Bernhard Küster
Impact in
- Spectroscopy top 0.01%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 0.05%
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
Papers in
- Spectroscopy 122
- Advanced Proteomics Techniques and Applications 113
- Mass Spectrometry Techniques and Applications 73
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- Metabolomics and Mass Spectrometry Studies 37
- Ubiquitin and proteasome pathways 36
- Glycosylation and Glycoproteins Research 25
- Protein Degradation and Inhibitors 24
- Genomics and Phylogenetic Studies 17
- RNA modifications and cancer 16
- Co-authors
- Marcus Bantscheff (14 shared papers)Markus Schirle (5 shared papers)Matthias Mann (12 shared papers)Hannes Hahne (35 shared papers)Mikhail M. Savitski (9 shared papers)Mathias Wilhelm (42 shared papers)Simone Lemeer (22 shared papers)Gavain M. A. Sweetman (3 shared papers)
- Journals
- Molecular & Cellular Proteomics (32 papers)Journal of Proteome Research (20 papers)Nature Communications (18 papers)PROTEOMICS (13 papers)Cell Reports (9 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Bernhard Küster
341 papers receiving 35.7k citations
Bernhard Küster's Hit Papers
Peers
Comparison fields: 5 of 193
- Spectroscopy 9.5k
- Molecular Biology 26.4k
- Cell Biology 2.6k
- Aging 272
- Cancer Research 1.7k
Countries citing papers authored by Bernhard Küster
This map shows the geographic impact of Bernhard Küster'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 Bernhard Küster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Küster more than expected).
Fields of papers citing papers by Bernhard Küster
This network shows the impact of papers produced by Bernhard Küster. 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 Bernhard Küster. The network helps show where Bernhard Küster may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard Küster, 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 353 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Functional organization of the yeast proteome by systematic analysis of protein complexes Hit paper breakdown → | 2002 | 3903 |
| 2 | Proteome survey reveals modularity of the yeast cell machinery Hit paper breakdown → | 2006 | 2068 |
| 3 | Mass-spectrometry-based draft of the human proteome Hit paper breakdown → | 2014 | 1505 |
| 4 | Quantitative mass spectrometry in proteomics: a critical review Hit paper breakdown → | 2007 | 1323 |
| 5 | Tracking cancer drugs in living cells by thermal profiling of the proteome Hit paper breakdown → | 2014 | 921 |
| 6 | Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors Hit paper breakdown → | 2007 | 902 |
| 7 | A physical and functional map of the human TNF-α/NF-κB signal transduction pathway Hit paper breakdown → | 2004 | 898 |
| 8 | The target landscape of clinical kinase drugs Hit paper breakdown → | 2017 | 657 |
| 9 | Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present Hit paper breakdown → | 2012 | 618 |
| 10 | Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning Hit paper breakdown → | 2019 | 612 |
| 11 | 2006 | 591 | |
| 12 | High-fat diet alters gut microbiota physiology in mice Hit paper breakdown → | 2013 | 577 |
| 13 | A deep proteome and transcriptome abundance atlas of 29 healthy human tissues Hit paper breakdown → | 2019 | 511 |
| 14 | Multilevel proteomics reveals host perturbations by SARS-CoV-2 and SARS-CoV Hit paper breakdown → | 2021 | 500 |
| 15 | 2000 | 498 | |
| 16 | 2016 | 442 | |
| 17 | 2002 | 400 | |
| 18 | Mass-spectrometry-based draft of the Arabidopsis proteome Hit paper breakdown → | 2020 | 373 |
| 19 | 2015 | 348 | |
| 20 | 2011 | 344 |
About Bernhard Küster
Bernhard Küster is a scholar working on Spectroscopy, Molecular Biology, Cell Biology, Oncology and Cancer Research, having authored 353 papers that have together received 36.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (113 papers), Mass Spectrometry Techniques and Applications (73 papers), Metabolomics and Mass Spectrometry Studies (37 papers), Ubiquitin and proteasome pathways (36 papers), Glycosylation and Glycoproteins Research (25 papers), Protein Degradation and Inhibitors (24 papers), Genomics and Phylogenetic Studies (17 papers) and RNA modifications and cancer (16 papers). The work is most often cited by research in Spectroscopy (9.5k citations), Molecular Biology (26.4k citations), Cell Biology (2.6k citations), Aging (272 citations) and Cancer Research (1.7k citations). Bernhard Küster has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Marcus Bantscheff, Markus Schirle, Matthias Mann, Hannes Hahne, Mikhail M. Savitski, Mathias Wilhelm, Simone Lemeer, Gavain M. A. Sweetman, Parag Mallick and Chen Yang Meng. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Nature Communications, PROTEOMICS and Cell Reports.
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.