Stephan Aiche

3.7k total citations · 1 hit paper
10 papers, 1.0k citations indexed

About

Stephan Aiche is a scholar working on Molecular Biology, Spectroscopy and Computer Networks and Communications. According to data from OpenAlex, Stephan Aiche has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Spectroscopy and 2 papers in Computer Networks and Communications. Recurrent topics in Stephan Aiche's work include Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Stephan Aiche is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Stephan Aiche collaborates with scholars based in Germany, Austria and United States. Stephan Aiche's co-authors include Tobias Schmidt, Bernhard Küster, Patroklos Samaras, Siegfried Gessulat, Mathias Wilhelm, Karsten Schnatbaum, Andreas Hühmer, Julia Rechenberger, Bernard Delanghe and Daniel P. Zolg and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Methods.

In The Last Decade

Stephan Aiche

10 papers receiving 1.0k citations

Hit Papers

Prosit: proteome-wide prediction of peptide tandem mass s... 2019 2026 2021 2023 2019 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
Stephan Aiche Germany 8 758 452 89 55 48 10 1.0k
Amol Prakash United States 18 781 1.0× 544 1.2× 84 0.9× 44 0.8× 45 0.9× 29 1.1k
Maggie P. Y. Lam United States 23 975 1.3× 366 0.8× 115 1.3× 54 1.0× 56 1.2× 52 1.4k
Lin‐Yang Cheng United States 5 800 1.1× 578 1.3× 86 1.0× 57 1.0× 77 1.6× 7 1.2k
Susan E. Abbatiello United States 16 883 1.2× 797 1.8× 72 0.8× 73 1.3× 50 1.0× 19 1.2k
Peter V. Treit Germany 9 494 0.7× 421 0.9× 50 0.6× 74 1.3× 48 1.0× 11 981
Stephanie Heinzlmeir Germany 19 790 1.0× 250 0.6× 190 2.1× 66 1.2× 43 0.9× 30 1.1k
Chih‐Chiang Tsou United States 16 1.1k 1.5× 831 1.8× 137 1.5× 50 0.9× 72 1.5× 22 1.5k
Damon May United States 21 901 1.2× 611 1.4× 201 2.3× 57 1.0× 70 1.5× 28 1.2k
Ting-Yi Sung Taiwan 19 847 1.1× 211 0.5× 106 1.2× 33 0.6× 29 0.6× 32 1.0k
Patroklos Samaras Germany 12 879 1.2× 531 1.2× 97 1.1× 43 0.8× 50 1.0× 15 1.1k

Countries citing papers authored by Stephan Aiche

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Aiche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Aiche

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

All Works

10 of 10 papers shown
1.
Samaras, Patroklos, Tobias Schmidt, Martin Frejno, et al.. (2019). ProteomicsDB: a multi-omics and multi-organism resource for life science research. Nucleic Acids Research. 48(D1). D1153–D1163. 129 indexed citations
2.
Gessulat, Siegfried, Tobias Schmidt, Daniel P. Zolg, et al.. (2019). Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nature Methods. 16(6). 509–518. 519 indexed citations breakdown →
3.
Schmidt, Tobias, Patroklos Samaras, Martin Frejno, et al.. (2017). ProteomicsDB. Nucleic Acids Research. 46(D1). D1271–D1281. 148 indexed citations
4.
Garza, Luis de la, J. Veit, András Szolek, et al.. (2016). From the desktop to the grid: scalable bioinformatics via workflow conversion. BMC Bioinformatics. 17(1). 127–127. 10 indexed citations
5.
Aiche, Stephan, Timo Sachsenberg, Erhan Kenar, et al.. (2015). Workflows for automated downstream data analysis and visualization in large‐scale computational mass spectrometry. PROTEOMICS. 15(8). 1443–1447. 23 indexed citations
6.
Zurich, Marie‐Gabrielle, Maxime Culot, Christophe Landry, et al.. (2015). Evaluation of drug-induced neurotoxicity based on metabolomics, proteomics and electrical activity measurements in complementary CNS in vitro models. Toxicology in Vitro. 30(1). 138–165. 59 indexed citations
7.
Wilmes, Anja, Chris Bielow, Patricia Bellwon, et al.. (2014). Mechanism of cisplatin proximal tubule toxicity revealed by integrating transcriptomics, proteomics, metabolomics and biokinetics. Toxicology in Vitro. 30(1). 117–127. 98 indexed citations
8.
Garza, Luis de la, Jens Krüger, Marc Röttig, et al.. (2013). From the Desktop to the Grid: conversion of KNIME Workflows to gUSE. 993. 3 indexed citations
9.
Aiche, Stephan, Knut Reinert, Christof Schütte, et al.. (2012). Inferring Proteolytic Processes from Mass Spectrometry Time Series Data Using Degradation Graphs. PLoS ONE. 7(7). e40656–e40656. 3 indexed citations
10.
Bielow, Chris, Stephan Aiche, Sandro Andreotti, & Knut Reinert. (2011). MSSimulator: Simulation of Mass Spectrometry Data. Journal of Proteome Research. 10(7). 2922–2929. 36 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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