Silke Wiesner
Impact in
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- RNA Research and Splicing
- Cancer-related gene regulation
- Cell Biology top 5%
Papers in
-
- Ubiquitin and proteasome pathways 10
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 4
- Protein Degradation and Inhibitors 3
- RNA Research and Splicing 3
- Glycosylation and Glycoproteins Research 2
- Oncology 5
- Peptidase Inhibition and Analysis 3
- Co-authors
- María J. Macias (3 shared papers)Marius Sudol (1 shared paper)Julie D. Forman‐Kay (5 shared papers)Frank Sicheri (4 shared papers)Jeffrey L. Wrana (2 shared papers)Abiodun A. Ogunjimi (2 shared papers)Daniela Rotin (2 shared papers)Remco Sprangers (1 shared paper)
- Journals
- Journal of Molecular Biology (5 papers)Structure (2 papers)Journal of Biological Chemistry (2 papers)Molecular Cell (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Silke Wiesner
22 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.3k
- Cell Biology 244
- Spectroscopy 194
- Oncology 242
- Biophysics 44
Countries citing papers authored by Silke Wiesner
This map shows the geographic impact of Silke Wiesner'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 Silke Wiesner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silke Wiesner more than expected).
Fields of papers citing papers by Silke Wiesner
This network shows the impact of papers produced by Silke Wiesner. 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 Silke Wiesner. The network helps show where Silke Wiesner may publish in the future.
Co-authors
The 25 scholars most cited alongside Silke Wiesner, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 395 | |
| 2 | 2007 | 219 | |
| 3 | 2007 | 147 | |
| 4 | 2006 | 82 | |
| 5 | 2009 | 75 | |
| 6 | 2014 | 71 | |
| 7 | 2002 | 70 | |
| 8 | 2015 | 68 | |
| 9 | 2007 | 65 | |
| 10 | 2005 | 61 | |
| 11 | 2009 | 57 | |
| 12 | 1999 | 51 | |
| 13 | 2018 | 39 | |
| 14 | 2005 | 32 | |
| 15 | 2012 | 30 | |
| 16 | 2018 | 28 | |
| 17 | 2008 | 25 | |
| 18 | 2018 | 23 | |
| 19 | 2018 | 13 | |
| 20 | 2009 | 10 |
About Silke Wiesner
Silke Wiesner is a scholar working on Molecular Biology, Oncology, Cell Biology, Materials Chemistry and Spectroscopy, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers), Protein Degradation and Inhibitors (3 papers), RNA Research and Splicing (3 papers), Enzyme Structure and Function (3 papers), Peptidase Inhibition and Analysis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (244 citations), Spectroscopy (194 citations), Oncology (242 citations) and Biophysics (44 citations). Silke Wiesner has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include María J. Macias, Marius Sudol, Julie D. Forman‐Kay, Frank Sicheri, Jeffrey L. Wrana, Abiodun A. Ogunjimi, Daniela Rotin, Remco Sprangers, Hongrui Wang and Lewis E. Kay. Their work appears in journals such as Journal of Molecular Biology, Structure, Journal of Biological Chemistry, Molecular Cell and Nature 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.