Rafael Schmid
Impact in
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- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
Papers in
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- 3D Printing in Biomedical Research 13
- Innovative Microfluidic and Catalytic Techniques Innovation 4
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- Sphingolipid Metabolism and Signaling 3
- Angiogenesis and VEGF in Cancer 3
- Co-authors
- Raymund E. Horch (25 shared papers)Annika Kengelbach‐Weigand (23 shared papers)Andreas Arkudas (16 shared papers)Anja‐Katrin Bosserhoff (9 shared papers)Anja M. Boos (8 shared papers)Dirk W. Schubert (8 shared papers)Stefan Schrüfer (8 shared papers)Annika Weigand (4 shared papers)
- Journals
- Cancers (3 papers)Scientific Reports (3 papers)Journal of Personalized Medicine (2 papers)International Journal of Bioprinting (2 papers)Materials Today Bio (2 papers)
- Partner nations
- GermanySwitzerlandChina
In The Last Decade
Rafael Schmid
27 papers receiving 346 citations
Peers
Comparison fields: 5 of 63
- Rehabilitation 27
- Biomedical Engineering 168
- Oncology 88
- Cell Biology 55
- Genetics 31
Countries citing papers authored by Rafael Schmid
This map shows the geographic impact of Rafael Schmid'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 Rafael Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Schmid more than expected).
Fields of papers citing papers by Rafael Schmid
This network shows the impact of papers produced by Rafael Schmid. 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 Rafael Schmid. The network helps show where Rafael Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafael Schmid, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 44 | |
| 2 | 2021 | 39 | |
| 3 | 2020 | 32 | |
| 4 | 2018 | 28 | |
| 5 | 2018 | 26 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2016 | 9 | |
| 16 | 2019 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2025 | 5 |
About Rafael Schmid
Rafael Schmid is a scholar working on Biomedical Engineering, Molecular Biology, Oncology, Rehabilitation and Cell Biology, having authored 29 papers that have together received 348 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (13 papers), Cancer Cells and Metastasis (8 papers), Wound Healing and Treatments (7 papers), Cellular Mechanics and Interactions (4 papers), Mesenchymal stem cell research (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Sphingolipid Metabolism and Signaling (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Rehabilitation (27 citations), Biomedical Engineering (168 citations), Oncology (88 citations), Cell Biology (55 citations) and Genetics (31 citations). Rafael Schmid has collaborated with scholars based in Germany, Switzerland and China. Frequent co-authors include Raymund E. Horch, Annika Kengelbach‐Weigand, Andreas Arkudas, Anja‐Katrin Bosserhoff, Anja M. Boos, Dirk W. Schubert, Stefan Schrüfer, Annika Weigand, Rainer Detsch and Aldo R. Boccaccini. Their work appears in journals such as Cancers, Scientific Reports, Journal of Personalized Medicine, International Journal of Bioprinting and Materials Today Bio.
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.