Véronique Paban
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Social Psychology top 10%
- Co-authors
- Béatrice Alescio‐LautierCaroline ChambonBernard François MichelBernard Soumireu-MouratClaude TouzetFlorence FauvelleMahmoud HassanAbdessadek El Ahmadi
- Topics
- Memory and Neural Mechanisms (12 papers)Functional Brain Connectivity Studies (9 papers)Neuroscience and Neuropharmacology Research (7 papers)
- Journals
- NeuroImageBrain ResearchNeuroscience
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Véronique Paban
34 papers receiving 752 citations
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 282
- Psychiatry and Mental health 196
- Cellular and Molecular Neuroscience 150
- Molecular Biology 116
- Social Psychology 110
Countries citing papers authored by Véronique Paban
This map shows the geographic impact of Véronique Paban'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 Véronique Paban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Véronique Paban more than expected).
Fields of papers citing papers by Véronique Paban
This network shows the impact of papers produced by Véronique Paban. 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 Véronique Paban. The network helps show where Véronique Paban may publish in the future.
Co-authorship network of co-authors of Véronique Paban
This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Paban. A scholar is included among the top collaborators of Véronique Paban 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 Véronique Paban. Véronique Paban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | 21 | |
| 8 | 48 | |
| 9 | 11 | |
| 10 | 60 | |
| 11 | 9 | |
| 12 | 37 | |
| 13 | 10 | |
| 14 | 21 | |
| 15 | 49 | |
| 16 | 11 | |
| 17 | 19 | |
| 18 | 9 | |
| 19 | 14 | |
| 20 | 12 |
About Véronique Paban
Véronique Paban is a scholar working on Cognitive Neuroscience, Developmental Neuroscience and Behavioral Neuroscience, having authored 35 papers that have together received 762 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (12 papers), Functional Brain Connectivity Studies (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Behavioral Neuroscience (59 citations), Developmental Neuroscience (63 citations) and Cognitive Neuroscience (282 citations). Véronique Paban has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Béatrice Alescio‐Lautier, Caroline Chambon, Bernard François Michel, Bernard Soumireu-Mourat, Claude Touzet, Florence Fauvelle, Mahmoud Hassan, Abdessadek El Ahmadi, Colette Devigne and Julien Modolo. Their work appears in journals such as NeuroImage, Brain Research 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.