Dominik Egger
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
- Genetics 10
- Mesenchymal stem cell research 10
-
- Hydrogels: synthesis, properties, applications 6
- Co-authors
- Cornelia Kasper (32 shared papers)Viktoria Weber (6 shared papers)Sebastian Kreß (6 shared papers)Carla Tripisciano (4 shared papers)René Weiss (4 shared papers)Jan Hansmann (5 shared papers)Massimo Dominici (1 shared paper)Volker Ribitsch (1 shared paper)
- Journals
- Frontiers in Bioengineering and Biotechnology (2 papers)Scientific Reports (2 papers)Cells (2 papers)Biochemical Engineering Journal (1 paper)Cells Tissues Organs (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Dominik Egger
34 papers receiving 752 citations
Peers
Comparison fields: 5 of 77
- Genetics 181
- Molecular Medicine 44
- Biomedical Engineering 207
- Molecular Biology 261
- Biomaterials 42
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2022 | 96 | |
| 3 | 2020 | 68 | |
| 4 | 2018 | 67 | |
| 5 | 2017 | 51 | |
| 6 | 2021 | 43 | |
| 7 | 2021 | 38 | |
| 8 | 2019 | 28 | |
| 9 | 2017 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2025 | 23 | |
| 12 | 2022 | 19 | |
| 13 | 2023 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2021 | 8 | |
| 20 | 2024 | 8 |
About Dominik Egger
Dominik Egger is a scholar working on Genetics, Molecular Medicine, Biomedical Engineering, Molecular Biology and Cell Biology, having authored 36 papers that have together received 757 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (13 papers), Mesenchymal stem cell research (10 papers), Extracellular vesicles in disease (6 papers), Hydrogels: synthesis, properties, applications (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Pluripotent Stem Cells Research (3 papers), Bone Tissue Engineering Materials (3 papers) and Cellular Mechanics and Interactions (3 papers). The work is most often cited by research in Genetics (181 citations), Molecular Medicine (44 citations), Biomedical Engineering (207 citations), Molecular Biology (261 citations) and Biomaterials (42 citations). Dominik Egger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Cornelia Kasper, Viktoria Weber, Sebastian Kreß, Carla Tripisciano, René Weiss, Jan Hansmann, Massimo Dominici, Volker Ribitsch, Verena Charwat and Dimitrios Kouroupis. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Scientific Reports, Cells, Biochemical Engineering Journal and Cells Tissues Organs.
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.