David A. Brafman
Impact in
- Aging top 5%
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Pluripotent Stem Cells Research 32
- CRISPR and Genetic Engineering 18
- Wnt/β-catenin signaling in development and cancer 5
-
- 3D Printing in Biomedical Research 16
- Co-authors
- Karl Willert (16 shared papers)Josh Cutts (7 shared papers)Shu Chien (6 shared papers)Mehdi Nikkhah (6 shared papers)Nicholas Brookhouser (15 shared papers)Antonio Fernandez-Perez (2 shared papers)Shyni Varghese (2 shared papers)Terry Gaasterland (5 shared papers)
- Journals
- Stem Cell Reports (6 papers)Stem Cell Research (4 papers)Cells (3 papers)Biomaterials (3 papers)Acta Biomaterialia (3 papers)
- Partner nations
- United StatesSwitzerlandIran
In The Last Decade
David A. Brafman
59 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Aging 40
- Biomaterials 238
- Molecular Biology 1.1k
- Biomedical Engineering 646
- Developmental Neuroscience 53
Countries citing papers authored by David A. Brafman
This map shows the geographic impact of David A. Brafman'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 David A. Brafman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Brafman more than expected).
Fields of papers citing papers by David A. Brafman
This network shows the impact of papers produced by David A. Brafman. 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 David A. Brafman. The network helps show where David A. Brafman may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Brafman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 151 | |
| 2 | 2016 | 119 | |
| 3 | 2012 | 108 | |
| 4 | 2015 | 106 | |
| 5 | 2014 | 94 | |
| 6 | 2020 | 73 | |
| 7 | 2016 | 70 | |
| 8 | 2009 | 69 | |
| 9 | 2017 | 61 | |
| 10 | 2016 | 56 | |
| 11 | 2014 | 53 | |
| 12 | 2017 | 52 | |
| 13 | 2012 | 51 | |
| 14 | 2009 | 50 | |
| 15 | 2006 | 48 | |
| 16 | 2012 | 47 | |
| 17 | 2013 | 42 | |
| 18 | 2017 | 39 | |
| 19 | 2021 | 38 | |
| 20 | 2019 | 37 |
About David A. Brafman
David A. Brafman is a scholar working on Molecular Biology, Biomedical Engineering, Surgery, Cellular and Molecular Neuroscience and Physiology, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (32 papers), CRISPR and Genetic Engineering (18 papers), 3D Printing in Biomedical Research (16 papers), Tissue Engineering and Regenerative Medicine (12 papers), Alzheimer's disease research and treatments (6 papers), Nuclear Receptors and Signaling (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Aging (40 citations), Biomaterials (238 citations), Molecular Biology (1.1k citations), Biomedical Engineering (646 citations) and Developmental Neuroscience (53 citations). David A. Brafman has collaborated with scholars based in United States, Switzerland and Iran. Frequent co-authors include Karl Willert, Josh Cutts, Shu Chien, Mehdi Nikkhah, Nicholas Brookhouser, Antonio Fernandez-Perez, Shyni Varghese, Terry Gaasterland, Chien‐Wen Chang and Karmella A. Haynes. Their work appears in journals such as Stem Cell Reports, Stem Cell Research, Cells, Biomaterials and Acta Biomaterialia.
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.