Stefan Braam
Impact in
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Congenital heart defects research
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- Neuroscience and Neural Engineering
Papers in
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- Neuroscience and Neural Engineering 9
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- Cardiac electrophysiology and arrhythmias 9
- Cardiomyopathy and Myosin Studies 3
- Co-authors
- Christine L. MummeryRobert PassierLeon G.J. TertoolenDennis Van HoofAlbert J. R. HeckJeroen KrijgsveldThomas MeyerAnja van de Stolpe
- Journals
- Journal of Proteome Research (2 papers)Stem Cell Research (2 papers)Stem Cells (2 papers)Cancer Gene Therapy (1 paper)Trends in Pharmacological Sciences (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Stefan Braam
35 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 440
- Biomedical Engineering 708
- Cardiology and Cardiovascular Medicine 343
- Surgery 544
Countries citing papers authored by Stefan Braam
This map shows the geographic impact of Stefan Braam'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 Stefan Braam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Braam more than expected).
Fields of papers citing papers by Stefan Braam
This network shows the impact of papers produced by Stefan Braam. 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 Stefan Braam. The network helps show where Stefan Braam may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Braam, 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 | 2022 | 2 | |
| 2 | 2020 | 10 | |
| 3 | 2020 | 5 | |
| 4 | 2018 | 18 | |
| 5 | 2018 | 1 | |
| 6 | 2017 | 60 | |
| 7 | 2014 | 15 | |
| 8 | 2014 | 42 | |
| 9 | Human induced pluripotent stem cells as in vitro model for hypertrophic cardiomyopathy | 2012 | 2 |
| 10 | 2012 | 60 | |
| 11 | 2011 | 97 | |
| 12 | 2009 | 8 | |
| 13 | 2009 | 292 | |
| 14 | 2009 | 65 | |
| 15 | 2008 | 88 | |
| 16 | 2008 | 70 | |
| 17 | 2007 | 179 | |
| 18 | 2006 | 43 | |
| 19 | 2005 | 49 | |
| 20 | 2005 | 6 |
About Stefan Braam
Stefan Braam is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology, Biomedical Engineering and Bioengineering, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (20 papers), CRISPR and Genetic Engineering (14 papers), 3D Printing in Biomedical Research (12 papers), Neuroscience and Neural Engineering (9 papers), Cardiac electrophysiology and arrhythmias (9 papers), Tissue Engineering and Regenerative Medicine (6 papers), Cardiomyopathy and Myosin Studies (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cellular and Molecular Neuroscience (440 citations), Biomedical Engineering (708 citations), Cardiology and Cardiovascular Medicine (343 citations) and Surgery (544 citations). Stefan Braam has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Christine L. Mummery, Robert Passier, Leon G.J. Tertoolen, Dennis Van Hoof, Albert J. R. Heck, Jeroen Krijgsveld, Thomas Meyer, Anja van de Stolpe, Dorien Ward‐van Oostwaard and Richard P. Davis. Their work appears in journals such as Journal of Proteome Research, Stem Cell Research, Stem Cells, Cancer Gene Therapy and Trends in Pharmacological Sciences.
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.