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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- Wound Healing and Treatments 7
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- 3D Printing in Biomedical Research 14
- Innovative Microfluidic and Catalytic Techniques Innovation 4
- Co-authors
- Annika Kengelbach‐Weigand (29 shared papers)Raymund E. Horch (27 shared papers)Andreas Arkudas (18 shared papers)Anja‐Katrin Bosserhoff (10 shared papers)Anja Miriam Boos (8 shared papers)Dirk Wolfram Schubert (8 shared papers)Stefan Schrüfer (8 shared papers)Rainer Detsch (5 shared papers)
- Journals
- Scientific Reports (3 papers)Cancers (3 papers)International Journal of Bioprinting (2 papers)Materials Today Bio (2 papers)Journal of Personalized Medicine (2 papers)
- Partner nations
- GermanyItalySwitzerland
In The Last Decade
Rafael Schmid
29 papers receiving 379 citations
Peers
Comparison fields: 5 of 64
- Rehabilitation 32
- Biomedical Engineering 186
- Oncology 91
- Cell Biology 57
- Biomaterials 46
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 46 | |
| 2 | 2021 | 41 | |
| 3 | 2020 | 35 | |
| 4 | 2018 | 30 | |
| 5 | 2018 | 30 | |
| 6 | 2019 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2023 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2025 | 7 |
About Rafael Schmid
Rafael Schmid is a scholar working on Rehabilitation, Biomedical Engineering, Oncology, Genetics and Cell Biology, having authored 32 papers that have together received 387 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (14 papers), Cancer Cells and Metastasis (8 papers), Wound Healing and Treatments (7 papers), Cellular Mechanics and Interactions (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Mesenchymal stem cell research (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 (32 citations), Biomedical Engineering (186 citations), Oncology (91 citations), Cell Biology (57 citations) and Biomaterials (46 citations). Rafael Schmid has collaborated with scholars based in Germany, Italy and Switzerland. Frequent co-authors include Annika Kengelbach‐Weigand, Raymund E. Horch, Andreas Arkudas, Anja‐Katrin Bosserhoff, Anja Miriam Boos, Dirk Wolfram Schubert, Stefan Schrüfer, Rainer Detsch, Aldo Roberto Boccaccini and Aijia Cai. Their work appears in journals such as Scientific Reports, Cancers, International Journal of Bioprinting, Materials Today Bio and Journal of Personalized Medicine.
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.