Torsten Müller

2.8k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Torsten Müller is a scholar working on Molecular Biology, Spectroscopy and Public Administration. According to data from OpenAlex, Torsten Müller has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Spectroscopy and 6 papers in Public Administration. Recurrent topics in Torsten Müller's work include Labor Movements and Unions (6 papers), Advanced Proteomics Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Torsten Müller is often cited by papers focused on Labor Movements and Unions (6 papers), Advanced Proteomics Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Torsten Müller collaborates with scholars based in Germany, Austria and Canada. Torsten Müller's co-authors include Jeroen Krijgsveld, Poul H. Sorensen, Gregg B. Morin, Christopher S. Hughes, Mathias Kalxdorf, Kurt Vandaele, Jeremy Waddington, Albrecht Stenzinger, Rémi Longuespée and Daniel Kazdal and has published in prestigious journals such as Nature Communications, Nature Protocols and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Torsten Müller

14 papers receiving 1.5k citations

Hit Papers

Single-pot, solid-phase-enhanced sample preparation for p... 2018 2026 2020 2023 2018 250 500 750
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. Single-pot, solid-phase-enhanced sample preparation for proteomics experiments
    2018 977 citations Christopher S. Hughes, Torsten Müller et al. Nature Protocols profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torsten Müller Germany 10 880 409 121 116 98 16 1.5k
John R. Mills United States 30 1.8k 2.1× 72 0.2× 479 4.0× 138 1.2× 42 0.4× 110 3.1k
Jonathan H. Sheehan United States 22 975 1.1× 61 0.1× 227 1.9× 80 0.7× 41 0.4× 40 1.6k
Marie‐Pierre Bousquet France 22 1.1k 1.3× 153 0.4× 419 3.5× 249 2.1× 75 0.8× 66 1.5k
John Welsh Finland 12 927 1.1× 22 0.1× 212 1.8× 54 0.5× 15 0.2× 39 1.5k
Steve M. M. Sweet United Kingdom 24 1.6k 1.8× 803 2.0× 221 1.8× 85 0.7× 63 0.6× 35 2.1k
P. Craig United States 16 400 0.5× 65 0.2× 43 0.4× 151 1.3× 114 1.2× 70 1.3k
James R. Hudson United States 17 2.0k 2.3× 56 0.1× 552 4.6× 174 1.5× 53 0.5× 60 3.3k
Jamie Snider Canada 24 1.5k 1.7× 68 0.2× 156 1.3× 307 2.6× 47 0.5× 47 2.5k
Hans-Dieter Kübler Germany 23 962 1.1× 135 0.3× 112 0.9× 185 1.6× 17 0.2× 71 1.4k
Liling Huang China 14 476 0.5× 28 0.1× 224 1.9× 73 0.6× 75 0.8× 44 1.3k

Countries citing papers authored by Torsten Müller

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Müller. A scholar is included among the top collaborators of Torsten Müller 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 Torsten Müller. Torsten Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Schäfer, Miriam R., Martin Schneider, Torsten Müller, et al.. (2023). Spatial tissue proteomics reveals distinct landscapes of heterogeneity in cutaneous papillomavirus‐induced keratinocyte carcinomas. Journal of Medical Virology. 95(6). e28850–e28850. 4 indexed citations
2.
Müller, Torsten, et al.. (2023). An integrated workflow for quantitative analysis of the newly synthesized proteome. Nature Communications. 14(1). 8237–8237. 12 indexed citations
3.
Müller, Torsten, et al.. (2023). Automated Sample Preparation for Mass Spectrometry-Based Clinical Proteomics. Methods in molecular biology. 2718. 181–211. 3 indexed citations
4.
Gegner, Hagen M., Thomas Naake, Aurélien Dugourd, et al.. (2022). Pre-analytical processing of plasma and serum samples for combined proteome and metabolome analysis. Frontiers in Molecular Biosciences. 9. 961448–961448. 18 indexed citations
5.
Kalxdorf, Mathias, Torsten Müller, Oliver Stegle, & Jeroen Krijgsveld. (2021). IceR improves proteome coverage and data completeness in global and single-cell proteomics. Nature Communications. 12(1). 4787–4787. 33 indexed citations
6.
Müller, Torsten, Etienne Boileau, Martin Busch, et al.. (2020). Updated and enhanced pig cardiac transcriptome based on long-read RNA sequencing and proteomics. Journal of Molecular and Cellular Cardiology. 150. 23–31. 13 indexed citations
7.
Müller, Torsten, Mathias Kalxdorf, Rémi Longuespée, et al.. (2020). Automated sample preparation with SP 3 for low‐input clinical proteomics. Molecular Systems Biology. 16(1). e9111–e9111. 170 indexed citations
8.
Müller, Torsten, Kurt Vandaele, & Jeremy Waddington. (2019). Collective bargaining in Europe: towards an endgame. Dialnet (Universidad de la Rioja). 88 indexed citations
9.
Waddington, Jeremy, Torsten Müller, & Kurt Vandaele. (2019). Setting the scene: collective bargaining under neoliberalism. Dialnet (Universidad de la Rioja). 1–32. 5 indexed citations
10.
Hübner, Jens-Martin, Torsten Müller, Monika Mauermann, et al.. (2019). EZHIP/CXorf67 mimics K27M mutated oncohistones and functions as an intrinsic inhibitor of PRC2 function in aggressive posterior fossa ependymoma. Neuro-Oncology. 21(7). 878–889. 90 indexed citations
11.
Hughes, Christopher S., et al.. (2018). Single-pot, solid-phase-enhanced sample preparation for proteomics experiments. Nature Protocols. 14(1). 68–85. 977 indexed citations breakdown →
12.
Streit, Marc, et al.. (2016). WeightLifter: Visual Weight Space Exploration for Multi-Criteria Decision Making. IEEE Transactions on Visualization and Computer Graphics. 23(1). 611–620. 67 indexed citations
13.
Müller, Torsten, et al.. (2015). More of the same: wages and collective bargaining still under pressure. 1 indexed citations
14.
Müller, Torsten, et al.. (2014). Half a decade of pressure on wages and collective bargaining. 1 indexed citations
15.
Müller, Torsten, et al.. (2013). Focus: European wages and collective bargaining under pressue. 20(4). 17–17.
16.
Hall, Mark C., et al.. (2003). National influences on European Works Councils in UK‐ and US‐based companies. Human Resource Management Journal. 13(4). 75–92. 19 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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