Jüergen Cox

16.8k total citations · 8 hit papers
37 papers, 11.2k citations indexed

About

Jüergen Cox is a scholar working on Spectroscopy, Molecular Biology and Cell Biology. According to data from OpenAlex, Jüergen Cox has authored 37 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Spectroscopy, 31 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Jüergen Cox's work include Advanced Proteomics Techniques and Applications (32 papers), Mass Spectrometry Techniques and Applications (20 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Jüergen Cox is often cited by papers focused on Advanced Proteomics Techniques and Applications (32 papers), Mass Spectrometry Techniques and Applications (20 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). Jüergen Cox collaborates with scholars based in Germany, Denmark and Israel. Jüergen Cox's co-authors include Matthias Mann, Stefka Tyanova, Tamar Geiger, Nagarjuna Nagaraj, Annette Michalski, Jacek R. Wiśniewski, Christoph Schaab, Janet Kelso, Martin Kircher and Svante Pääbo and has published in prestigious journals such as Science, Nature Communications and Cell Metabolism.

In The Last Decade

Jüergen Cox

36 papers receiving 11.1k citations

Hit Papers

The MaxQuant computational platform for mass spectrometry... 2011 2026 2016 2021 2016 2011 2011 2012 2011 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
    2016 3.1k citations Stefka Tyanova, Jüergen Cox et al. profile →
  2. Deep proteome and transcriptome mapping of a human cancer cell line
    2011 781 citations Nagarjuna Nagaraj, Jacek R. Wiśniewski et al. Molecular Systems Biology profile →
  3. Mass Spectrometry-based Proteomics Using Q Exactive, a High-performance Benchtop Quadrupole Orbitrap Mass Spectrometer
    2011 617 citations Annette Michalski, Eugen Damoc et al. Molecular & Cellular Proteomics profile →
  4. Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins
    2012 609 citations Tamar Geiger, Christoph Schaab et al. Molecular & Cellular Proteomics profile →
  5. More than 100,000 Detectable Peptide Species Elute in Single Shotgun Proteomics Runs but the Majority is Inaccessible to Data-Dependent LC−MS/MS
    2011 518 citations Annette Michalski, Jüergen Cox et al. Journal of Proteome Research profile →
  6. 1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data
    2012 465 citations Jüergen Cox, Matthias Mann profile →
  7. Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research
    2018 374 citations Stefka Tyanova, Jüergen Cox Methods in molecular biology profile →
  8. The nucleolus functions as a phase-separated protein quality control compartment
    2019 342 citations Frédéric Frottin, Florian Schueder et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jüergen Cox Germany 31 8.2k 4.3k 990 772 716 37 11.2k
David L. Tabb United States 44 8.6k 1.1× 5.1k 1.2× 845 0.9× 660 0.9× 829 1.2× 112 12.2k
Paola Picotti Switzerland 45 7.3k 0.9× 3.6k 0.8× 776 0.8× 791 1.0× 1.0k 1.5× 110 10.5k
Andrew Keller United States 30 7.9k 1.0× 4.2k 1.0× 1.0k 1.0× 802 1.0× 1.1k 1.5× 65 11.5k
Martin R. Larsen Denmark 59 8.4k 1.0× 4.0k 0.9× 1.2k 1.2× 955 1.2× 882 1.2× 260 13.0k
Yasset Pérez‐Riverol United Kingdom 29 8.0k 1.0× 2.8k 0.6× 987 1.0× 838 1.1× 1.0k 1.4× 86 12.0k
Alexandre Zougman United Kingdom 24 6.2k 0.8× 2.1k 0.5× 827 0.8× 693 0.9× 763 1.1× 36 9.3k
Hanno Steen United States 54 10.4k 1.3× 6.1k 1.4× 1.5k 1.5× 1.2k 1.6× 783 1.1× 218 15.1k
Chanchal Kumar Germany 26 8.4k 1.0× 2.8k 0.7× 1.2k 1.2× 1.4k 1.9× 506 0.7× 35 10.8k
David Camp United States 61 7.5k 0.9× 5.0k 1.2× 733 0.7× 733 0.9× 754 1.1× 152 11.7k
Jean‐Charles Sanchez Switzerland 61 8.3k 1.0× 4.5k 1.0× 793 0.8× 657 0.9× 1.1k 1.5× 225 13.3k

Countries citing papers authored by Jüergen Cox

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Jüergen Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Jüergen Cox. A scholar is included among the top collaborators of Jüergen Cox based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jüergen Cox. Jüergen Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cox, Jüergen, et al.. (2025). ProteoPlotter: An Executable Proteomics Visualization Tool Compatible with Perseus. Journal of Proteome Research. 24(6). 2698–2708. 2 indexed citations
2.
Cox, Jüergen, et al.. (2025). Facilitating analysis and dissemination of proteomics data through metadata integration in MaxQuant. Nature Communications. 16(1). 8421–8421. 1 indexed citations
3.
Frottin, Frédéric, Florian Schueder, Shivani Tiwary, et al.. (2019). The nucleolus functions as a phase-separated protein quality control compartment. Science. 365(6451). 342–347. 342 indexed citations breakdown →
4.
Meier, Florian, Philipp E. Geyer, Sebastian Virreira Winter, Jüergen Cox, & Matthias Mann. (2018). BoxCar acquisition method enables single-shot proteomics at a depth of 10,000 proteins in 100 minutes. Nature Methods. 15(6). 440–448. 271 indexed citations
5.
Winter, Sebastian Virreira, Florian Meier, Christoph Wichmann, et al.. (2018). EASI-tag enables accurate multiplexed and interference-free MS2-based proteome quantification. Nature Methods. 15(7). 527–530. 74 indexed citations
6.
Tyanova, Stefka & Jüergen Cox. (2018). Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Research. Methods in molecular biology. 1711. 133–148. 374 indexed citations breakdown →
7.
Tyanova, Stefka, Reidar Albrechtsen, Pauliina Kronqvist, et al.. (2016). Proteomic maps of breast cancer subtypes. Nature Communications. 7(1). 10259–10259. 233 indexed citations
8.
Michalski, Annette, Oliver Raether, Markus Lubeck, et al.. (2015). The Impact II, a Very High-Resolution Quadrupole Time-of-Flight Instrument (QTOF) for Deep Shotgun Proteomics *. Molecular & Cellular Proteomics. 14(7). 2014–2029. 134 indexed citations
9.
Deeb, Sally J., Stefka Tyanova, Michael Hummel, et al.. (2015). Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles. Molecular & Cellular Proteomics. 14(11). 2947–2960. 70 indexed citations
10.
Azimifar, S. Babak, Nagarjuna Nagaraj, Jüergen Cox, & Matthias Mann. (2014). Cell-Type-Resolved Quantitative Proteomics of Murine Liver. Cell Metabolism. 20(6). 1076–1087. 135 indexed citations
11.
Cox, Jüergen. (2013). Development of a permanent system to record and analyse Bluetooth travel time and SCATS lane count data.
12.
Geiger, Tamar, Ana Velić, Boris Maček, et al.. (2013). Initial Quantitative Proteomic Map of 28 Mouse Tissues Using the SILAC Mouse. Molecular & Cellular Proteomics. 12(6). 1709–1722. 186 indexed citations
13.
Geiger, Tamar, Stephen F. Madden, William M. Gallagher, Jüergen Cox, & Matthias Mann. (2012). Proteomic Portrait of Human Breast Cancer Progression Identifies Novel Prognostic Markers. Cancer Research. 72(9). 2428–2439. 115 indexed citations
14.
Schaab, Christoph, Tamar Geiger, Gabriele Stoehr, Jüergen Cox, & Matthias Mann. (2012). Analysis of High Accuracy, Quantitative Proteomics Data in the MaxQB Database. Molecular & Cellular Proteomics. 11(3). M111.014068–M111.014068. 138 indexed citations
15.
Nagaraj, Nagarjuna, Nils A. Kulak, Jüergen Cox, et al.. (2011). System-wide Perturbation Analysis with Nearly Complete Coverage of the Yeast Proteome by Single-shot Ultra HPLC Runs on a Bench Top Orbitrap. Molecular & Cellular Proteomics. 11(3). M111.013722–M111.013722. 328 indexed citations
16.
Michalski, Annette, Eugen Damoc, Oliver Lange, et al.. (2011). Ultra High Resolution Linear Ion Trap Orbitrap Mass Spectrometer (Orbitrap Elite) Facilitates Top Down LC MS/MS and Versatile Peptide Fragmentation Modes. Molecular & Cellular Proteomics. 11(3). O111.013698–O111.013698. 282 indexed citations
17.
Nagaraj, Nagarjuna, Jacek R. Wiśniewski, Tamar Geiger, et al.. (2011). Deep proteome and transcriptome mapping of a human cancer cell line. Molecular Systems Biology. 7(1). 548–548. 781 indexed citations breakdown →
18.
Michalski, Annette, Eugen Damoc, Oliver Lange, et al.. (2011). Mass Spectrometry-based Proteomics Using Q Exactive, a High-performance Benchtop Quadrupole Orbitrap Mass Spectrometer. Molecular & Cellular Proteomics. 10(9). M111.011015–M111.011015. 617 indexed citations breakdown →
19.
Geiger, Tamar, Jüergen Cox, & Matthias Mann. (2010). Proteomics on an Orbitrap Benchtop Mass Spectrometer Using All-ion Fragmentation. Molecular & Cellular Proteomics. 9(10). 2252–2261. 195 indexed citations
20.
Gnad, Florian, Shubin Ren, Jüergen Cox, et al.. (2007). PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites. Genome biology. 8(11). R250–R250. 378 indexed citations

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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