Stefan Braam

3.2k citations
37 papers · 2.2k indexed · h-index 20

Impact in

Papers in

Stefan Braam

35 papers receiving 2.1k citations

Peers

Stefan Braam
Comparison fields: 5 of 95
  • Molecular Biology 1.8k
  • Cellular and Molecular Neuroscience 440
  • Biomedical Engineering 708
  • Cardiology and Cardiovascular Medicine 343
  • Surgery 544
Replace Cheston Hsiao with:
Cheston Hsiao United States
Antje Ebert United States
Elena Matsa United States
Verónica Sánchez-Freire United States
Lila R. Collins United States
Fabio Cerignoli United States
J. Travis Hinson United States
Luke M. Judge United States
Tomoya Kitani Japan
Tiago G. Fernandes Portugal
Stefan Braam relative to Cheston Hsiao United States Cheston Hsiao's profile →
Citations per field
00.5×1.5×
Cheston Hsiao · 1×
Citations per year

Countries citing papers authored by Stefan Braam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stefan Braam Line = papers co-authored together Stefan Braam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20222
2 202010
3 20205
4 201818
5 20181
6 201760
7 201415
8 201442
9
Human induced pluripotent stem cells as in vitro model for hypertrophic cardiomyopathy
20122
10 201260
11 201197
12 20098
13 2009292
14 200965
15 200888
16 200870
17 2007179
18 200643
19 200549
20 20056

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.

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