Robert Zweigerdt
Impact in
- Molecular Biology top 1%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Congenital heart defects research
- Surgery top 1%
- Tissue Engineering and Regenerative Medicine
Papers in
-
- Pluripotent Stem Cells Research 74
- CRISPR and Genetic Engineering 29
- Congenital heart defects research 14
- Renal and related cancers 7
- Surgery 44
- Tissue Engineering and Regenerative Medicine 39
- Co-authors
- Ulrich MartinHenning KempfRuth OlmerAxel HaverichKristin SchwankeChristina KroppAnnika FrankeHarmeet Singh
- Journals
- Scientific Reports (5 papers)Nature Protocols (5 papers)Stem Cell Reports (5 papers)Stem Cell Research (4 papers)Nature Communications (3 papers)
- Partner nations
- GermanyUnited StatesSingapore
In The Last Decade
Robert Zweigerdt
105 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 4.0k
- Surgery 2.2k
- Biomedical Engineering 2.1k
- Biomaterials 531
- Cellular and Molecular Neuroscience 505
Countries citing papers authored by Robert Zweigerdt
This map shows the geographic impact of Robert Zweigerdt'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 Robert Zweigerdt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Zweigerdt more than expected).
Fields of papers citing papers by Robert Zweigerdt
This network shows the impact of papers produced by Robert Zweigerdt. 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 Robert Zweigerdt. The network helps show where Robert Zweigerdt may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Zweigerdt, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 18 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 64 | |
| 9 | 2022 | 61 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 56 | |
| 14 | 2018 | 29 | |
| 15 | 2018 | 112 | |
| 16 | 2018 | 4 | |
| 17 | 2018 | 111 | |
| 18 | 2014 | 6 | |
| 19 | 2012 | 31 | |
| 20 | 2008 | 80 |
About Robert Zweigerdt
Robert Zweigerdt is a scholar working on Molecular Biology, Surgery, Biomedical Engineering, Structural Biology and Biomaterials, having authored 108 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (74 papers), Tissue Engineering and Regenerative Medicine (39 papers), 3D Printing in Biomedical Research (36 papers), CRISPR and Genetic Engineering (29 papers), Congenital heart defects research (14 papers), Neuroscience and Neural Engineering (8 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Renal and related cancers (7 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Surgery (2.2k citations), Biomedical Engineering (2.1k citations), Biomaterials (531 citations) and Cellular and Molecular Neuroscience (505 citations). Robert Zweigerdt has collaborated with scholars based in Germany, United States and Singapore. Frequent co-authors include Ulrich Martin, Henning Kempf, Ruth Olmer, Axel Haverich, Kristin Schwanke, Christina Kropp, Annika Franke, Harmeet Singh, Thavamalar Balakrishnan and Ina Gruh. Their work appears in journals such as Scientific Reports, Nature Protocols, Stem Cell Reports, Stem Cell Research and Nature Communications.
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.