Ute Schaeper
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Molecular Biology top 5%
- Kruppel-like factors research
- Cancer-related gene regulation
- Protein Tyrosine Phosphatases
- RNA Interference and Gene Delivery
- Protein Kinase Regulation and GTPase Signaling
- Cell death mechanisms and regulation
Papers in
-
- Protein Tyrosine Phosphatases 4
- RNA Interference and Gene Delivery 3
- Protein Kinase Regulation and GTPase Signaling 3
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- Iron Metabolism and Disorders 6
- Co-authors
- G. Chinnadurai (4 shared papers)Janice M. Boyd (3 shared papers)T. Subramanian (3 shared papers)Walter Birchmeier (6 shared papers)Martin M. Sachs (3 shared papers)Niels H. Gehring (2 shared papers)Sumit Verma (1 shared paper)Leelavathi Venkatesh (1 shared paper)
- Journals
- Blood (8 papers)Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ute Schaeper
34 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 97
- Hepatology 244
- Molecular Biology 1.9k
- Cancer Research 222
- Genetics 410
- Immunology 283
Countries citing papers authored by Ute Schaeper
This map shows the geographic impact of Ute Schaeper'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 Schaeper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Schaeper more than expected).
Fields of papers citing papers by Ute Schaeper
This network shows the impact of papers produced by Ute Schaeper. 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 Schaeper. The network helps show where Ute Schaeper may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Schaeper, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 408 | |
| 2 | 1995 | 304 | |
| 3 | 2000 | 289 | |
| 4 | 1993 | 257 | |
| 5 | 2000 | 218 | |
| 6 | 1998 | 158 | |
| 7 | 2000 | 113 | |
| 8 | 2001 | 87 | |
| 9 | 2010 | 82 | |
| 10 | 2014 | 82 | |
| 11 | 2004 | 74 | |
| 12 | 2007 | 56 | |
| 13 | 2014 | 54 | |
| 14 | 2019 | 40 | |
| 15 | 2004 | 35 | |
| 16 | 2019 | 27 | |
| 17 | 2017 | 26 | |
| 18 | 2020 | 25 | |
| 19 | 2021 | 21 | |
| 20 | 2015 | 17 |
About Ute Schaeper
Ute Schaeper is a scholar working on Molecular Biology, Hematology, Hepatology, Genetics and Epidemiology, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Iron Metabolism and Disorders (6 papers), Protein Tyrosine Phosphatases (4 papers), Virus-based gene therapy research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), RNA Interference and Gene Delivery (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Hepatology (244 citations), Molecular Biology (1.9k citations), Cancer Research (222 citations), Genetics (410 citations) and Immunology (283 citations). Ute Schaeper has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include G. Chinnadurai, Janice M. Boyd, T. Subramanian, Walter Birchmeier, Martin M. Sachs, Niels H. Gehring, Sumit Verma, Leelavathi Venkatesh, Erik J. Uhlmann and Scott Malstrom. Their work appears in journals such as Blood, Scientific Reports, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.
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.