Markus Ralser
Impact in
- Aging top 0.5%
- Spectroscopy top 0.2%
- Advanced Proteomics Techniques and Applications
Papers in
-
- Fungal and yeast genetics research 29
- Microbial Metabolic Engineering and Bioproduction 25
- Bioinformatics and Genomic Networks 14
- Spectroscopy 30
- Advanced Proteomics Techniques and Applications 29
- Co-authors
- Vadim Petrovich Demichev (23 shared papers)Kathryn Susan Lilley (10 shared papers)Christoph B. Messner (15 shared papers)Spyros I. Vernardis (2 shared papers)Hans R. Lehrach (25 shared papers)Markus Andreas Keller (21 shared papers)Michael Mülleder (52 shared papers)Kate Campbell (12 shared papers)
- Journals
- Nature Communications (15 papers)eLife (9 papers)Nature (7 papers)Cell (7 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- GermanyUnited KingdomAustria
In The Last Decade
Markus Ralser
229 papers receiving 19.1k citations
Markus Ralser's Hit Papers
Peers
Comparison fields: 5 of 194
- Aging 411
- Spectroscopy 2.1k
- Infectious Diseases 2.1k
- Molecular Biology 6.9k
- Neurology 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-authors
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
Showing the 20 most-cited of 235 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput Hit paper breakdown → | 2019 | 2006 |
| 2 | The return of metabolism: biochemistry and physiology of the pentose phosphate pathway Hit paper breakdown → | 2014 | 1195 |
| 3 | Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment Hit paper breakdown → | 2020 | 1114 |
| 4 | Swarm Learning for decentralized and confidential clinical machine learning Hit paper breakdown → | 2021 | 646 |
| 5 | Remaining Mysteries of Molecular Biology: The Role of Polyamines in the Cell Hit paper breakdown → | 2015 | 571 |
| 6 | 2007 | 515 | |
| 7 | A roadmap for interpreting 13C metabolite labeling patterns from cells Hit paper breakdown → | 2015 | 511 |
| 8 | Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study Hit paper breakdown → | 2021 | 504 |
| 9 | 2020 | 432 | |
| 10 | The pentose phosphate pathway in health and disease Hit paper breakdown → | 2023 | 393 |
| 11 | Yeast Creates a Niche for Symbiotic Lactic Acid Bacteria through Nitrogen Overflow Hit paper breakdown → | 2017 | 325 |
| 12 | Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study Hit paper breakdown → | 2022 | 310 |
| 13 | 2006 | 296 | |
| 14 | 2020 | 283 | |
| 15 | dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts Hit paper breakdown → | 2022 | 275 |
| 16 | 2021 | 266 | |
| 17 | Virus-induced senescence is a driver and therapeutic target in COVID-19 Hit paper breakdown → | 2021 | 266 |
| 18 | Ultra-fast proteomics with Scanning SWATH Hit paper breakdown → | 2021 | 227 |
| 19 | 2013 | 226 | |
| 20 | 2011 | 218 |
About Markus Ralser
Markus Ralser is a scholar working on Molecular Biology, Spectroscopy, Aging, Infectious Diseases and Cancer Research, having authored 235 papers that have together received 19.4k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (29 papers), Advanced Proteomics Techniques and Applications (29 papers), Microbial Metabolic Engineering and Bioproduction (25 papers), COVID-19 Clinical Research Studies (16 papers), Bioinformatics and Genomic Networks (14 papers), Cancer, Hypoxia, and Metabolism (14 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers) and Long-Term Effects of COVID-19 (13 papers). The work is most often cited by research in Aging (411 citations), Spectroscopy (2.1k citations), Infectious Diseases (2.1k citations), Molecular Biology (6.9k citations) and Neurology (1.2k citations). Markus Ralser has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Vadim Petrovich Demichev, Kathryn Susan Lilley, Christoph B. Messner, Spyros I. Vernardis, Hans R. Lehrach, Markus Andreas Keller, Michael Mülleder, Kate Campbell, Viridiana Olín‐Sandoval and Nana‐Maria Grüning. Their work appears in journals such as Nature Communications, eLife, Nature, Cell and Proceedings of the National Academy of Sciences.
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.