Tobias Brambrink
- Molecular Biology top 0.5%
- Genetics top 2%
- Cancer Research top 2%
- Surgery top 5%
- Physiology top 5%
- Co-authors
- Rudolf JaenischMarius WernigAlexander MeissnerRuth K. ForemanKonrad HochedlingerB BernsteinManching KuStuart S. Levine
- Topics
- Pluripotent Stem Cells Research (9 papers)CRISPR and Genetic Engineering (6 papers)Epigenetics and DNA Methylation (4 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Tobias Brambrink
13 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 6.7k
- Genetics 976
- Cancer Research 868
- Surgery 743
- Physiology 587
Countries citing papers authored by Tobias Brambrink
This map shows the geographic impact of Tobias Brambrink'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 Tobias Brambrink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Brambrink more than expected).
Fields of papers citing papers by Tobias Brambrink
This network shows the impact of papers produced by Tobias Brambrink. 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 Tobias Brambrink. The network helps show where Tobias Brambrink may publish in the future.
Co-authorship network of co-authors of Tobias Brambrink
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Brambrink. A scholar is included among the top collaborators of Tobias Brambrink 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 Tobias Brambrink. Tobias Brambrink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sequential Expression of Pluripotency Markers during Direct Reprogramming of Mouse Somatic Cellsbreakdown → | 612 |
| 2 | Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cellsbreakdown → | 1104 |
| 3 | 31 | |
| 4 | 12 | |
| 5 | Treatment of Sickle Cell Anemia Mouse Model with iPS Cells Generated from Autologous Skinbreakdown → | 1038 |
| 6 | In vitro reprogramming of fibroblasts into a pluripotent ES-cell-like statebreakdown → | 1950 |
| 7 | 151 | |
| 8 | 7 | |
| 9 | Polycomb complexes repress developmental regulators in murine embryonic stem cellsbreakdown → | 1998 |
| 10 | 185 | |
| 11 | 5 | |
| 12 | 124 | |
| 13 | 30 |
About Tobias Brambrink
Tobias Brambrink is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 7.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (6 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Molecular Biology (6.7k citations), Cancer Research (868 citations) and Developmental Neuroscience (207 citations). Tobias Brambrink has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Rudolf Jaenisch, Marius Wernig, Alexander Meissner, Ruth K. Foreman, Konrad Hochedlinger, B Bernstein, Manching Ku, Stuart S. Levine, Richard A. Young and George W. Bell. Their work appears in journals such as Nature, Science and Cell.
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.