Bernhard Küster

47.0k citations
288 papers · 21.3k · 9 hit papers · h-index 75

Impact in

  • Spectroscopy top 0.02%
    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • Glycosylation and Glycoproteins Research
    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • Gut microbiota and health

Papers in

    • Metabolomics and Mass Spectrometry Studies 30
    • Ubiquitin and proteasome pathways 29
    • Glycosylation and Glycoproteins Research 26
    • Protein Degradation and Inhibitors 18
    • RNA modifications and cancer 16
    • Genomics and Phylogenetic Studies 14
    • Advanced Proteomics Techniques and Applications 96
    • Mass Spectrometry Techniques and Applications 62

Bernhard Küster

279 papers receiving 20.9k citations

Bernhard Küster's Hit Papers

Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS 2020 · 254 citations
2540+8+17Years since publication4008001.2k

Peers

Bernhard Küster
Comparison fields: 5 of 178
  • Spectroscopy 7.0k
  • Molecular Biology 15.0k
  • Aging 198
  • Cell Biology 1.4k
  • Cancer Research 948
Replace Jacek R. Wiśniewski with:
Jacek R. Wiśniewski Germany
Ole N. Jensen Denmark
Yasushi Ishihama Japan
Joshua E. Elias United States
Christoph H. Borchers Canada
Michael J. MacCoss United States
Harald Mischak Germany
Joshua J. Coon United States
Henning Hermjakob United Kingdom
Alexey I. Nesvizhskii United States
Bernhard Küster relative to Jacek R. Wiśniewski Germany Jacek R. Wiśniewski's profile →
Citations per field
00.5×1.5×1.8×
Jacek R. Wiśniewski · 1×
Citations per year

Countries citing papers authored by Bernhard Küster

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bernhard Küster Line = papers co-authored together Bernhard Küster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 288 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative mass spectrometry in proteomics: a critical review
Hit paper breakdown →
20071320
2
Tracking cancer drugs in living cells by thermal profiling of the proteome
Hit paper breakdown →
2014850
3
Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present
Hit paper breakdown →
2012618
4
Computational prediction of proteotypic peptides for quantitative proteomics
Hit paper breakdown →
2006577
5
High-fat diet alters gut microbiota physiology in mice
Hit paper breakdown →
2013564
6
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
Hit paper breakdown →
2019552
7
Cell-cycle-regulated association of RAD50/MRE11/NBS1 with TRF2 and human telomeres
Hit paper breakdown →
2000509
8
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
Hit paper breakdown →
2019469
9 2002397
10 2003324
11 1997323
12 2010320
13 2015317
14 2004312
15 2005301
16 2016279
17 2001268
18 2011267
19 2019264
20
Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC–MS/MS
Hit paper breakdown →
2020254

About Bernhard Küster

Bernhard Küster is a scholar working on Molecular Biology, Spectroscopy, Oncology, Plant Science and Organic Chemistry, having authored 288 papers that have together received 21.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (96 papers), Mass Spectrometry Techniques and Applications (62 papers), Metabolomics and Mass Spectrometry Studies (30 papers), Ubiquitin and proteasome pathways (29 papers), Glycosylation and Glycoproteins Research (26 papers), Protein Degradation and Inhibitors (18 papers), RNA modifications and cancer (16 papers) and Genomics and Phylogenetic Studies (14 papers). The work is most often cited by research in Spectroscopy (7.0k citations), Molecular Biology (15.0k citations), Aging (198 citations), Cell Biology (1.4k citations) and Cancer Research (948 citations). Bernhard Küster has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Marcus Bantscheff, Markus Schirle, Hannes Hahne, Matthias Mann, Mikhail M. Savitski, Simone Lemeer, Gavain M.A. Sweetman, Mathias Wilhelm, Parag Mallick and Jens M. Rick. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, PROTEOMICS, Nature Communications and Journal of Biological Chemistry.

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.

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