Inga Bernemann
Impact in
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
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- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Bone Tissue Engineering Materials
Papers in
- Surgery 3
- Tissue Engineering and Regenerative Medicine 3
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- RNA Interference and Gene Delivery 1
- Co-authors
- Birgit Glasmacher (6 shared papers)Nicola Hofmann (4 shared papers)Andrea Deiwick (1 shared paper)Lothar Koch (1 shared paper)Boris N. Chichkov (1 shared paper)Martin Gruene (1 shared paper)Claudia Unger (1 shared paper)Sabrina Schlie (1 shared paper)
- Journals
- Cryobiology (2 papers)Cellular Reprogramming (1 paper)Biopreservation and Biobanking (1 paper)Human Vaccines & Immunotherapeutics (1 paper)Tissue Engineering Part C Methods (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Inga Bernemann
11 papers receiving 302 citations
Peers
Comparison fields: 5 of 66
- Automotive Engineering 107
- Biomedical Engineering 209
- Biomaterials 33
- Urology 11
- Genetics 18
Countries citing papers authored by Inga Bernemann
This map shows the geographic impact of Inga Bernemann'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 Inga Bernemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inga Bernemann more than expected).
Fields of papers citing papers by Inga Bernemann
This network shows the impact of papers produced by Inga Bernemann. 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 Inga Bernemann. The network helps show where Inga Bernemann may publish in the future.
Co-authors
The 25 scholars most cited alongside Inga Bernemann, 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 | 2010 | 206 | |
| 2 | 2012 | 31 | |
| 3 | 2017 | 18 | |
| 4 | Diffusion of dimethyl sulfoxide in tissue engineered collagen scaffolds visualized by computer tomography. | 2011 | 13 |
| 5 | 2016 | 12 | |
| 6 | 2011 | 11 | |
| 7 | 2017 | 6 | |
| 8 | 2008 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2006 | 1 | |
| 12 | Optimierung von Kryokonservierungsprotokollen: Systematische Parameteranalyse. | 2008 | 0 |
About Inga Bernemann
Inga Bernemann is a scholar working on Surgery, Molecular Biology, Public Health, Environmental and Occupational Health, Genetics and Immunology, having authored 12 papers that have together received 306 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (3 papers), Ethics in Clinical Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Mesenchymal stem cell research (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Virus-based gene therapy research (1 paper), RNA Interference and Gene Delivery (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Automotive Engineering (107 citations), Biomedical Engineering (209 citations), Biomaterials (33 citations), Urology (11 citations) and Genetics (18 citations). Inga Bernemann has collaborated with scholars based in Germany and United States. Frequent co-authors include Birgit Glasmacher, Nicola Hofmann, Andrea Deiwick, Lothar Koch, Boris N. Chichkov, Martin Gruene, Claudia Unger, Sabrina Schlie, Rainer Blasczyk and Thomas Illig. Their work appears in journals such as Cryobiology, Cellular Reprogramming, Biopreservation and Biobanking, Human Vaccines & Immunotherapeutics and Tissue Engineering Part C Methods.
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.