Daniëlle Pretorius
Impact in
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- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Pluripotent Stem Cells Research 9
- Congenital heart defects research 3
- CRISPR and Genetic Engineering 3
- Surgery 10
- Tissue Engineering and Regenerative Medicine 10
- Co-authors
- Jianyi Zhang (15 shared papers)Kim Gail Clarke (1 shared paper)Xi Lou (9 shared papers)Vladimir G. Fast (5 shared papers)Joel L. Berry (4 shared papers)Ramaswamy Kannappan (4 shared papers)Yawen Tang (4 shared papers)Robert P. Richter (2 shared papers)
- Journals
- JCI Insight (3 papers)Frontiers in Bioengineering and Biotechnology (2 papers)Journal of Visualized Experiments (2 papers)iScience (1 paper)Biomedical Materials (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Daniëlle Pretorius
18 papers receiving 418 citations
Peers
Comparison fields: 5 of 68
- Biomaterials 82
- Critical Care and Intensive Care Medicine 22
- Surgery 174
- Biomedical Engineering 140
- Molecular Biology 202
Countries citing papers authored by Daniëlle Pretorius
This map shows the geographic impact of Daniëlle Pretorius'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 Daniëlle Pretorius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniëlle Pretorius more than expected).
Fields of papers citing papers by Daniëlle Pretorius
This network shows the impact of papers produced by Daniëlle Pretorius. 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 Daniëlle Pretorius. The network helps show where Daniëlle Pretorius may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniëlle Pretorius, 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 | 2019 | 66 | |
| 2 | 2014 | 56 | |
| 3 | 2020 | 46 | |
| 4 | 2022 | 39 | |
| 5 | 2022 | 30 | |
| 6 | 2023 | 29 | |
| 7 | 2019 | 23 | |
| 8 | 2020 | 21 | |
| 9 | 2022 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2020 | 7 | |
| 16 | 2019 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2019 | 2 |
About Daniëlle Pretorius
Daniëlle Pretorius is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Biomedical Engineering and Biomaterials, having authored 18 papers that have together received 423 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (10 papers), Pluripotent Stem Cells Research (9 papers), Neuroscience and Neural Engineering (5 papers), 3D Printing in Biomedical Research (4 papers), Congenital heart defects research (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), CRISPR and Genetic Engineering (3 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers). The work is most often cited by research in Biomaterials (82 citations), Critical Care and Intensive Care Medicine (22 citations), Surgery (174 citations), Biomedical Engineering (140 citations) and Molecular Biology (202 citations). Daniëlle Pretorius has collaborated with scholars based in United States, China and France. Frequent co-authors include Jianyi Zhang, Kim Gail Clarke, Xi Lou, Vladimir G. Fast, Joel L. Berry, Ramaswamy Kannappan, Yawen Tang, Robert P. Richter, Jillian R. Richter and Meng Zhao. Their work appears in journals such as JCI Insight, Frontiers in Bioengineering and Biotechnology, Journal of Visualized Experiments, iScience and Biomedical Materials.
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.