Rachida Guennoun
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Behavioral Neuroscience top 0.2%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Co-authors
- Michaël SchumacherAlejandro F. De NicolaFlorencia LabombardaMarı́a Claudia González DeniselleSusana GonzálezPhilippe LièreDonald G. SteinLaura Garay
- Topics
- Stress Responses and Cortisol (26 papers)Neurogenesis and neuroplasticity mechanisms (22 papers)Neuroinflammation and Neurodegeneration Mechanisms (21 papers)
- Partner nations
- FranceArgentinaUnited States
In The Last Decade
Rachida Guennoun
90 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 119
- Cellular and Molecular Neuroscience 1.7k
- Molecular Biology 1.3k
- Behavioral Neuroscience 1.2k
- Genetics 1.1k
- Endocrinology, Diabetes and Metabolism 1.1k
Countries citing papers authored by Rachida Guennoun
This map shows the geographic impact of Rachida Guennoun'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 Rachida Guennoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachida Guennoun more than expected).
Fields of papers citing papers by Rachida Guennoun
This network shows the impact of papers produced by Rachida Guennoun. 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 Rachida Guennoun. The network helps show where Rachida Guennoun may publish in the future.
Co-authorship network of co-authors of Rachida Guennoun
This figure shows the co-authorship network connecting the top 25 collaborators of Rachida Guennoun. A scholar is included among the top collaborators of Rachida Guennoun 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 Rachida Guennoun. Rachida Guennoun 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 | 13 | |
| 3 | 3 | |
| 4 | 20 | |
| 5 | 8 | |
| 6 | 57 | |
| 7 | 116 | |
| 8 | 103 | |
| 9 | 108 | |
| 10 | 8 | |
| 11 | Progesterone and the nervous system | 1 |
| 12 | 134 | |
| 13 | 82 | |
| 14 | 26 | |
| 15 | 13 | |
| 16 | 50 | |
| 17 | 50 | |
| 18 | 25 | |
| 19 | 63 | |
| 20 | 58 |
About Rachida Guennoun
Rachida Guennoun is a scholar working on Behavioral Neuroscience, Developmental Neuroscience and Neurology, having authored 91 papers that have together received 5.7k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (26 papers), Neurogenesis and neuroplasticity mechanisms (22 papers) and Neuroinflammation and Neurodegeneration Mechanisms (21 papers). The work is most often cited by research in Behavioral Neuroscience (1.2k citations), Developmental Neuroscience (1.0k citations) and Neurology (855 citations). Rachida Guennoun has collaborated with scholars based in France, Argentina and United States. Frequent co-authors include Michaël Schumacher, Alejandro F. De Nicola, Florencia Labombarda, Marı́a Claudia González Deniselle, Susana González, Philippe Lière, Donald G. Stein, Laura Garay, Yvette Akwa and Françoise Robert. Their work appears in journals such as Science, Journal of Neuroscience and Endocrine Reviews.
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.