Sonja Bastuck
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- Protein Structure and Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
Papers in
-
- Advanced Proteomics Techniques and Applications 4
-
- Fungal and yeast genetics research 2
- Bioinformatics and Genomic Networks 2
- RNA and protein synthesis mechanisms 1
- Nuclear Structure and Function 1
- Co-authors
- Rosario Gil (1 shared paper)Nicole C. Hauser (1 shared paper)Kurt Fellenberg (1 shared paper)José Enrique Pérez-Ortín (1 shared paper)Jörg D. Hoheisel (1 shared paper)Ed Hurt (1 shared paper)Yasar Luqman Ahmed (1 shared paper)Irmgard Sinning (1 shared paper)
- Journals
- Nature (2 papers)Nature Biotechnology (1 paper)Comparative and Functional Genomics (1 paper)Protein Science (1 paper)Methods in molecular biology (1 paper)
In The Last Decade
Sonja Bastuck
6 papers receiving 6.7k citations
Sonja Bastuck's Hit Papers
Peers
Comparison fields: 5 of 113
- Spectroscopy 1.4k
- Molecular Biology 4.9k
- Cell Biology 360
- Structural Biology 38
- Statistical and Nonlinear Physics 176
Countries citing papers authored by Sonja Bastuck
This map shows the geographic impact of Sonja Bastuck'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 Sonja Bastuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Bastuck more than expected).
Fields of papers citing papers by Sonja Bastuck
This network shows the impact of papers produced by Sonja Bastuck. 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 Sonja Bastuck. The network helps show where Sonja Bastuck may publish in the future.
Co-authors
The 20 scholars most cited alongside Sonja Bastuck, 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 | Functional organization of the yeast proteome by systematic analysis of protein complexes Hit paper breakdown → | 2002 | 3891 |
| 2 | Proteome survey reveals modularity of the yeast cell machinery Hit paper breakdown → | 2006 | 2080 |
| 3 | Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors Hit paper breakdown → | 2007 | 905 |
| 4 | 2001 | 49 | |
| 5 | 2016 | 26 | |
| 6 | 2011 | 2 |
About Sonja Bastuck
Sonja Bastuck is a scholar working on Spectroscopy, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 6 papers that have together received 7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Fungal and yeast genetics research (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA and protein synthesis mechanisms (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Spectroscopy (1.4k citations), Molecular Biology (4.9k citations), Cell Biology (360 citations), Structural Biology (38 citations) and Statistical and Nonlinear Physics (176 citations). Sonja Bastuck has collaborated with scholars based in Germany and Spain. Frequent co-authors include Rosario Gil, Nicole C. Hauser, Kurt Fellenberg, José Enrique Pérez-Ortín, Jörg D. Hoheisel, Ed Hurt, Yasar Luqman Ahmed, Irmgard Sinning, Emma Thomson and Matthias Thoms. Their work appears in journals such as Nature, Nature Biotechnology, Comparative and Functional Genomics, Protein Science and Methods in molecular biology.
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.