Jüergen Cox
Impact in
- Spectroscopy top 0.05%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 0.5%
- Metabolomics and Mass Spectrometry Studies
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
Papers in
- Spectroscopy 32
- Advanced Proteomics Techniques and Applications 32
- Mass Spectrometry Techniques and Applications 20
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- Metabolomics and Mass Spectrometry Studies 10
- Genomics and Phylogenetic Studies 6
- Bioinformatics and Genomic Networks 4
- Ubiquitin and proteasome pathways 4
- Gene expression and cancer classification 3
- Machine Learning in Bioinformatics 2
- Co-authors
- Matthias MannStefka TyanovaTamar GeigerNagarjuna NagarajAnnette MichalskiJacek R. WiśniewskiChristoph SchaabMartin Kircher
In The Last Decade
Jüergen Cox
36 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Spectroscopy 4.3k
- Molecular Biology 8.2k
- Cell Biology 990
- Aging 84
- Cancer Research 707
Countries citing papers authored by Jüergen Cox
This map shows the geographic impact of Jüergen Cox'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 Jüergen Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jüergen Cox more than expected).
Fields of papers citing papers by Jüergen Cox
This network shows the impact of papers produced by Jüergen Cox. 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 Jüergen Cox. The network helps show where Jüergen Cox may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jüergen Cox, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | The nucleolus functions as a phase-separated protein quality control compartment Hit paper breakdown → | 2019 | 342 |
| 4 | 2018 | 74 | |
| 5 | 2018 | 271 | |
| 6 | 2016 | 233 | |
| 7 | 2015 | 134 | |
| 8 | 2015 | 70 | |
| 9 | 2015 | 11 | |
| 10 | 2014 | 135 | |
| 11 | 2013 | 186 | |
| 12 | 2012 | 115 | |
| 13 | 1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data Hit paper breakdown → | 2012 | 465 |
| 14 | Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins Hit paper breakdown → | 2012 | 609 |
| 15 | 2011 | 213 | |
| 16 | 2011 | 282 | |
| 17 | 2011 | 328 | |
| 18 | Mass Spectrometry-based Proteomics Using Q Exactive, a High-performance Benchtop Quadrupole Orbitrap Mass Spectrometer Hit paper breakdown → | 2011 | 617 |
| 19 | 2011 | 274 | |
| 20 | 2007 | 378 |
About Jüergen Cox
Jüergen Cox is a scholar working on Spectroscopy, Molecular Biology, Periodontics, Microbiology and Transportation, having authored 37 papers that have together received 11.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (32 papers), Mass Spectrometry Techniques and Applications (20 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Genomics and Phylogenetic Studies (6 papers), Bioinformatics and Genomic Networks (4 papers), Ubiquitin and proteasome pathways (4 papers), Gene expression and cancer classification (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Spectroscopy (4.3k citations), Molecular Biology (8.2k citations), Cell Biology (990 citations), Aging (84 citations) and Cancer Research (707 citations). Jüergen Cox has collaborated with scholars based in Germany, Denmark and Israel. Frequent co-authors include Matthias Mann, Stefka Tyanova, Tamar Geiger, Nagarjuna Nagaraj, Annette Michalski, Jacek R. Wiśniewski, Christoph Schaab, Martin Kircher, Svante Pääbo and Janet Kelso. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Nature Methods, Nature Communications and Molecular Systems 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.