Dominik Egger
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
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- MicroRNA in disease regulation
Papers in
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- 3D Printing in Biomedical Research 16
- Bone Tissue Engineering Materials 4
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- Extracellular vesicles in disease 8
- Pluripotent Stem Cells Research 5
- Viral Infectious Diseases and Gene Expression in Insects 5
- Co-authors
- Cornelia Kasper (31 shared papers)Viktoria Weber (6 shared papers)Sebastian Kreß (6 shared papers)Carla Tripisciano (4 shared papers)René Weiss (4 shared papers)Michelle G. Roy (1 shared paper)Jan Hansmann (4 shared papers)Massimo Dominici (1 shared paper)
In The Last Decade
Dominik Egger
35 papers receiving 694 citations
Peers
Comparison fields: 5 of 93
- Genetics 178
- Cancer Research 109
- Biomaterials 99
- Biomedical Engineering 250
- Automotive Engineering 56
Countries citing papers authored by Dominik Egger
This map shows the geographic impact of Dominik Egger'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 Dominik Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominik Egger more than expected).
Fields of papers citing papers by Dominik Egger
This network shows the impact of papers produced by Dominik Egger. 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 Dominik Egger. The network helps show where Dominik Egger may publish in the future.
Co-authors
The 25 scholars most cited alongside Dominik Egger, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 145 | |
| 2 | 2022 | 80 | |
| 3 | 2020 | 64 | |
| 4 | 2018 | 62 | |
| 5 | 2017 | 46 | |
| 6 | 2021 | 42 | |
| 7 | 2021 | 35 | |
| 8 | 2017 | 27 | |
| 9 | 2019 | 26 | |
| 10 | 2017 | 25 | |
| 11 | 2022 | 19 | |
| 12 | 2025 | 14 | |
| 13 | 2019 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2024 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2024 | 7 |
About Dominik Egger
Dominik Egger is a scholar working on Biomedical Engineering, Molecular Biology, Genetics, Surgery and Biomaterials, having authored 37 papers that have together received 701 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (16 papers), Mesenchymal stem cell research (12 papers), Extracellular vesicles in disease (8 papers), Tissue Engineering and Regenerative Medicine (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Pluripotent Stem Cells Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and Bone Tissue Engineering Materials (4 papers). The work is most often cited by research in Genetics (178 citations), Cancer Research (109 citations), Biomaterials (99 citations), Biomedical Engineering (250 citations) and Automotive Engineering (56 citations). Dominik Egger has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Cornelia Kasper, Viktoria Weber, Sebastian Kreß, Carla Tripisciano, René Weiss, Michelle G. Roy, Jan Hansmann, Massimo Dominici, Monica Fischer and Verena Charwat. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Scientific Reports, Cells, Advanced Healthcare Materials and Tissue 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.