Anke Brederlau
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Nuclear Receptors and Signaling
- Neuroscience and Neural Engineering
Papers in
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- Pluripotent Stem Cells Research 3
- TGF-β signaling in diseases 2
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- Neurogenesis and neuroplasticity mechanisms 5
- Co-authors
- Peter S. Eriksson (3 shared papers)Keiko Funa (3 shared papers)Muna Elmi (2 shared papers)Ulf Nannmark (2 shared papers)Sergey V. Anisimov (1 shared paper)Jun Takahashi (1 shared paper)Jiayi Li (1 shared paper)Manolo Carta (1 shared paper)
In The Last Decade
Anke Brederlau
12 papers receiving 730 citations
Peers
Comparison fields: 5 of 63
- Developmental Neuroscience 190
- Cellular and Molecular Neuroscience 315
- Genetics 75
- Endocrinology, Diabetes and Metabolism 115
- Molecular Biology 431
Countries citing papers authored by Anke Brederlau
This map shows the geographic impact of Anke Brederlau'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 Anke Brederlau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Brederlau more than expected).
Fields of papers citing papers by Anke Brederlau
This network shows the impact of papers produced by Anke Brederlau. 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 Anke Brederlau. The network helps show where Anke Brederlau may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Brederlau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 344 | |
| 2 | 2005 | 161 | |
| 3 | 2001 | 76 | |
| 4 | 2003 | 30 | |
| 5 | 2002 | 28 | |
| 6 | 2004 | 22 | |
| 7 | 2020 | 21 | |
| 8 | 2011 | 14 | |
| 9 | BMP-6 and retinoic acid synergistically differentiate the IMR-32 human neuroblastoma cells. | 2003 | 14 |
| 10 | 2012 | 11 | |
| 11 | 2014 | 11 | |
| 12 | Long-term chimerism in liver transplantation: no evidence for immunological relevance but requirement for graft persistence. | 1995 | 8 |
About Anke Brederlau
Anke Brederlau is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Surgery and Neurology, having authored 12 papers that have together received 740 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Pluripotent Stem Cells Research (3 papers), MicroRNA in disease regulation (2 papers), TGF-β signaling in diseases (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuroscience and Neural Engineering (2 papers), Pancreatic function and diabetes (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Developmental Neuroscience (190 citations), Cellular and Molecular Neuroscience (315 citations), Genetics (75 citations), Endocrinology, Diabetes and Metabolism (115 citations) and Molecular Biology (431 citations). Anke Brederlau has collaborated with scholars based in Sweden, Japan and Canada. Frequent co-authors include Peter S. Eriksson, Keiko Funa, Muna Elmi, Ulf Nannmark, Sergey V. Anisimov, Jun Takahashi, Jiayi Li, Manolo Carta, P. Brundin and Yoshiki Sasai. Their work appears in journals such as Molecular Biology of the Cell, Stem Cells, Journal of Neuroscience, Analytical Chemistry and Stem Cell Reports.
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.