Farahnaz Sananbenesi
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Genetics top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- André FischerLi‐Huei TsaiMatthew M. DobbinXinyu WangRoberto Carlos Agís‐BalboaSusanne BurkhardtJelena RadulovićChristina Schrick
- Topics
- Neuroscience and Neuropharmacology Research (8 papers)Memory and Neural Mechanisms (8 papers)Genetics and Neurodevelopmental Disorders (8 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Farahnaz Sananbenesi
33 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 3.1k
- Cellular and Molecular Neuroscience 1.3k
- Physiology 1.2k
- Genetics 1.1k
- Cognitive Neuroscience 653
Countries citing papers authored by Farahnaz Sananbenesi
This map shows the geographic impact of Farahnaz Sananbenesi'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 Farahnaz Sananbenesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farahnaz Sananbenesi more than expected).
Fields of papers citing papers by Farahnaz Sananbenesi
This network shows the impact of papers produced by Farahnaz Sananbenesi. 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 Farahnaz Sananbenesi. The network helps show where Farahnaz Sananbenesi may publish in the future.
Co-authorship network of co-authors of Farahnaz Sananbenesi
This figure shows the co-authorship network connecting the top 25 collaborators of Farahnaz Sananbenesi. A scholar is included among the top collaborators of Farahnaz Sananbenesi 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 Farahnaz Sananbenesi. Farahnaz Sananbenesi 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 13 | |
| 7 | 29 | |
| 8 | 142 | |
| 9 | 268 | |
| 10 | 290 | |
| 11 | 120 | |
| 12 | 295 | |
| 13 | SIRT1 deacetylase protects against neurodegeneration in models for Alzheimer's disease and amyotrophic lateral sclerosisbreakdown → | 863 |
| 14 | Recovery of learning and memory is associated with chromatinremodellingbreakdown → | 923 |
| 15 | 5 | |
| 16 | 72 | |
| 17 | 92 | |
| 18 | 11 | |
| 19 | 33 | |
| 20 | 93 |
About Farahnaz Sananbenesi
Farahnaz Sananbenesi is a scholar working on Biological Psychiatry, Developmental Neuroscience and Neurology, having authored 37 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (8 papers) and Genetics and Neurodevelopmental Disorders (8 papers). The work is most often cited by research in Biological Psychiatry (368 citations), Geriatrics and Gerontology (520 citations) and Developmental Neuroscience (539 citations). Farahnaz Sananbenesi has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include André Fischer, Li‐Huei Tsai, Matthew M. Dobbin, Xinyu Wang, Roberto Carlos Agís‐Balboa, Susanne Burkhardt, Jelena Radulović, Christina Schrick, Nambirajan Govindarajan and Ivana Delalle. Their work appears in journals such as Nature, Science and Neuron.
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.