Mental health 205
Countries citing papers authored by Laetitia Cistarelli
This map shows the geographic impact of Laetitia Cistarelli'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 Cistarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laetitia Cistarelli more than expected).
Fields of papers citing papers by Laetitia Cistarelli
This network shows the impact of papers produced by Laetitia Cistarelli. 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 Cistarelli. The network helps show where Laetitia Cistarelli may publish in the future.
Co-authorship network of co-authors of Laetitia Cistarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Laetitia Cistarelli. A scholar is included among the top collaborators of Laetitia Cistarelli 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 Laetitia Cistarelli. Laetitia Cistarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 34 | |
| 4 | 114 | |
| 5 | 1 | |
| 6 | 45 | |
| 7 | 47 | |
| 8 | 17 | |
| 9 | 271 | |
| 10 | 92 | |
| 11 | 178 | |
| 12 | 35 | |
| 13 | 114 | |
| 14 | 58 | |
| 15 | 85 | |
| 16 | 18 | |
| 17 | S 15535, a novel benzodioxopiperazine ligand of serotonin (5-HT)1A receptors: I. Interaction with cloned human (h)5-HT1A, dopamine hD2/hD3 and h alpha2A-adrenergic receptors in relation to modulation of cortical monoamine release and activity in models of potential antidepressant activity. | 38 |
| 18 | 48 | |
| 19 | 99 |
About Laetitia Cistarelli
Laetitia Cistarelli is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Behavioral Neuroscience, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (15 papers), Receptor Mechanisms and Signaling (10 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Biological Psychiatry (102 citations) and Behavioral Neuroscience (87 citations). Laetitia Cistarelli has collaborated with scholars based in France, Sweden and Netherlands. Frequent co-authors include Alain P. Gobert, Jean‐Michel Rivet, Mark J. Millan, Mark J. Millan, Christophe Melon, Adrian Newman‐Tancredi, Valérie Audinot, F. Lejeune, Jean‐Paul Nicolas and Anne Dekeyne. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and 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.