Peter Backeris
Impact in
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- Electrospun Nanofibers in Biomedical Applications
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- Tissue Engineering and Regenerative Medicine
Papers in
- Surgery 6
- Tissue Engineering and Regenerative Medicine 5
- Coronary Interventions and Diagnostics 1
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- Pluripotent Stem Cells Research 3
- Co-authors
- Kevin D. Costa (7 shared papers)Ioannis Karakikes (2 shared papers)Camie W. Chan (3 shared papers)Jean‐Sébastien Hulot (2 shared papers)Irene C. Turnbull (3 shared papers)Wendy Keung (3 shared papers)Roger J. Hajjar (3 shared papers)Patrick K.W. Chan (3 shared papers)
- Journals
- Biomaterials (1 paper)European Heart Journal (1 paper)Clinical Pharmacology & Therapeutics (1 paper)Journal of Applied Physiology (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesHong KongFrance
In The Last Decade
Peter Backeris
8 papers receiving 353 citations
Peers
Comparison fields: 5 of 54
- Biomaterials 72
- Surgery 184
- Cellular and Molecular Neuroscience 73
- Biomedical Engineering 169
- Cardiology and Cardiovascular Medicine 86
Countries citing papers authored by Peter Backeris
This map shows the geographic impact of Peter Backeris'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 Peter Backeris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Backeris more than expected).
Fields of papers citing papers by Peter Backeris
This network shows the impact of papers produced by Peter Backeris. 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 Peter Backeris. The network helps show where Peter Backeris may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Backeris, 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 | 2013 | 133 | |
| 2 | 2018 | 122 | |
| 3 | 2016 | 51 | |
| 4 | 2019 | 39 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 4 | |
| 7 | 2018 | 2 | |
| 8 | 2019 | 1 |
About Peter Backeris
Peter Backeris is a scholar working on Surgery, Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 357 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (5 papers), Pluripotent Stem Cells Research (3 papers), Neuroscience and Neural Engineering (2 papers), 3D Printing in Biomedical Research (2 papers), Cardiac Imaging and Diagnostics (1 paper), Coronary Interventions and Diagnostics (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Biomaterials (72 citations), Surgery (184 citations), Cellular and Molecular Neuroscience (73 citations), Biomedical Engineering (169 citations) and Cardiology and Cardiovascular Medicine (86 citations). Peter Backeris has collaborated with scholars based in United States, Hong Kong and France. Frequent co-authors include Kevin D. Costa, Ioannis Karakikes, Camie W. Chan, Jean‐Sébastien Hulot, Irene C. Turnbull, Wendy Keung, Roger J. Hajjar, Patrick K.W. Chan, Ronald A. Li and Bryce V. Johnson. Their work appears in journals such as Biomaterials, European Heart Journal, Clinical Pharmacology & Therapeutics, Journal of Applied Physiology and The FASEB Journal.
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.