Stephan Schlenker
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Fungal and yeast genetics research
- Glycosylation and Glycoproteins Research
Papers in
-
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 2
- RNA and protein synthesis mechanisms 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Genetics 3
- Genetics and Neurodevelopmental Disorders 1
- Animal Genetics and Reproduction 1
- Co-authors
- Stefan Jentsch (4 shared papers)Helle D. Ulrich (2 shared papers)Thorsten Hoppe (2 shared papers)Manfred Koegl (1 shared paper)Thomas U. Mayer (1 shared paper)Michael Rapé (1 shared paper)Kai Matuschewski (1 shared paper)H Kraus (1 shared paper)
- Journals
- Cell (3 papers)ChemBioChem (1 paper)Journal of Biological Chemistry (1 paper)Biological Chemistry (1 paper)Journal of Virological Methods (1 paper)
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Stephan Schlenker
7 papers receiving 1.7k citations
Stephan Schlenker's Hit Papers
Peers
Comparison fields: 5 of 78
- Cell Biology 545
- Molecular Biology 1.5k
- Aging 26
- Biochemistry 99
- Clinical Biochemistry 86
Countries citing papers authored by Stephan Schlenker
This map shows the geographic impact of Stephan Schlenker'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 Stephan Schlenker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Schlenker more than expected).
Fields of papers citing papers by Stephan Schlenker
This network shows the impact of papers produced by Stephan Schlenker. 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 Stephan Schlenker. The network helps show where Stephan Schlenker may publish in the future.
Co-authors
The 14 scholars most cited alongside Stephan Schlenker, 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 | A Novel Ubiquitination Factor, E4, Is Involved in Multiubiquitin Chain Assembly Hit paper breakdown → | 1999 | 834 |
| 2 | 2000 | 488 | |
| 3 | 1995 | 220 | |
| 4 | 1974 | 140 | |
| 5 | 1996 | 66 | |
| 6 | 2006 | 16 | |
| 7 | 1991 | 6 |
About Stephan Schlenker
Stephan Schlenker is a scholar working on Molecular Biology, Genetics, Cell Biology, Virology and Endocrine and Autonomic Systems, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA and protein synthesis mechanisms (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Poxvirus research and outbreaks (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Cell Biology (545 citations), Molecular Biology (1.5k citations), Aging (26 citations), Biochemistry (99 citations) and Clinical Biochemistry (86 citations). Stephan Schlenker has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Stefan Jentsch, Helle D. Ulrich, Thorsten Hoppe, Manfred Koegl, Thomas U. Mayer, Michael Rapé, Kai Matuschewski, H Kraus, René Bernards and Guus Hateboer. Their work appears in journals such as Cell, ChemBioChem, Journal of Biological Chemistry, Biological Chemistry and Journal of Virological Methods.
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.