Uta Bertsch
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 41
- Multiple Myeloma Research and Treatments 41
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- Protein Degradation and Inhibitors 21
- Ubiquitin and proteasome pathways 8
- Glycosylation and Glycoproteins Research 3
- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- Hartmut Goldschmidt (42 shared papers)Dirk Hose (27 shared papers)Anna Jauch (15 shared papers)Bronno van der Holt (6 shared papers)Henk M. Lokhorst (6 shared papers)Laila el Jarari (6 shared papers)Annemiek Broyl (6 shared papers)Pieter Sonneveld (6 shared papers)
- Journals
- Blood (17 papers)Blood Advances (3 papers)Haematologica (3 papers)Cancers (2 papers)Oncotarget (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Uta Bertsch
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Hematology 920
- Oncology 577
- Molecular Biology 852
- Genetics 92
- Cancer Research 79
Countries citing papers authored by Uta Bertsch
This map shows the geographic impact of Uta Bertsch'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 Uta Bertsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta Bertsch more than expected).
Fields of papers citing papers by Uta Bertsch
This network shows the impact of papers produced by Uta Bertsch. 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 Uta Bertsch. The network helps show where Uta Bertsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Uta Bertsch, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 223 | |
| 2 | 2010 | 173 | |
| 3 | 2009 | 127 | |
| 4 | 2010 | 112 | |
| 5 | 2009 | 104 | |
| 6 | 2012 | 102 | |
| 7 | 2009 | 62 | |
| 8 | 2021 | 53 | |
| 9 | 2016 | 47 | |
| 10 | 2016 | 31 | |
| 11 | 2017 | 22 | |
| 12 | 2023 | 20 | |
| 13 | 2021 | 18 | |
| 14 | 2018 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2013 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2017 | 12 | |
| 19 | 2013 | 9 | |
| 20 | 2019 | 9 |
About Uta Bertsch
Uta Bertsch is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (41 papers), Protein Degradation and Inhibitors (21 papers), Cancer Treatment and Pharmacology (10 papers), Peptidase Inhibition and Analysis (9 papers), Ubiquitin and proteasome pathways (8 papers), Glycosylation and Glycoproteins Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (920 citations), Oncology (577 citations), Molecular Biology (852 citations), Genetics (92 citations) and Cancer Research (79 citations). Uta Bertsch has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Hartmut Goldschmidt, Dirk Hose, Anna Jauch, Bronno van der Holt, Henk M. Lokhorst, Laila el Jarari, Annemiek Broyl, Pieter Sonneveld, Mark van Duin and Anja Seckinger. Their work appears in journals such as Blood, Blood Advances, Haematologica, Cancers and Oncotarget.
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.