Stephan Aiche
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Bioinformatics and Genomic Networks 2
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- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 4
- Co-authors
- Siegfried Gessulat (3 shared papers)Tobias Schmidt (3 shared papers)Patroklos Samaras (3 shared papers)Mathias Wilhelm (3 shared papers)Bernhard Küster (3 shared papers)Daniel P. Zolg (1 shared paper)Tobias Knaute (1 shared paper)Johannes Zerweck (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Toxicology in Vitro (2 papers)Nature Methods (1 paper)Journal of Proteome Research (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Stephan Aiche
10 papers receiving 1.0k citations
Stephan Aiche's Hit Papers
Peers
Comparison fields: 5 of 113
- Spectroscopy 452
- Molecular Biology 758
- Biophysics 25
- Information Systems and Management 23
- Oncology 89
Countries citing papers authored by Stephan Aiche
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
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-authors
The 25 scholars most cited alongside Stephan Aiche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning Hit paper breakdown → | 2019 | 519 |
| 2 | 2017 | 148 | |
| 3 | 2019 | 129 | |
| 4 | 2014 | 98 | |
| 5 | 2015 | 59 | |
| 6 | 2011 | 36 | |
| 7 | 2015 | 23 | |
| 8 | 2016 | 10 | |
| 9 | 2012 | 3 | |
| 10 | 2013 | 3 |
About Stephan Aiche
Stephan Aiche is a scholar working on Molecular Biology, Spectroscopy, Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 10 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Mass Spectrometry Techniques and Applications (4 papers), Bioinformatics and Genomic Networks (2 papers), Scientific Computing and Data Management (2 papers), Distributed and Parallel Computing Systems (2 papers), Research Data Management Practices (2 papers) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Spectroscopy (452 citations), Molecular Biology (758 citations), Biophysics (25 citations), Information Systems and Management (23 citations) and Oncology (89 citations). Stephan Aiche has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Siegfried Gessulat, Tobias Schmidt, Patroklos Samaras, Mathias Wilhelm, Bernhard Küster, Daniel P. Zolg, Tobias Knaute, Johannes Zerweck, Bernard Delanghe and Andreas Hühmer. Their work appears in journals such as Nucleic Acids Research, Toxicology in Vitro, Nature Methods, Journal of Proteome Research and BMC Bioinformatics.
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.