Markus Ralser
- Aging top 0.5%
- Molecular Biology top 0.5%
- Microbial Metabolic Engineering and Bioproduction 34
- Fungal and yeast genetics research 28
- Mitochondrial Function and Pathology 23
- Bioinformatics and Genomic Networks 21
- Metabolomics and Mass Spectrometry Studies 15
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 26
- Mass Spectrometry Techniques and Applications 13
- Biochemistry top 0.5%
- Cancer Research top 1%
-
- Enzyme Structure and Function 13
- Co-authors
- Vadim DemichevChristoph B. MessnerHans LehrachKathryn S. LilleyMarkus A. KellerSpyros I. VernardisKate CampbellViridiana Olín‐Sandoval
- Cited by
- AgingMolecular BiologySpectroscopy
- Journals
- Nature Communications (11 papers)eLife (10 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United KingdomGermanyAustria
In The Last Decade
Markus Ralser
157 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Aging 349
- Molecular Biology 7.9k
- Spectroscopy 1.3k
- Biochemistry 562
- Cancer Research 1.2k
Countries citing papers authored by Markus Ralser
This map shows the geographic impact of Markus Ralser'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 Markus Ralser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Ralser more than expected).
Fields of papers citing papers by Markus Ralser
This network shows the impact of papers produced by Markus Ralser. 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 Markus Ralser. The network helps show where Markus Ralser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Ralser, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 6 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 59 | |
| 13 | 2023 | 19 | |
| 14 | 2022 | 110 | |
| 15 | 2022 | 27 | |
| 16 | 2021 | 31 | |
| 17 | Ultra-fast proteomics with Scanning SWATHbreakdown → | 2021 | 179 |
| 18 | 2020 | 11 | |
| 19 | 2020 | 47 | |
| 20 | 2015 | 65 |
About Markus Ralser
Markus Ralser is a scholar working on Aging, Molecular Biology and Biochemistry, having authored 166 papers that have together received 11.3k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (34 papers), Fungal and yeast genetics research (28 papers), Advanced Proteomics Techniques and Applications (26 papers), Mitochondrial Function and Pathology (23 papers), Bioinformatics and Genomic Networks (21 papers), Metabolomics and Mass Spectrometry Studies (15 papers), Enzyme Structure and Function (13 papers) and Mass Spectrometry Techniques and Applications (13 papers). The work is most often cited by research in Aging (349 citations), Molecular Biology (7.9k citations) and Spectroscopy (1.3k citations). Markus Ralser has collaborated with scholars based in United Kingdom, Germany and Austria. Frequent co-authors include Vadim Demichev, Christoph B. Messner, Hans Lehrach, Kathryn S. Lilley, Markus A. Keller, Spyros I. Vernardis, Kate Campbell, Viridiana Olín‐Sandoval, Nana‐Maria Grüning and Michael Mülleder. Their work appears in journals such as Nature Communications, eLife, Proceedings of the National Academy of Sciences, PROTEOMICS and Cell.
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.