Lukas Reiter
Impact in
- Spectroscopy top 0.05%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 1%
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
- Advanced Biosensing Techniques and Applications
- Machine Learning in Bioinformatics
Papers in
- Spectroscopy 44
- Advanced Proteomics Techniques and Applications 43
- Mass Spectrometry Techniques and Applications 31
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Ruedi AebersoldHannes RöstLudovic GilletPedro NavarroStephen TateNathalie SelevsekR. F. BonnerOliver M. Bernhardt
- Journals
- Molecular & Cellular Proteomics (11 papers)Journal of Proteome Research (8 papers)Nature Communications (5 papers)PROTEOMICS (4 papers)Nature Methods (3 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Lukas Reiter
58 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Spectroscopy 3.9k
- Molecular Biology 5.2k
- Aging 91
- Cell Biology 383
- Cancer Research 343
Countries citing papers authored by Lukas Reiter
This map shows the geographic impact of Lukas Reiter'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 Lukas Reiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Reiter more than expected).
Fields of papers citing papers by Lukas Reiter
This network shows the impact of papers produced by Lukas Reiter. 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 Lukas Reiter. The network helps show where Lukas Reiter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lukas Reiter, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 5 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 40 | |
| 10 | 2022 | 65 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 4 | |
| 13 | Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries Hit paper breakdown → | 2020 | 257 |
| 14 | 2020 | 112 | |
| 15 | 2019 | 115 | |
| 16 | 2019 | 118 | |
| 17 | 2017 | 4 | |
| 18 | 2013 | 216 | |
| 19 | 2011 | 22 | |
| 20 | 2009 | 191 |
About Lukas Reiter
Lukas Reiter is a scholar working on Spectroscopy, Aging, Immunology and Allergy, Molecular Biology and Cancer Research, having authored 64 papers that have together received 7.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (43 papers), Mass Spectrometry Techniques and Applications (31 papers), Metabolomics and Mass Spectrometry Studies (21 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Identification and Quantification in Food (3 papers), Ubiquitin and proteasome pathways (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced Biosensing Techniques and Applications (3 papers). The work is most often cited by research in Spectroscopy (3.9k citations), Molecular Biology (5.2k citations), Aging (91 citations), Cell Biology (383 citations) and Cancer Research (343 citations). Lukas Reiter has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ruedi Aebersold, Hannes Röst, Ludovic Gillet, Pedro Navarro, Stephen Tate, Nathalie Selevsek, R. F. Bonner, Oliver M. Bernhardt, Roland Bruderer and Oliver Rinner. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Nature Communications, PROTEOMICS and Nature Methods.
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.