Erik Ahrné

2.7k total citations · 1 hit paper
23 papers, 1.7k citations indexed

About

Erik Ahrné is a scholar working on Spectroscopy, Molecular Biology and Genetics. According to data from OpenAlex, Erik Ahrné has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Spectroscopy, 17 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Erik Ahrné's work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (15 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Erik Ahrné is often cited by papers focused on Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (15 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Erik Ahrné collaborates with scholars based in Switzerland, United States and Netherlands. Erik Ahrné's co-authors include Alexander Schmidt, Timo Glatter, Ruedi Aebersold, Manuel Bauer, Matthias Heinemann, Silke R. Vedelaar, Benjamin Volkmer, Luciano Callipo, Karl Kochanowski and Kèvin Knoops and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Nature Biotechnology.

In The Last Decade

Erik Ahrné

23 papers receiving 1.7k citations

Hit Papers

The quantitative and condition-dependent Escherichia coli... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Ahrné Switzerland 16 1.3k 543 352 119 117 23 1.7k
Voula Kanelis Canada 20 1.8k 1.4× 254 0.5× 282 0.8× 285 2.4× 132 1.1× 34 2.4k
Philip Brownridge United Kingdom 22 949 0.7× 480 0.9× 128 0.4× 113 0.9× 24 0.2× 46 1.4k
Carmen L. de Hoog Canada 13 1.5k 1.1× 425 0.8× 179 0.5× 58 0.5× 101 0.9× 14 2.0k
Michalis Aivaliotis Greece 22 952 0.7× 216 0.4× 198 0.6× 137 1.2× 57 0.5× 65 1.3k
Koshi Imami Japan 23 1.1k 0.8× 248 0.5× 95 0.3× 44 0.4× 38 0.3× 59 1.7k
Lei Xin Canada 13 1.4k 1.0× 752 1.4× 141 0.4× 75 0.6× 66 0.6× 26 1.9k
Phil Hieter Canada 11 1.6k 1.2× 142 0.3× 204 0.6× 46 0.4× 31 0.3× 14 2.0k
Baozhen Shan Canada 14 1.4k 1.1× 770 1.4× 144 0.4× 74 0.6× 65 0.6× 24 1.9k
Dror S. Chorev United Kingdom 14 766 0.6× 241 0.4× 120 0.3× 41 0.3× 56 0.5× 18 1.1k

Countries citing papers authored by Erik Ahrné

Since Specialization
Citations

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

Fields of papers citing papers by Erik Ahrné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Ahrné

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Ahrné. A scholar is included among the top collaborators of Erik Ahrné 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 Erik Ahrné. Erik Ahrné 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.
Solovyeva, Elizaveta M., Erik Ahrné, E.A. Hermes, et al.. (2023). Integrative Proteogenomics for Differential Expression and Splicing Variation in a DM1 Mouse Model. Molecular & Cellular Proteomics. 23(1). 100683–100683. 2 indexed citations
2.
Viganó, Cristina, Conrad von Schubert, Erik Ahrné, et al.. (2018). Quantitative proteomic and phosphoproteomic comparison of human colon cancer DLD-1 cells differing in ploidy and chromosome stability. Molecular Biology of the Cell. 29(9). 1031–1047. 35 indexed citations
3.
Opitz, Christian, Erik Ahrné, Kenneth N. Goldie, Alexander Schmidt, & Stephan Grzesiek. (2018). Deuterium induces a distinctive Escherichia coli proteome that correlates with the reduction in growth rate. Journal of Biological Chemistry. 294(7). 2279–2292. 15 indexed citations
4.
Ahrné, Erik, Timo Glatter, Cristina Viganó, et al.. (2016). Evaluation and Improvement of Quantification Accuracy in Isobaric Mass Tag-Based Protein Quantification Experiments. Journal of Proteome Research. 15(8). 2537–2547. 111 indexed citations
5.
Ahrné, Erik, Afzal P Syed, Arnau Viña‐Vilaseca, et al.. (2015). Exploiting the multiplexing capabilities of tandem mass tags for high-throughput estimation of cellular protein abundances by mass spectrometry. Methods. 85. 100–107. 4 indexed citations
6.
Bauer, Manuel, Erik Ahrné, Timo Glatter, et al.. (2015). Assessment of current mass spectrometric workflows for the quantification of low abundant proteins and phosphorylation sites. Data in Brief. 5. 297–304. 5 indexed citations
7.
Laventie, Benoît‐Joseph, Jutta Nesper, Erik Ahrné, et al.. (2015). Capture Compound Mass Spectrometry - A Powerful Tool to Identify Novel c-di-GMP Effector Proteins. Journal of Visualized Experiments. 12 indexed citations
8.
Schreiner, Dietmar, et al.. (2015). Quantitative isoform-profiling of highly diversified recognition molecules. eLife. 4. e07794–e07794. 44 indexed citations
9.
Glatter, Timo, Erik Ahrné, & Alexander Schmidt. (2015). Comparison of Different Sample Preparation Protocols Reveals Lysis Buffer-Specific Extraction Biases in Gram-Negative Bacteria and Human Cells. Journal of Proteome Research. 14(11). 4472–4485. 56 indexed citations
10.
Schmidt, Alexander, Karl Kochanowski, Silke R. Vedelaar, et al.. (2015). The quantitative and condition-dependent Escherichia coli proteome. Nature Biotechnology. 34(1). 104–110. 536 indexed citations breakdown →
11.
Laventie, Benoît‐Joseph, Jutta Nesper, Erik Ahrné, et al.. (2015). Capture Compound Mass Spectrometry - A Powerful Tool to Identify Novel c-di-GMP Effector Proteins. Journal of Visualized Experiments. 4 indexed citations
12.
Schreiner, Dietmar, Giancarlo Russo, Steffen Heber, et al.. (2014). Targeted Combinatorial Alternative Splicing Generates Brain Region-Specific Repertoires of Neurexins. Neuron. 84(2). 386–398. 135 indexed citations
13.
Bauer, Manuel, Erik Ahrné, Timo Glatter, et al.. (2014). Evaluation of Data-Dependent and -Independent Mass Spectrometric Workflows for Sensitive Quantification of Proteins and Phosphorylation Sites. Journal of Proteome Research. 13(12). 5973–5988. 45 indexed citations
14.
Ahrné, Erik, Christoph Kasper, Isabel Sorg, et al.. (2013). Systems-Level Overview of Host Protein Phosphorylation During Shigella flexneri Infection Revealed by Phosphoproteomics. Molecular & Cellular Proteomics. 12(10). 2952–2968. 48 indexed citations
15.
Gunaratne, Jayantha, Alexander Schmidt, Andreas Quandt, et al.. (2013). Extensive Mass Spectrometry-based Analysis of the Fission Yeast Proteome. Molecular & Cellular Proteomics. 12(6). 1741–1751. 24 indexed citations
16.
Glatter, Timo, Christina Ludwig, Erik Ahrné, et al.. (2012). Large-Scale Quantitative Assessment of Different In-Solution Protein Digestion Protocols Reveals Superior Cleavage Efficiency of Tandem Lys-C/Trypsin Proteolysis over Trypsin Digestion. Journal of Proteome Research. 11(11). 5145–5156. 279 indexed citations
17.
Ahrné, Erik, Frédéric Nikitin, Frédérique Lisacek, & Markus Müller. (2011). QuickMod: A Tool for Open Modification Spectrum Library Searches. Journal of Proteome Research. 10(7). 2913–2921. 44 indexed citations
18.
Ahrné, Erik, Yuki Ohta, Frédéric Nikitin, et al.. (2011). An improved method for the construction of decoy peptide MS/MS spectra suitable for the accurate estimation of false discovery rates. PROTEOMICS. 11(20). 4085–4095. 19 indexed citations
19.
Ahrné, Erik, Markus Müller, & Frédérique Lisacek. (2009). Unrestricted identification of modified proteins using MS/MS. PROTEOMICS. 10(4). 671–686. 63 indexed citations
20.
Ahrné, Erik, Alexandre Masselot, Pierre‐Alain Binz, Markus Müller, & Frédérique Lisacek. (2009). A simple workflow to increase MS2 identification rate by subsequent spectral library search. PROTEOMICS. 9(6). 1731–1736. 25 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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