P. Stephen
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
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- Neuroscience and Neural Engineering
Papers in
-
- 3D Printing in Biomedical Research 5
- Surgery 4
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Gordana Vunjak‐Novakovic (6 shared papers)Keith Yeager (2 shared papers)Dario Sirabella (1 shared paper)Kumi Morikawa (1 shared paper)Kacey Ronaldson-Bouchard (1 shared paper)Timothy F. Chen (1 shared paper)Masayuki Yazawa (1 shared paper)LouJin Song (1 shared paper)
- Journals
- Med (1 paper)Tissue Engineering Part C Methods (1 paper)Theranostics (1 paper)Biomaterials (1 paper)Journal of Biomechanical Engineering (1 paper)
- Partner nations
- United StatesPortugalSpain
In The Last Decade
P. Stephen
7 papers receiving 1.0k citations
P. Stephen's Hit Papers
Peers
Comparison fields: 5 of 70
- Biomaterials 192
- Cellular and Molecular Neuroscience 231
- Surgery 487
- Biomedical Engineering 479
- Cardiology and Cardiovascular Medicine 163
Countries citing papers authored by P. Stephen
This map shows the geographic impact of P. Stephen'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 P. Stephen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Stephen more than expected).
Fields of papers citing papers by P. Stephen
This network shows the impact of papers produced by P. Stephen. 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 P. Stephen. The network helps show where P. Stephen may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Stephen, 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 | Advanced maturation of human cardiac tissue grown from pluripotent stem cells Hit paper breakdown → | 2018 | 908 |
| 2 | 2019 | 48 | |
| 3 | 2018 | 42 | |
| 4 | 2021 | 29 | |
| 5 | 2015 | 9 | |
| 6 | 2016 | 5 | |
| 7 | 2025 | 2 |
About P. Stephen
P. Stephen is a scholar working on Biomedical Engineering, Surgery, Molecular Biology, Genetics and Biomaterials, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (5 papers), Tissue Engineering and Regenerative Medicine (3 papers), Pluripotent Stem Cells Research (3 papers), Mesenchymal stem cell research (2 papers), Planarian Biology and Electrostimulation (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Immune Cell Function and Interaction (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Biomaterials (192 citations), Cellular and Molecular Neuroscience (231 citations), Surgery (487 citations), Biomedical Engineering (479 citations) and Cardiology and Cardiovascular Medicine (163 citations). P. Stephen has collaborated with scholars based in United States, Portugal and Spain. Frequent co-authors include Gordana Vunjak‐Novakovic, Keith Yeager, Dario Sirabella, Kumi Morikawa, Kacey Ronaldson-Bouchard, Timothy F. Chen, Masayuki Yazawa, LouJin Song, Diogo Teles and Roger D. Kamm. Their work appears in journals such as Med, Tissue Engineering Part C Methods, Theranostics, Biomaterials and Journal of Biomechanical Engineering.
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.