Ute Schaeper
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Kruppel-like factors research
- Cancer-related gene regulation
- Protein Tyrosine Phosphatases
- Advanced biosensing and bioanalysis techniques
- Protein Kinase Regulation and GTPase Signaling
Papers in
-
- Liver physiology and pathology 6
- Co-authors
- Govindasamy Chinnadurai (4 shared papers)T. Subramanian (3 shared papers)Janice M. Boyd (3 shared papers)Walter Birchmeier (6 shared papers)Martin M. Sachs (3 shared papers)Niels H. Gehring (2 shared papers)Scott E. Malstrom (1 shared paper)Cleta D’Sa-Eipper (1 shared paper)
- Journals
- Blood (4 papers)APOPTOSIS (2 papers)The Journal of Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Ute Schaeper
36 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 108
- Hepatology 271
- Molecular Biology 2.2k
- Cancer Research 317
- Genetics 454
- Immunology 318
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 429 | |
| 2 | 1995 | 322 | |
| 3 | 2000 | 309 | |
| 4 | 1993 | 267 | |
| 5 | 2008 | 259 | |
| 6 | 2000 | 227 | |
| 7 | 1998 | 161 | |
| 8 | 2000 | 121 | |
| 9 | 2010 | 90 | |
| 10 | 2001 | 89 | |
| 11 | 2014 | 88 | |
| 12 | 2004 | 75 | |
| 13 | 2014 | 64 | |
| 14 | 2007 | 59 | |
| 15 | 2019 | 42 | |
| 16 | 2021 | 39 | |
| 17 | 2004 | 36 | |
| 18 | 2022 | 33 | |
| 19 | 2019 | 32 | |
| 20 | 2017 | 26 |
About Ute Schaeper
Ute Schaeper is a scholar working on Hepatology, Hematology, Molecular Biology, Genetics and Cancer Research, having authored 37 papers that have together received 2.9k indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers), Protein Tyrosine Phosphatases (4 papers), Magnesium in Health and Disease (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Signaling Pathways in Disease (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Hepatology (271 citations), Molecular Biology (2.2k citations), Cancer Research (317 citations), Genetics (454 citations) and Immunology (318 citations). Ute Schaeper has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Govindasamy Chinnadurai, T. Subramanian, Janice M. Boyd, Walter Birchmeier, Martin M. Sachs, Niels H. Gehring, Scott E. Malstrom, Cleta D’Sa-Eipper, Sumit Verma and Tejas Subramanian. Their work appears in journals such as Blood, APOPTOSIS, The Journal of Cell Biology, Proceedings of the National Academy of Sciences and Scientific Reports.
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.