Ute Schmidt
Impact in
- Biomaterials top 10%
- Collagen: Extraction and Characterization
- Supramolecular Self-Assembly in Materials
-
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- Genomics and Chromatin Dynamics
- Chemical Synthesis and Analysis
Papers in
-
- RNA Research and Splicing 12
- Nuclear Structure and Function 5
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 2
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Pamela A. Silver (1 shared paper)Édouard Bertrand (6 shared papers)Peter Lichter (2 shared papers)Eugénia Basyuk (2 shared papers)Karsten Richter (1 shared paper)Karin M. Balss (1 shared paper)Cailin Chen (1 shared paper)Mabel A. Cejas (1 shared paper)
- Journals
- RNA (3 papers)The Journal of Cell Biology (2 papers)Molecular Biology of the Cell (2 papers)Nucleus (1 paper)Pharmacopsychiatry (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Ute Schmidt
15 papers receiving 755 citations
Peers
Comparison fields: 5 of 72
- Biomaterials 124
- Molecular Biology 623
- Virology 24
- Aging 8
- Biophysics 25
Countries citing papers authored by Ute Schmidt
This map shows the geographic impact of Ute Schmidt'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 Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Schmidt more than expected).
Fields of papers citing papers by Ute Schmidt
This network shows the impact of papers produced by Ute Schmidt. 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 Schmidt. The network helps show where Ute Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Schmidt, 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 | 2008 | 150 | |
| 2 | 2000 | 123 | |
| 3 | 2011 | 96 | |
| 4 | 2006 | 61 | |
| 5 | 2012 | 55 | |
| 6 | 2013 | 53 | |
| 7 | 2010 | 53 | |
| 8 | 2011 | 41 | |
| 9 | 2009 | 40 | |
| 10 | 2011 | 28 | |
| 11 | 1974 | 20 | |
| 12 | 2016 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2004 | 11 | |
| 15 | 1980 | 5 | |
| 16 | 2011 | 0 |
About Ute Schmidt
Ute Schmidt is a scholar working on Molecular Biology, Virology, Condensed Matter Physics, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 763 indexed citations. Recurring topics across this work include RNA Research and Splicing (12 papers), Nuclear Structure and Function (5 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), Genomics and Chromatin Dynamics (2 papers), HIV Research and Treatment (2 papers), Cancer-related molecular mechanisms research (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Biomaterials (124 citations), Molecular Biology (623 citations), Virology (24 citations), Aging (8 citations) and Biophysics (25 citations). Ute Schmidt has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Pamela A. Silver, Édouard Bertrand, Peter Lichter, Eugénia Basyuk, Karsten Richter, Karin M. Balss, Cailin Chen, Mabel A. Cejas, Harold R. Almond and Eilyn R. Lacy. Their work appears in journals such as RNA, The Journal of Cell Biology, Molecular Biology of the Cell, Nucleus and Pharmacopsychiatry.
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.