Ruedi Aebersold

172.4k total citations · 38 hit papers
783 papers, 117.7k citations indexed

About

Ruedi Aebersold is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Ruedi Aebersold has authored 783 papers receiving a total of 117.7k indexed citations (citations by other indexed papers that have themselves been cited), including 636 papers in Molecular Biology, 407 papers in Spectroscopy and 63 papers in Cell Biology. Recurrent topics in Ruedi Aebersold's work include Advanced Proteomics Techniques and Applications (383 papers), Mass Spectrometry Techniques and Applications (254 papers) and Metabolomics and Mass Spectrometry Studies (153 papers). Ruedi Aebersold is often cited by papers focused on Advanced Proteomics Techniques and Applications (383 papers), Mass Spectrometry Techniques and Applications (254 papers) and Metabolomics and Mass Spectrometry Studies (153 papers). Ruedi Aebersold collaborates with scholars based in Switzerland, United States and Canada. Ruedi Aebersold's co-authors include Matthias Mann, Alexey I. Nesvizhskii, Steven P. Gygi, Andrew Keller, Eugene Kolker, Bruno Domon, David R. Goodlett, Paola Picotti, Yvan Rochon and Jimmy K. Eng and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ruedi Aebersold

779 papers receiving 115.3k citations

Hit Papers

Mass spectrometry-based p... 1985 2026 1998 2012 2003 2002 2003 1999 1999 1000 2.0k 3.0k 4.0k 5.0k
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. Mass spectrometry-based proteomics
    2003 5.1k citations Ruedi Aebersold et al. profile →
  2. Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search
    2002 4.1k citations Alexey I. Nesvizhskii, Ruedi Aebersold et al. profile →
  3. A Statistical Model for Identifying Proteins by Tandem Mass Spectrometry
    2003 3.9k citations Alexey I. Nesvizhskii, Ruedi Aebersold et al. profile →
  4. Quantitative analysis of complex protein mixtures using isotope-coded affinity tags
    1999 3.6k citations Ruedi Aebersold et al. profile →
  5. Molecular characterization of mitochondrial apoptosis-inducing factor
    1999 3.3k citations David R. Goodlett, Ruedi Aebersold et al. profile →
  6. Correlation between Protein and mRNA Abundance in Yeast
    1999 3.0k citations Ruedi Aebersold et al. profile →
  7. On the Dependency of Cellular Protein Levels on mRNA Abundance
    2016 2.1k citations Yansheng Liu, Andreas Beyer et al. Cell profile →
  8. Targeted Data Extraction of the MS/MS Spectra Generated by Data-independent Acquisition: A New Concept for Consistent and Accurate Proteome Analysis
    2012 2.1k citations Ludovic Gillet, Pedro Navarro et al. Molecular & Cellular Proteomics profile →
  9. Mass Spectrometry and Protein Analysis
    2006 1.6k citations Bruno Domon, Ruedi Aebersold Science profile →
  10. Integrated Genomic and Proteomic Analyses of a Systematically Perturbed Metabolic Network
    2001 1.5k citations David R. Goodlett, Ruedi Aebersold et al. Science profile →
  11. Mass-spectrometric exploration of proteome structure and function
    2016 1.5k citations Ruedi Aebersold et al. profile →
  12. Identification and quantification of N-linked glycoproteins using hydrazide chemistry, stable isotope labeling and mass spectrometry
    2003 1.2k citations Ruedi Aebersold et al. profile →
  13. A cellular gene encodes scrapie PrP 27-30 protein
    1985 1.2k citations Ruedi Aebersold et al. Cell profile →
  14. Selected reaction monitoring for quantitative proteomics: a tutorial
    2008 1.1k citations Vinzenz Lange, Paola Picotti et al. Molecular Systems Biology profile →
  15. Regulation of 4E-BP1 phosphorylation: a novel two-step mechanism
    1999 1.1k citations Ruedi Aebersold et al. profile →
  16. Evaluation of two-dimensional gel electrophoresis-based proteome analysis technology
    2000 1.0k citations Garry L. Corthals, Ruedi Aebersold et al. profile →
  17. Mass Spectrometry in Proteomics
    2001 989 citations Ruedi Aebersold, David R. Goodlett profile →
  18. Selected reaction monitoring–based proteomics: workflows, potential, pitfalls and future directions
    2012 957 citations Paola Picotti, Ruedi Aebersold Nature Methods profile →
  19. NAD + repletion improves mitochondrial and stem cell function and enhances life span in mice
    2016 904 citations Yibo Wu, Ruedi Aebersold et al. Science profile →
  20. Crucial Step in Cholesterol Homeostasis
    2002 832 citations Ruedi Aebersold et al. Cell profile →
  21. Interpretation of Shotgun Proteomic Data
    2005 801 citations Alexey I. Nesvizhskii, Ruedi Aebersold Molecular & Cellular Proteomics profile →
  22. Data‐independent acquisition‐based SWATH ‐ MS for quantitative proteomics: a tutorial
    2018 719 citations Christina Ludwig, Ludovic Gillet et al. Molecular Systems Biology profile →
  23. Hierarchical phosphorylation of the translation inhibitor 4E-BP1
    2001 707 citations Ruedi Aebersold et al. profile →
  24. Smooth Muscle Cell Phenotypic Transition Associated With Calcification
    2001 701 citations Ruedi Aebersold et al. profile →
  25. Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cells
    2004 647 citations Eugene C. Yi, David R. Goodlett et al. Molecular & Cellular Proteomics profile →
  26. The quantitative proteome of a human cell line
    2011 618 citations Martin Beck, Alexander Schmidt et al. Molecular Systems Biology profile →
  27. Full Dynamic Range Proteome Analysis of S. cerevisiae by Targeted Proteomics
    2009 608 citations Paola Picotti, Bruno Domon et al. Cell profile →
  28. A guided tour of the Trans‐Proteomic Pipeline
    2010 601 citations Eric W. Deutsch, Terry Farrah et al. profile →
  29. A systematic approach to the analysis of protein phosphorylation
    2001 596 citations Ruedi Aebersold et al. profile →
  30. A uniform proteomics MS/MS analysis platform utilizing open XML file formats
    2005 583 citations Ruedi Aebersold et al. Molecular Systems Biology profile →
  31. An Essential Switch in Subunit Composition of a Chromatin Remodeling Complex during Neural Development
    2007 559 citations Ruedi Aebersold et al. profile →
  32. Computational prediction of proteotypic peptides for quantitative proteomics
    2006 551 citations Ruedi Aebersold et al. profile →
  33. Analysis of protein complexes using mass spectrometry
    2007 539 citations Ruedi Aebersold et al. profile →
  34. The quantitative and condition-dependent Escherichia coli proteome
    2015 536 citations Alexander Schmidt, Ruedi Aebersold et al. profile →
  35. Complementary Profiling of Gene Expression at the Transcriptome and Proteome Levels in Saccharomyces cerevisiae
    2002 534 citations Ruedi Aebersold et al. Molecular & Cellular Proteomics profile →
  36. A brain-specific activator of cyclin-dependent kinase 5
    1994 510 citations Ruedi Aebersold et al. profile →
  37. diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition
    2020 489 citations Ruedi Aebersold, Ben C. Collins et al. Nature Methods profile →
  38. Dual Specificity Kinase DYRK3 Couples Stress Granule Condensation/Dissolution to mTORC1 Signaling
    2013 469 citations Ruedi Aebersold et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruedi Aebersold Switzerland 160 86.7k 43.7k 9.8k 9.0k 8.5k 783 117.7k
John R. Yates United States 161 78.4k 0.9× 25.9k 0.6× 17.4k 1.8× 7.2k 0.8× 6.2k 0.7× 995 108.9k
Steven P. Gygi United States 166 88.4k 1.0× 19.2k 0.4× 18.1k 1.8× 12.4k 1.4× 7.9k 0.9× 695 121.5k
Matthias Mann Germany 214 150.8k 1.7× 62.2k 1.4× 24.0k 2.4× 17.3k 1.9× 18.1k 2.1× 845 215.4k
Ad Bax United States 131 61.5k 0.7× 25.3k 0.6× 6.0k 0.6× 4.0k 0.4× 3.7k 0.4× 464 89.2k
Albert J. R. Heck Netherlands 111 33.6k 0.4× 17.2k 0.4× 4.7k 0.5× 4.8k 0.5× 4.4k 0.5× 815 50.5k
Roger Y. Tsien United States 151 70.9k 0.8× 6.0k 0.1× 11.9k 1.2× 4.3k 0.5× 6.2k 0.7× 321 111.4k
Kurt Wüthrich Switzerland 130 65.0k 0.7× 16.8k 0.4× 6.9k 0.7× 3.7k 0.4× 3.6k 0.4× 653 83.0k
Lance A. Liotta United States 129 34.6k 0.4× 7.6k 0.2× 6.1k 0.6× 16.9k 1.9× 4.4k 0.5× 658 62.1k
Steven A. Carr United States 108 31.7k 0.4× 9.2k 0.2× 6.3k 0.6× 5.4k 0.6× 3.5k 0.4× 372 44.4k
Peer Bork Germany 151 97.1k 1.1× 3.2k 0.1× 8.4k 0.9× 7.0k 0.8× 10.0k 1.2× 524 145.9k

Countries citing papers authored by Ruedi Aebersold

Since Specialization
Citations

This map shows the geographic impact of Ruedi Aebersold'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 Ruedi Aebersold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruedi Aebersold more than expected).

Fields of papers citing papers by Ruedi Aebersold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruedi Aebersold. 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 Ruedi Aebersold. The network helps show where Ruedi Aebersold may publish in the future.

Co-authorship network of co-authors of Ruedi Aebersold

This figure shows the co-authorship network connecting the top 25 collaborators of Ruedi Aebersold. A scholar is included among the top collaborators of Ruedi Aebersold 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 Ruedi Aebersold. Ruedi Aebersold 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.
2.
Statzer, Cyril, Ingmar Schoen, M. W. Hess, et al.. (2024). Longevity interventions modulate mechanotransduction and extracellular matrix homeostasis in C. elegans. Nature Communications. 15(1). 276–276. 14 indexed citations
3.
Kasinath, Vignesh, Paul Sauer, Simon Poepsel, et al.. (2021). JARID2 and AEBP2 regulate PRC2 in the presence of H2AK119ub1 and other histone modifications. Science. 371(6527). 138 indexed citations
4.
Heusel, Moritz, Julien Duc, Cécile Piot, et al.. (2019). The interactome of KRAB zinc finger proteins reveals the evolutionary history of their functional diversification. The EMBO Journal. 38(18). e101220–e101220. 64 indexed citations
5.
Kasinath, Vignesh, Marco Faini, Simon Poepsel, et al.. (2018). Structures of human PRC2 with its cofactors AEBP2 and JARID2. Science. 359(6378). 940–944. 142 indexed citations
6.
7.
Schubert, Olga T., Hannes Röst, Ben C. Collins, George Rosenberger, & Ruedi Aebersold. (2017). Quantitative proteomics: challenges and opportunities in basic and applied research. Nature Protocols. 12(7). 1289–1294. 189 indexed citations
8.
Malone, Kerri M., Damien Farrell, Tod Stuber, et al.. (2017). Updated Reference Genome Sequence and Annotation of Mycobacterium bovis AF2122/97. Genome Announcements. 5(14). 36 indexed citations
9.
Liu, Yansheng, Andreas Beyer, & Ruedi Aebersold. (2016). On the Dependency of Cellular Protein Levels on mRNA Abundance. Cell. 165(3). 535–550. 2066 indexed citations breakdown →
10.
Williams, Evan G., Yibo Wu, Pooja Jha, et al.. (2016). Systems proteomics of liver mitochondria function. Science. 352(6291). aad0189–aad0189. 212 indexed citations
11.
Selevsek, Nathalie, Ching-Yun Chang, Ludovic Gillet, et al.. (2015). Reproducible and Consistent Quantification of the Saccharomyces cerevisiae Proteome by SWATH-mass spectrometry *. Molecular & Cellular Proteomics. 14(3). 739–749. 139 indexed citations
12.
Gatti, Marco, et al.. (2015). RNF168 Promotes Noncanonical K27 Ubiquitination to Signal DNA Damage. Cell Reports. 10(2). 226–238. 157 indexed citations
13.
Imanishi, Susumu Y., et al.. (2015). Confident Site Localization Using a Simulated Phosphopeptide Spectral Library. Journal of Proteome Research. 14(5). 2348–2359. 26 indexed citations
14.
Kuilman, Thomas, et al.. (2014). Identification of C dk targets that control cytokinesis. The EMBO Journal. 34(1). 81–96. 47 indexed citations
15.
Schmidt, Alexander, Martin Beck, Johan Malmström, et al.. (2011). Absolute quantification of microbial proteomes at different states by directed mass spectrometry. Molecular Systems Biology. 7(1). 510–510. 85 indexed citations
16.
Ludwig, Christina, Manfred Claassen, Alexander Schmidt, & Ruedi Aebersold. (2011). Estimation of Absolute Protein Quantities of Unlabeled Samples by Selected Reaction Monitoring Mass Spectrometry. Molecular & Cellular Proteomics. 11(3). M111.013987–M111.013987. 104 indexed citations
17.
Picotti, Paola, Oliver Rinner, Terry Farrah, et al.. (2009). High-throughput generation of selected reaction-monitoring assays for proteins and proteomes. Nature Methods. 7(1). 43–46. 371 indexed citations
18.
Schmidt, Alexander, Manfred Claassen, & Ruedi Aebersold. (2009). Directed mass spectrometry: towards hypothesis-driven proteomics. Current Opinion in Chemical Biology. 13(5-6). 510–517. 74 indexed citations
19.
Lange, Vinzenz, Johan Malmström, John P. Didion, et al.. (2008). Targeted Quantitative Analysis of Streptococcus pyogenes Virulence Factors by Multiple Reaction Monitoring. Molecular & Cellular Proteomics. 7(8). 1489–1500. 176 indexed citations
20.
Marelli, Marcello, Jennifer J. Smith, Sunhee Jung, et al.. (2004). Quantitative mass spectrometry reveals a role for the GTPase Rho1p in actin organization on the peroxisome membrane. The Journal of Cell Biology. 167(6). 1099–1112. 130 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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