Norbert Topf
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neural Engineering
- Nuclear Receptors and Signaling
- Nerve injury and regeneration
Papers in
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- Neuroscience and Neuropharmacology Research 4
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- Cancer Research and Treatments 3
- Co-authors
- Neil L. Harrison (5 shared papers)Juan L. Brusés (2 shared papers)Lorenz Studer (2 shared papers)Tiziano Barberi (2 shared papers)Viviane S. Tabar (2 shared papers)Maria Eulalia Rubio (2 shared papers)Anselme L. Perrier (2 shared papers)Malcolm A.S. Moore (3 shared papers)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Blood (2 papers)Journal of Investigative Dermatology (1 paper)Diseases of the Colon & Rectum (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Norbert Topf
12 papers receiving 1.6k citations
Norbert Topf's Hit Papers
Peers
Comparison fields: 5 of 86
- Developmental Neuroscience 436
- Cellular and Molecular Neuroscience 640
- Molecular Biology 1.3k
- Genetics 132
- Genetics 137
Countries citing papers authored by Norbert Topf
This map shows the geographic impact of Norbert Topf'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 Norbert Topf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Topf more than expected).
Fields of papers citing papers by Norbert Topf
This network shows the impact of papers produced by Norbert Topf. 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 Norbert Topf. The network helps show where Norbert Topf may publish in the future.
Co-authors
The 25 scholars most cited alongside Norbert Topf, 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 | Derivation of midbrain dopamine neurons from human embryonic stem cells Hit paper breakdown → | 2004 | 798 |
| 2 | 2003 | 521 | |
| 3 | 1998 | 66 | |
| 4 | 2005 | 55 | |
| 5 | 2006 | 52 | |
| 6 | 1990 | 50 | |
| 7 | 2003 | 39 | |
| 8 | 1999 | 36 | |
| 9 | 1999 | 20 | |
| 10 | 1999 | 8 | |
| 11 | 2003 | 4 | |
| 12 | 2003 | 3 |
About Norbert Topf
Norbert Topf is a scholar working on Cellular and Molecular Neuroscience, Biotechnology, Developmental Neuroscience, Genetics and Molecular Biology, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Cancer Research and Treatments (3 papers), Virus-based gene therapy research (3 papers), Pluripotent Stem Cells Research (2 papers), Ion channel regulation and function (2 papers), RNA Interference and Gene Delivery (2 papers), CRISPR and Genetic Engineering (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Developmental Neuroscience (436 citations), Cellular and Molecular Neuroscience (640 citations), Molecular Biology (1.3k citations), Genetics (132 citations) and Genetics (137 citations). Norbert Topf has collaborated with scholars based in United States and Germany. Frequent co-authors include Neil L. Harrison, Juan L. Brusés, Lorenz Studer, Tiziano Barberi, Viviane S. Tabar, Maria Eulalia Rubio, Anselme L. Perrier, Malcolm A.S. Moore, Noel Ylagan Calingasan and Hyojin Lee. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Blood, Journal of Investigative Dermatology, Diseases of the Colon & Rectum and Nature Biotechnology.
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.