Simone Lemeer

8.7k total citations · 2 hit papers
55 papers, 4.7k citations indexed

About

Simone Lemeer is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Simone Lemeer has authored 55 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 30 papers in Spectroscopy and 7 papers in Cell Biology. Recurrent topics in Simone Lemeer's work include Advanced Proteomics Techniques and Applications (29 papers), Mass Spectrometry Techniques and Applications (21 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Simone Lemeer is often cited by papers focused on Advanced Proteomics Techniques and Applications (29 papers), Mass Spectrometry Techniques and Applications (21 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Simone Lemeer collaborates with scholars based in Netherlands, Germany and United Kingdom. Simone Lemeer's co-authors include Albert J. R. Heck, Bernhard Küster, Shabaz Mohammed, Paul J. Boersema, Reinout Raijmakers, Marcus Bantscheff, Mikhail M. Savitski, Benjamin Ruprecht, Clément M. Potel and Jeroen den Hertog and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Simone Lemeer

55 papers receiving 4.7k citations

Hit Papers

Multiplex peptide stable isotope dimethyl labeling for qu... 2009 2026 2014 2020 2009 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Lemeer Netherlands 34 3.5k 2.1k 465 429 390 55 4.7k
Paul J. Boersema Netherlands 28 3.7k 1.1× 1.9k 0.9× 539 1.2× 374 0.9× 190 0.5× 34 4.9k
Dan Bach Kristensen Japan 13 3.9k 1.1× 2.5k 1.2× 816 1.8× 389 0.9× 261 0.7× 19 5.3k
Danielle L. Swaney United States 29 3.4k 1.0× 1.6k 0.8× 471 1.0× 370 0.9× 252 0.6× 65 4.4k
Wayne F. Patton United States 39 3.5k 1.0× 2.1k 1.0× 473 1.0× 253 0.6× 267 0.7× 114 5.2k
David Schieltz United States 29 5.7k 1.7× 2.6k 1.2× 718 1.5× 441 1.0× 392 1.0× 49 7.3k
Jeffrey C. Silva United States 23 3.2k 0.9× 1.4k 0.6× 308 0.7× 403 0.9× 276 0.7× 32 4.5k
Marcus Bantscheff Germany 40 6.3k 1.8× 3.3k 1.5× 661 1.4× 747 1.7× 355 0.9× 88 8.3k
Peter Hoffmann Australia 41 2.5k 0.7× 1.3k 0.6× 360 0.8× 382 0.9× 1.1k 2.7× 192 5.4k
William M. Old United States 30 2.9k 0.8× 1.4k 0.6× 517 1.1× 306 0.7× 175 0.4× 56 3.8k
An Staes Belgium 34 2.6k 0.8× 1.3k 0.6× 311 0.7× 758 1.8× 272 0.7× 78 3.9k

Countries citing papers authored by Simone Lemeer

Since Specialization
Citations

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

Fields of papers citing papers by Simone Lemeer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Lemeer

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Lemeer. A scholar is included among the top collaborators of Simone Lemeer 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 Simone Lemeer. Simone Lemeer 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.
Doorn, Sander van, et al.. (2018). Adaptive Resistance to EGFR-Targeted Therapy by Calcium Signaling in NSCLC Cells. Molecular Cancer Research. 16(11). 1773–1784. 12 indexed citations
2.
Potel, Clément M., Miao‐Hsia Lin, Albert J. R. Heck, & Simone Lemeer. (2018). Defeating Major Contaminants in Fe3+- Immobilized Metal Ion Affinity Chromatography (IMAC) Phosphopeptide Enrichment. Molecular & Cellular Proteomics. 17(5). 1028–1034. 60 indexed citations
3.
Ruprecht, Benjamin, Esther A. Zaal, Jana Zecha, et al.. (2017). Lapatinib Resistance in Breast Cancer Cells Is Accompanied by Phosphorylation-Mediated Reprogramming of Glycolysis. Cancer Research. 77(8). 1842–1853. 83 indexed citations
4.
Wilhelm, Mathias, Hannes Hahne, Mikhail M. Savitski, et al.. (2017). Wilhelm et al. reply. Nature. 547(7664). E23–E23. 6 indexed citations
5.
Wu, Wei, et al.. (2017). Differential oxidation of protein-tyrosine phosphatases during zebrafish caudal fin regeneration. Scientific Reports. 7(1). 8460–8460. 14 indexed citations
6.
Weijer, Ruud, Esther A. Zaal, René Leen, et al.. (2016). Multi-OMIC profiling of survival and metabolic signaling networks in cells subjected to photodynamic therapy. Cellular and Molecular Life Sciences. 74(6). 1133–1151. 35 indexed citations
7.
Kaplan, Mohammed, Siddarth Narasimhan, Cecilia de Heus, et al.. (2016). EGFR Dynamics Change during Activation in Native Membranes as Revealed by NMR. Cell. 167(5). 1241–1251.e11. 145 indexed citations
8.
Pachl, Fiona, Benjamin Ruprecht, Simone Lemeer, & Bernhard Küster. (2013). Characterization of a high field Orbitrap mass spectrometer for proteome analysis. PROTEOMICS. 13(17). 2552–2562. 8 indexed citations
9.
Hahne, Hannes, Fiona Pachl, Benjamin Ruprecht, et al.. (2013). DMSO enhances electrospray response, boosting sensitivity of proteomic experiments. Nature Methods. 10(10). 989–991. 188 indexed citations
10.
Lemeer, Simone, et al.. (2013). Comparing Immobilized Kinase Inhibitors and Covalent ATP Probes for Proteomic Profiling of Kinase Expression and Drug Selectivity. Journal of Proteome Research. 12(4). 1723–1731. 43 indexed citations
11.
Lemeer, Simone, Hannes Hahne, Fiona Pachl, & Bernhard Küster. (2012). Software Tools for MS-Based Quantitative Proteomics: A Brief Overview. Methods in molecular biology. 893. 489–499. 25 indexed citations
12.
Ding, Vanessa, Paul J. Boersema, Christian Preisinger, et al.. (2011). Tyrosine Phosphorylation Profiling in FGF-2 Stimulated Human Embryonic Stem Cells. PLoS ONE. 6(3). e17538–e17538. 52 indexed citations
13.
Lemeer, Simone, Elena Kunold, Susan Klaeger, et al.. (2011). Phosphorylation site localization in peptides by MALDI MS/MS and the Mascot Delta Score. Analytical and Bioanalytical Chemistry. 402(1). 249–260. 22 indexed citations
15.
Boersema, Paul J., Reinout Raijmakers, Simone Lemeer, Shabaz Mohammed, & Albert J. R. Heck. (2009). Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics. Nature Protocols. 4(4). 484–494. 1122 indexed citations breakdown →
16.
Gauci, Sharon, Bas van Breukelen, Simone Lemeer, Jeroen Krijgsveld, & Albert J. R. Heck. (2008). A versatile peptide pI calculator for phosphorylated and N‐terminal acetylated peptides experimentally tested using peptide isoelectric focusing. PROTEOMICS. 8(23-24). 4898–4906. 46 indexed citations
17.
Lemeer, Simone, Chris Jopling, Joost W. Gouw, et al.. (2008). Comparative Phosphoproteomics of Zebrafish Fyn/Yes Morpholino Knockdown Embryos. Molecular & Cellular Proteomics. 7(11). 2176–2187. 47 indexed citations
18.
Lemeer, Simone, Rob Ruijtenbeek, Martijn W. H. Pinkse, et al.. (2007). Endogenous Phosphotyrosine Signaling in Zebrafish Embryos. Molecular & Cellular Proteomics. 6(12). 2088–2099. 55 indexed citations
19.
Lemeer, Simone, Chris Jopling, Rob Ruijtenbeek, et al.. (2007). Protein-Tyrosine Kinase Activity Profiling in Knock Down Zebrafish Embryos. PLoS ONE. 2(7). e581–e581. 45 indexed citations
20.
Rappoport, Joshua Z., et al.. (2003). The AP-2 Complex Is Excluded from the Dynamic Population of Plasma Membrane-associated Clathrin. Journal of Biological Chemistry. 278(48). 47357–47360. 56 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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