Ute Häussler
- Cellular and Molecular Neuroscience top 2%
- Developmental Neuroscience top 0.5%
- Molecular Biology
- Psychiatry and Mental health top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Carola A. HaasKlaus FabelOnur BaşakVerdon TaylorSebastian LugertPhilip KnucklesGerd KempermannMagdalena Götz
- Topics
- Neuroscience and Neuropharmacology Research (24 papers)Neurogenesis and neuroplasticity mechanisms (14 papers)Epilepsy research and treatment (8 papers)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Ute Häussler
30 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 1.0k
- Developmental Neuroscience 646
- Molecular Biology 625
- Psychiatry and Mental health 316
- Cognitive Neuroscience 307
Countries citing papers authored by Ute Häussler
This map shows the geographic impact of Ute Häussler'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 Ute Häussler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Häussler more than expected).
Fields of papers citing papers by Ute Häussler
This network shows the impact of papers produced by Ute Häussler. 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 Ute Häussler. The network helps show where Ute Häussler may publish in the future.
Co-authorship network of co-authors of Ute Häussler
This figure shows the co-authorship network connecting the top 25 collaborators of Ute Häussler. A scholar is included among the top collaborators of Ute Häussler 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 Ute Häussler. Ute Häussler 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 | 4 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 40 | |
| 8 | 22 | |
| 9 | 8 | |
| 10 | 46 | |
| 11 | 4 | |
| 12 | 238 | |
| 13 | 35 | |
| 14 | 16 | |
| 15 | 28 | |
| 16 | 21 | |
| 17 | 19 | |
| 18 | 157 | |
| 19 | Quiescent and Active Hippocampal Neural Stem Cells with Distinct Morphologies Respond Selectively to Physiological and Pathological Stimuli and Agingbreakdown → | 549 |
| 20 | 41 |
About Ute Häussler
Ute Häussler is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Neurogenesis and neuroplasticity mechanisms (14 papers) and Epilepsy research and treatment (8 papers). The work is most often cited by research in Developmental Neuroscience (646 citations), Cellular and Molecular Neuroscience (1.0k citations) and Neurology (262 citations). Ute Häussler has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Carola A. Haas, Klaus Fabel, Onur Başak, Verdon Taylor, Sebastian Lugert, Philip Knuckles, Gerd Kempermann, Magdalena Götz, Claudio Giachino and Ulrich Egert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.
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.