Ute Schäfer
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- RNA and protein synthesis mechanisms 5
-
- Anatomy and Medical Technology 6
- Bone Tissue Engineering Materials 5
- Co-authors
- Konstanze Beck (3 shared papers)Matthias Müller (3 shared papers)Edmund Neugebauer (7 shared papers)Hans‐Georg Koch (1 shared paper)Marek Molčányi (9 shared papers)Ruth Herbst (1 shared paper)Annelie‐Martina Weinberg (7 shared papers)Robert Seckler (1 shared paper)
- Journals
- Journal of Neurotrauma (6 papers)Journal of Biological Chemistry (3 papers)Advanced Engineering Materials (2 papers)Neuroreport (2 papers)Cells (2 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Ute Schäfer
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 138
- Developmental Neuroscience 109
- Neurology 192
- Endocrinology 61
- Biomaterials 152
- Genetics 113
Countries citing papers authored by Ute Schäfer
This map shows the geographic impact of Ute Schäfer'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 Ute Schäfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Schäfer more than expected).
Fields of papers citing papers by Ute Schäfer
This network shows the impact of papers produced by Ute Schäfer. 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 Ute Schäfer. The network helps show where Ute Schäfer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Schäfer, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 185 | |
| 2 | 2015 | 132 | |
| 3 | 2000 | 110 | |
| 4 | 2007 | 79 | |
| 5 | 1999 | 75 | |
| 6 | 2002 | 72 | |
| 7 | 2007 | 71 | |
| 8 | 2013 | 69 | |
| 9 | 1997 | 58 | |
| 10 | 2005 | 51 | |
| 11 | 2006 | 50 | |
| 12 | 2007 | 41 | |
| 13 | 2002 | 37 | |
| 14 | 2021 | 32 | |
| 15 | 2013 | 30 | |
| 16 | 2017 | 27 | |
| 17 | 2006 | 24 | |
| 18 | 2016 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2017 | 19 |
About Ute Schäfer
Ute Schäfer is a scholar working on Molecular Biology, Biomedical Engineering, Automotive Engineering, Neurology and Epidemiology, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (14 papers), Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Anatomy and Medical Technology (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Bone Tissue Engineering Materials (5 papers), RNA and protein synthesis mechanisms (5 papers), Mesenchymal stem cell research (4 papers) and Anesthesia and Neurotoxicity Research (4 papers). The work is most often cited by research in Developmental Neuroscience (109 citations), Neurology (192 citations), Endocrinology (61 citations), Biomaterials (152 citations) and Genetics (113 citations). Ute Schäfer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Konstanze Beck, Matthias Müller, Edmund Neugebauer, Hans‐Georg Koch, Marek Molčányi, Ruth Herbst, Annelie‐Martina Weinberg, Robert Seckler, Jürgen Hescheler and Peter Rieß. Their work appears in journals such as Journal of Neurotrauma, Journal of Biological Chemistry, Advanced Engineering Materials, Neuroreport and Cells.
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.