Markus Lubeck

4.3k total citations · 4 hit papers
20 papers, 2.4k citations indexed

About

Markus Lubeck is a scholar working on Spectroscopy, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Markus Lubeck has authored 20 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Spectroscopy, 10 papers in Molecular Biology and 4 papers in Computational Mechanics. Recurrent topics in Markus Lubeck's work include Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (15 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Markus Lubeck is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (15 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Markus Lubeck collaborates with scholars based in Germany, United States and Denmark. Markus Lubeck's co-authors include Melvin A. Park, Florian Meier, Matthias Mann, Oliver Raether, Nicolai Bache, Jürgen Cox, Heiner Koch, Niels Goedecke, Andreas‐David Brunner and Mark E. Ridgeway and has published in prestigious journals such as Nature Methods, Molecular & Cellular Proteomics and Analytical and Bioanalytical Chemistry.

In The Last Decade

Markus Lubeck

20 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

Online Parallel Accumulation–Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer

2018 635 citations Florian Meier, Heiner Koch et al. Molecular & Cellular Proteomics profile →
diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition

2020 489 citations Florian Meier, Andreas‐David Brunner et al. Nature Methods profile →
Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation

2022 294 citations Andreas‐David Brunner, Marvin Thielert et al. Molecular Systems Biology profile →
Trapped ion mobility spectrometry: A short review

2018 238 citations Mark E. Ridgeway, Markus Lubeck et al. International Journal of Mass Spectrometry profile →

Peers

Countries citing papers authored by Markus Lubeck

Since Specialization

Citations

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

Fields of papers citing papers by Markus Lubeck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Lubeck

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	µPhos: a scalable and sensitive platform for high-dimensional phosphoproteomics 2024 ·Molecular Systems Biology ·(unknown), (unknown), (unknown), (unknown), Jenny Rinke, (unknown), Thomas Ernst, Nina Hahn, Christian Geis, Markus Lubeck, (unknown), Sean J. Humphrey, Florian Meier	10
2	Protein-Centric Analysis of Personalized Antibody Repertoires Using LC-MS-Based Fab-Profiling on a timsTOF 2024 ·Journal of the American Society for Mass Spectrometry ·(unknown), Dina Schuster, (unknown), Stuart Pengelley, Markus Lubeck, Florian Büsch, Andris Jankevics, Oliver Raether, Jean‐François Greisch, Albert J. R. Heck	1
3	Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation breakdown → 2022 ·Molecular Systems Biology ·Andreas‐David Brunner, Marvin Thielert, Catherine G. Vasilopoulou, Constantin Ammar, Fabian Coscia, Andreas Mund, (unknown), Nicolai Bache, (unknown), Markus Lubeck, Sabrina Richter, David S. Fischer, Oliver Raether, Melvin A. Park, Florian Meier, Fabian J. Theis, Matthias Mann	294
4	Synchro-PASEF Allows Precursor-Specific Fragment Ion Extraction and Interference Removal in Data-Independent Acquisition 2022 ·Molecular & Cellular Proteomics ·Patricia Skowronek, (unknown), Markus Lubeck, Georg Wallmann, (unknown), (unknown), Maria Wahle, Marvin Thielert, Florian Meier, Sander Willems, Oliver Raether, Matthias Mann	35
5	Oxonium Ion–Guided Optimization of Ion Mobility–Assisted Glycoproteomics on the timsTOF Pro 2022 ·Molecular & Cellular Proteomics ·Soumya Mukherjee, Andris Jankevics, Florian Büsch, Markus Lubeck, (unknown), Gary Kruppa, Albert J. R. Heck, Richard A. Scheltema, Karli R. Reiding	24
6	diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition breakdown → 2020 ·Nature Methods ·Florian Meier, Andreas‐David Brunner, Max Frank, Annie Ha, Isabell Bludau, Eugenia Voytik, Stephanie Kaspar‐Schoenefeld, Markus Lubeck, Oliver Raether, Nicolai Bache, Ruedi Aebersold, Ben C. Collins, Hannes Röst, Matthias Mann	489
7	MaxQuant Software for Ion Mobility Enhanced Shotgun Proteomics 2020 ·Molecular & Cellular Proteomics ·Nikita A. Prianichnikov, Heiner Koch, (unknown), Markus Lubeck, Raphael Heilig, Sven Brehmer, Román Fischer, Jürgen Cox	121
8	Benefits of Collisional Cross Section Assisted Precursor Selection (caps-PASEF) for Cross-linking Mass Spectrometry 2020 ·Molecular & Cellular Proteomics ·Barbara Steigenberger, Henk W. P. van den Toorn, (unknown), Jean‐François Greisch, (unknown), Markus Lubeck, Roland J. Pieters, Albert J. R. Heck, Richard A. Scheltema	39
9	Parallel accumulation - serial fragmentation combined with data-independent acquisition (diaPASEF) 2019 ·Research at the University of Copenhagen (University of Copenhagen) ·Florian Meier, Andreas‐David Brunner, Max Frank, Annie Ha, Eugenia Voytik, Stephanie Kaspar‐Schoenefeld, Markus Lubeck, Oliver Raether, Ruedi Aebersold, Ben C. Collins, (unknown), Matthias Mann	2
10	Online Parallel Accumulation–Serial Fragmentation (PASEF) with a Novel Trapped Ion Mobility Mass Spectrometer breakdown → 2018 ·Molecular & Cellular Proteomics ·Florian Meier, (unknown), (unknown), Heiner Koch, Markus Lubeck, Michael Krause, Niels Goedecke, Jens Decker, (unknown), Melvin A. Park, Nicolai Bache, (unknown), Jürgen Cox, (unknown), Matthias Mann	635
11	Trapped ion mobility spectrometry: A short review breakdown → 2018 ·International Journal of Mass Spectrometry ·Mark E. Ridgeway, Markus Lubeck, Jan Jordens, (unknown), Melvin A. Park	238
12	The Impact II, a Very High-Resolution Quadrupole Time-of-Flight Instrument (QTOF) for Deep Shotgun Proteomics * 2015 ·Molecular & Cellular Proteomics ·(unknown), Annette Michalski, Oliver Raether, Markus Lubeck, Stephanie Kaspar, Niels Goedecke, Carsten Baessmann, Daniel Hornburg, Florian Meier, Igor Paron, Nils A. Kulak, Jüergen Cox, Matthias Mann	134
13	Parallel Accumulation–Serial Fragmentation (PASEF): Multiplying Sequencing Speed and Sensitivity by Synchronized Scans in a Trapped Ion Mobility Device 2015 ·Journal of Proteome Research ·Florian Meier, (unknown), Niklas Graßl, Markus Lubeck, Melvin A. Park, Oliver Raether, Matthias Mann	275
14	Top-down analysis of 30–80 kDa proteins by electron transfer dissociation time-of-flight mass spectrometry 2013 ·Analytical and Bioanalytical Chemistry ·Luca Fornelli, Julien Parra, Ralf Hartmer, Carsten Stoermer, Markus Lubeck, Yury O. Tsybin	32
15	Evaluating the Performance Factors of a Targeted Label-Free Protein Quantitation Approach on an Ultra-High Resolution API-Qq-TOF. 2010 ·Journal of Biomolecular Techniques JBT ·Markus Lubeck, (unknown), Carsten Baessmann, Wolfgang Jabs	1
16	Data‐dependent electron transfer dissociation of large peptides and medium size proteins in a QTOF instrument on a liquid chromatography timescale 2009 ·Rapid Communications in Mass Spectrometry ·Ralf Hartmer, Desmond A. Kaplan, Carsten Stoermer, Markus Lubeck, Melvin A. Park	11
17	Proteome Analysis of Sorangium cellulosum Employing 2D-HPLC-MS/MS and Improved Database Searching Strategies for CID and ETD Fragment Spectra 2009 ·Journal of Proteome Research ·Andreas Leinenbach, Ralf Hartmer, Markus Lubeck, Benny Kneissl, Yasser A. Elnakady, Carsten Baessmann, Rolf Müller, Christian G. Huber	7
18	De novo peptide sequencing by tandem MS using complementary CID and electron transfer dissociation 2009 ·Electrophoresis ·Andreas Bertsch, Andreas Leinenbach, (unknown), Markus Lubeck, Ralf Hartmer, Carsten Baessmann, Yasser A. Elnakady, Rolf Müller, Sebastian Böcker, Christian G. Huber, Oliver Kohlbacher	46
19	An overview of a large-scale data migration 2003 ·Markus Lubeck, D. Geppert, K. Nienartowicz	10
20	Heat shock transiently enhances the synthesis rate of Sis1p, a ribosome-associated DnaJ protein in the oleagenous yeastApiotrichum curvatum 1998 ·Yeast ·(unknown), Markus Lubeck, Helmut Kindl	4

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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