Stephan Beck
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Ubiquitin and proteasome pathways 2
- RNA Interference and Gene Delivery 2
-
- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- John Trowsdale (7 shared papers)Adrian Kelly (2 shared papers)Stephen H. Powis (3 shared papers)Richard Glynne (3 shared papers)Ian Mockridge (2 shared papers)Isabel M. Hanson (1 shared paper)L A Kerr (2 shared papers)Elizabeth Radley (2 shared papers)
- Journals
- Nature (3 papers)European Journal of Immunology (2 papers)Gene (1 paper)Immunogenetics (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United KingdomGermany
In The Last Decade
Stephan Beck
8 papers receiving 1.8k citations
Stephan Beck's Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 895
- Molecular Biology 926
- Oncology 266
- Genetics 270
- Virology 27
Countries citing papers authored by Stephan Beck
This map shows the geographic impact of Stephan Beck'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 Beck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Beck more than expected).
Fields of papers citing papers by Stephan Beck
This network shows the impact of papers produced by Stephan Beck. 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 Beck. The network helps show where Stephan Beck may publish in the future.
Co-authors
The 24 scholars most cited alongside Stephan Beck, 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 | Sequences encoded in the class II region of the MHC related to the 'ABC' superfamily of transporters Hit paper breakdown → | 1990 | 624 |
| 2 | 1991 | 369 | |
| 3 | 2000 | 368 | |
| 4 | 1991 | 309 | |
| 5 | 2000 | 68 | |
| 6 | 1993 | 35 | |
| 7 | 1994 | 7 | |
| 8 | 1991 | 2 |
About Stephan Beck
Stephan Beck is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Ecology, having authored 8 papers that have together received 1.8k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), Ubiquitin and proteasome pathways (2 papers), T-cell and B-cell Immunology (2 papers), RNA Interference and Gene Delivery (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Immunology (895 citations), Molecular Biology (926 citations), Oncology (266 citations), Genetics (270 citations) and Virology (27 citations). Stephan Beck has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include John Trowsdale, Adrian Kelly, Stephen H. Powis, Richard Glynne, Ian Mockridge, Isabel M. Hanson, L A Kerr, Elizabeth Radley, Adrian Kelly and Jiannis Ragoussis. Their work appears in journals such as Nature, European Journal of Immunology, Gene, Immunogenetics and Journal of Cell Science.
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.