Ulf Eidhoff
Impact in
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- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Glycosylation and Glycoproteins Research
Papers in
- Oncology 3
- Peptidase Inhibition and Analysis 2
- CAR-T cell therapy research 1
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- Ubiquitin and proteasome pathways 4
- Heat shock proteins research 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Ulrich Hassiepen (3 shared papers)Bernd Gerhartz (4 shared papers)Susanne Worpenberg (3 shared papers)Martin Renatus (2 shared papers)Benoı̂t Pierrat (1 shared paper)Allan D'Arcy (1 shared paper)M. Kroemer (1 shared paper)Ralph Riedl (1 shared paper)
- Journals
- Analytical Biochemistry (2 papers)Cell Death and Differentiation (1 paper)Structure (1 paper)Journal of Molecular Biology (1 paper)Acta Crystallographica Section F Structural Biology Communications (1 paper)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Ulf Eidhoff
8 papers receiving 402 citations
Peers
Comparison fields: 5 of 57
- Oncology 168
- Molecular Biology 355
- Cell Biology 43
- Cancer Research 33
- Computational Theory and Mathematics 31
Countries citing papers authored by Ulf Eidhoff
This map shows the geographic impact of Ulf Eidhoff'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 Ulf Eidhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Eidhoff more than expected).
Fields of papers citing papers by Ulf Eidhoff
This network shows the impact of papers produced by Ulf Eidhoff. 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 Ulf Eidhoff. The network helps show where Ulf Eidhoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulf Eidhoff, 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 | 2006 | 188 | |
| 2 | 2007 | 95 | |
| 3 | 2005 | 54 | |
| 4 | 2005 | 44 | |
| 5 | Increased oncogenicity of subclones of SV40 large T-induced neuroectodermal tumor cell lines after loss of large T expression and concomitant mutation in p53. | 1999 | 28 |
| 6 | 2017 | 14 | |
| 7 | 2014 | 5 | |
| 8 | 2007 | 3 |
About Ulf Eidhoff
Ulf Eidhoff is a scholar working on Oncology, Molecular Biology, Biotechnology, Cancer Research and Pharmacology, having authored 8 papers that have together received 431 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Heat shock proteins research (2 papers), Peptidase Inhibition and Analysis (2 papers), Nanocluster Synthesis and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Cancer Research and Treatments (1 paper), Autophagy in Disease and Therapy (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Oncology (168 citations), Molecular Biology (355 citations), Cell Biology (43 citations), Cancer Research (33 citations) and Computational Theory and Mathematics (31 citations). Ulf Eidhoff has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Ulrich Hassiepen, Bernd Gerhartz, Susanne Worpenberg, Martin Renatus, Benoı̂t Pierrat, Allan D'Arcy, M. Kroemer, Ralph Riedl, Andreas E. Hein and Edwige Lorthiois. Their work appears in journals such as Analytical Biochemistry, Cell Death and Differentiation, Structure, Journal of Molecular Biology and Acta Crystallographica Section F Structural Biology Communications.
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.