Marcus Bantscheff

24.5k total citations · 5 hit papers
88 papers, 8.3k citations indexed

About

Marcus Bantscheff is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Marcus Bantscheff has authored 88 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 44 papers in Spectroscopy and 7 papers in Oncology. Recurrent topics in Marcus Bantscheff's work include Advanced Proteomics Techniques and Applications (42 papers), Mass Spectrometry Techniques and Applications (30 papers) and Ubiquitin and proteasome pathways (19 papers). Marcus Bantscheff is often cited by papers focused on Advanced Proteomics Techniques and Applications (42 papers), Mass Spectrometry Techniques and Applications (30 papers) and Ubiquitin and proteasome pathways (19 papers). Marcus Bantscheff collaborates with scholars based in Germany, United Kingdom and United States. Marcus Bantscheff's co-authors include Bernhard Küster, Mikhail M. Savitski, Gavain M.A. Sweetman, Markus Schirle, Jens M. Rick, Thilo Werner, Gerard Drewes, Simone Lemeer, Toby Mathieson and Holger Franken and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Marcus Bantscheff

88 papers receiving 8.1k citations

Hit Papers

Quantitative mass spectrometry in proteomics: a critical ... 2007 2026 2013 2019 2007 2014 2012 2015 2022 400 800 1.2k
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. Quantitative mass spectrometry in proteomics: a critical review
    2007 1.3k citations Marcus Bantscheff, Markus Schirle et al. Analytical and Bioanalytical Chemistry profile →
  2. Tracking cancer drugs in living cells by thermal profiling of the proteome
    2014 796 citations Mikhail M. Savitski, Friedrich Reinhard et al. Science profile →
  3. Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present
    2012 580 citations Marcus Bantscheff, Simone Lemeer et al. Analytical and Bioanalytical Chemistry profile →
  4. Thermal proteome profiling for unbiased identification of direct and indirect drug targets using multiplexed quantitative mass spectrometry
    2015 434 citations Holger Franken, Gavain M.A. Sweetman et al. profile →
  5. The emerging role of mass spectrometry-based proteomics in drug discovery
    2022 203 citations Marcus Bantscheff et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcus Bantscheff Germany 40 6.3k 3.3k 747 661 583 88 8.3k
Mikhail M. Savitski Germany 48 6.4k 1.0× 3.7k 1.1× 532 0.7× 730 1.1× 551 0.9× 122 9.1k
Scott B. Ficarro United States 56 7.8k 1.2× 2.4k 0.7× 1.7k 2.3× 888 1.3× 243 0.4× 117 10.3k
Paola Picotti Switzerland 45 7.3k 1.2× 3.6k 1.1× 791 1.1× 776 1.2× 267 0.5× 110 10.5k
Dirk Wolters Germany 32 6.3k 1.0× 4.2k 1.3× 624 0.8× 734 1.1× 132 0.2× 66 9.5k
Markus Schirle United States 37 5.6k 0.9× 1.6k 0.5× 1.3k 1.8× 498 0.8× 165 0.3× 66 7.4k
Tao Xu United States 45 4.8k 0.8× 1.2k 0.4× 549 0.7× 584 0.9× 460 0.8× 112 6.9k
Sucha Sudarsanam United States 16 6.1k 1.0× 634 0.2× 1.4k 1.9× 1.1k 1.7× 631 1.1× 29 8.1k
Jarrod A. Marto United States 62 7.9k 1.2× 1.9k 0.6× 2.0k 2.7× 1.1k 1.6× 243 0.4× 172 11.3k
Katheryn A. Resing United States 45 4.7k 0.7× 2.1k 0.7× 545 0.7× 1.1k 1.6× 143 0.2× 82 6.4k
Shao‐En Ong United States 36 11.5k 1.8× 4.9k 1.5× 1.5k 2.0× 1.7k 2.5× 201 0.3× 81 14.3k

Countries citing papers authored by Marcus Bantscheff

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Bantscheff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Bantscheff

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Bantscheff. A scholar is included among the top collaborators of Marcus Bantscheff 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 Marcus Bantscheff. Marcus Bantscheff 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.
Eberl, H. Christian, et al.. (2025). A Probe-Based Target Engagement Assay for Kinases in Live Cells. Molecular & Cellular Proteomics. 24(5). 100963–100963. 2 indexed citations
2.
Dennison, Matthew, Jeroen Bédorf, Stefan Schulze, et al.. (2025). PeptideForest: Semisupervised Machine Learning Integrating Multiple Search Engines for Peptide Identification. Journal of Proteome Research. 24(2). 929–939. 1 indexed citations
3.
Rauscher, Benedikt, William F. Mueller, Sandra Clauder‐Münster, et al.. (2021). Patient-derived gene and protein expression signatures of NGLY1 deficiency. The Journal of Biochemistry. 171(2). 187–199. 9 indexed citations
4.
Balestra, Aurélia C., Konstantinos Koussis, Natacha Klages, et al.. (2021). Ca 2+ signals critical for egress and gametogenesis in malaria parasites depend on a multipass membrane protein that interacts with PKG. Science Advances. 7(13). 37 indexed citations
5.
Law, Robert P., João Nunes, Chun‐wa Chung, et al.. (2021). Discovery and Characterisation of Highly Cooperative FAK‐Degrading PROTACs. Angewandte Chemie. 133(43). 23515–23522. 4 indexed citations
6.
Law, Robert P., João Nunes, Chun‐wa Chung, et al.. (2021). Discovery and Characterisation of Highly Cooperative FAK‐Degrading PROTACs. Angewandte Chemie International Edition. 60(43). 23327–23334. 85 indexed citations
7.
Tinworth, Christopher P., Zuni I. Bassi, Marcel Muelbaier, et al.. (2019). PROTAC-Mediated Degradation of Bruton’s Tyrosine Kinase Is Inhibited by Covalent Binding. ACS Chemical Biology. 14(3). 342–347. 134 indexed citations
8.
Smits, Arne H., Frederik Ziebell, Gérard Joberty, et al.. (2019). Biological plasticity rescues target activity in CRISPR knock outs. Nature Methods. 16(11). 1087–1093. 148 indexed citations
9.
Wang, Peng, Gérard Joberty, Arjan Buist, et al.. (2017). Tau interactome mapping based identification of Otub1 as Tau deubiquitinase involved in accumulation of pathological Tau forms in vitro and in vivo. Acta Neuropathologica. 133(5). 731–749. 91 indexed citations
10.
Wilhelm, Mathias, Hannes Hahne, Mikhail M. Savitski, et al.. (2017). Wilhelm et al. reply. Nature. 547(7664). E23–E23. 6 indexed citations
11.
Frost, Julianty, Carles Galdeano, Pedro Soares, et al.. (2016). Potent and selective chemical probe of hypoxic signalling downstream of HIF-α hydroxylation via VHL inhibition. Nature Communications. 7(1). 13312–13312. 178 indexed citations
12.
Becher, Isabelle, Thilo Werner, Carola Doce, et al.. (2016). Thermal profiling reveals phenylalanine hydroxylase as an off-target of panobinostat. Nature Chemical Biology. 12(11). 908–910. 165 indexed citations
13.
Savitski, Mikhail M., Friedrich Reinhard, Holger Franken, et al.. (2014). Tracking cancer drugs in living cells by thermal profiling of the proteome. Science. 346(6205). 1255784–1255784. 796 indexed citations breakdown →
14.
Becher, Isabelle, Mikhail M. Savitski, Maria Fälth Savitski, et al.. (2012). Affinity Profiling of the Cellular Kinome for the Nucleotide Cofactors ATP, ADP, and GTP. ACS Chemical Biology. 8(3). 599–607. 69 indexed citations
15.
Drewes, Gerard & Marcus Bantscheff. (2011). Chemical Proteomics. Methods in molecular biology. 4 indexed citations
16.
Bantscheff, Marcus, Arjen Scholten, & Albert J. R. Heck. (2009). Revealing promiscuous drug–target interactions by chemical proteomics. Drug Discovery Today. 14(21-22). 1021–1029. 113 indexed citations
17.
Kruse, Ulrich, Marcus Bantscheff, Gerard Drewes, & Carsten Hopf. (2008). Chemical and Pathway Proteomics. Molecular & Cellular Proteomics. 7(10). 1887–1901. 36 indexed citations
18.
Bantscheff, Marcus, Markus Schirle, Gavain M.A. Sweetman, Jens M. Rick, & Bernhard Küster. (2007). Quantitative mass spectrometry in proteomics: a critical review. Analytical and Bioanalytical Chemistry. 389(4). 1017–1031. 1253 indexed citations breakdown →
19.
Hopf, Carsten, Marcus Bantscheff, & Gerard Drewes. (2007). Pathway Proteomics and Chemical Proteomics Team Up in Drug Discovery. Neurodegenerative Diseases. 4(2-3). 270–280. 10 indexed citations
20.
Bantscheff, Marcus, Anne‐Laure Perraud, Andreas Böck, et al.. (2000). Structure-function relationships in the Bvg and Evg two-component phosphorelay systems. International Journal of Medical Microbiology. 290(4-5). 317–323. 8 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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