Sean P. Palecek
- Molecular Biology top 0.5%
- Biomedical Engineering top 0.2%
- Surgery top 0.5%
- Cell Biology top 0.2%
- Neurology top 0.2%
- Co-authors
- Eric V. ShustaSamira M. AzarinTimothy J. KampXiaojun LianDouglas A. LauffenburgerAlan F. HorwitzJuan PabloCheston Hsiao
- Topics
- Pluripotent Stem Cells Research (71 papers)3D Printing in Biomedical Research (44 papers)Tissue Engineering and Regenerative Medicine (30 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesSwitzerlandPuerto Rico
In The Last Decade
Sean P. Palecek
187 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 8.6k
- Biomedical Engineering 4.5k
- Surgery 2.9k
- Cell Biology 2.1k
- Neurology 1.8k
Countries citing papers authored by Sean P. Palecek
This map shows the geographic impact of Sean P. Palecek'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 Sean P. Palecek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean P. Palecek more than expected).
Fields of papers citing papers by Sean P. Palecek
This network shows the impact of papers produced by Sean P. Palecek. 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 Sean P. Palecek. The network helps show where Sean P. Palecek may publish in the future.
Co-authorship network of co-authors of Sean P. Palecek
This figure shows the co-authorship network connecting the top 25 collaborators of Sean P. Palecek. A scholar is included among the top collaborators of Sean P. Palecek 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 Sean P. Palecek. Sean P. Palecek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 84 | |
| 9 | 20 | |
| 10 | 4 | |
| 11 | 22 | |
| 12 | 98 | |
| 13 | Hypoxia-enhanced Blood-Brain Barrier Chip recapitulates human barrier function and shuttling of drugs and antibodiesbreakdown → | 452 |
| 14 | 173 | |
| 15 | 5 | |
| 16 | 24 | |
| 17 | 2 | |
| 18 | 32 | |
| 19 | Abstract 20724: Matrix-Promoted Efficient Cardiac Differentiation of Human iPS and ES Cells | 3 |
| 20 | 33 |
About Sean P. Palecek
Sean P. Palecek is a scholar working on Neurology, Microbiology and Developmental Neuroscience, having authored 194 papers that have together received 14.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (71 papers), 3D Printing in Biomedical Research (44 papers) and Tissue Engineering and Regenerative Medicine (30 papers). The work is most often cited by research in Neurology (1.8k citations), Immunology and Allergy (927 citations) and Cell Biology (2.1k citations). Sean P. Palecek has collaborated with scholars based in United States, Switzerland and Puerto Rico. Frequent co-authors include Eric V. Shusta, Samira M. Azarin, Timothy J. Kamp, Xiaojun Lian, Douglas A. Lauffenburger, Alan F. Horwitz, Juan Pablo, Cheston Hsiao, Laurie B. Hazeltine and Kexian Zhu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.