Norbert Topf
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
-
- Neuroscience and Neural Engineering
- Nuclear Receptors and Signaling
- Nerve injury and regeneration
Papers in
-
- Pluripotent Stem Cells Research 2
- RNA Interference and Gene Delivery 2
-
- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 1
- Co-authors
- Neil L. Harrison (5 shared papers)Tiziano Barberi (2 shared papers)Lorenz Studer (2 shared papers)Viviane Tabar (2 shared papers)Juan L. Brusés (2 shared papers)María E. Rubio (2 shared papers)Anselme L. Perrier (2 shared papers)Malcolm A.S. Moore (3 shared papers)
- Journals
- Blood (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Diseases of the Colon & Rectum (1 paper)Proceedings of the National Academy of Sciences (1 paper)Gene Therapy (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Norbert Topf
10 papers receiving 1.5k citations
Norbert Topf's Hit Papers
Peers
Comparison fields: 5 of 81
- Developmental Neuroscience 410
- Cellular and Molecular Neuroscience 598
- Molecular Biology 1.2k
- Genetics 122
- Genetics 129
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 | 747 |
| 2 | 2003 | 485 | |
| 3 | 1998 | 65 | |
| 4 | 2005 | 51 | |
| 5 | 2006 | 48 | |
| 6 | 1990 | 47 | |
| 7 | 2003 | 37 | |
| 8 | 1999 | 33 | |
| 9 | 1999 | 18 | |
| 10 | 1999 | 5 |
About Norbert Topf
Norbert Topf is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Biotechnology and Developmental Neuroscience, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Cancer Research and Treatments (3 papers), Virus-based gene therapy research (3 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers), Neuroscience and Neural Engineering (1 paper), Cardiac electrophysiology and arrhythmias (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (410 citations), Cellular and Molecular Neuroscience (598 citations), Molecular Biology (1.2k citations), Genetics (122 citations) and Genetics (129 citations). Norbert Topf has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Neil L. Harrison, Tiziano Barberi, Lorenz Studer, Viviane Tabar, Juan L. Brusés, María E. Rubio, Anselme L. Perrier, Malcolm A.S. Moore, Péter Klivènyi and Hibiki Kawamata. Their work appears in journals such as Blood, Journal of Pharmacology and Experimental Therapeutics, Diseases of the Colon & Rectum, Proceedings of the National Academy of Sciences and Gene Therapy.
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.