Karin Ortmayr
Impact in
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
-
- Metabolomics and Mass Spectrometry Studies
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
-
- Metabolomics and Mass Spectrometry Studies 8
- Microbial Metabolic Engineering and Bioproduction 2
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- Computational Drug Discovery Methods 4
- Co-authors
- Mattia Zampieri (6 shared papers)Gunda Koellensperger (8 shared papers)Stephan Hann (7 shared papers)Sébastien Dubuis (2 shared papers)Tim Causon (1 shared paper)Christina Troyer (2 shared papers)Diethard Mattanovich (2 shared papers)Brigitte Gasser (2 shared papers)
- Journals
- The Analyst (3 papers)Nature Chemical Biology (2 papers)Nature Communications (1 paper)Plants (1 paper)International Journal of Pharmaceutics X (1 paper)
- Partner nations
- AustriaSwitzerlandUnited Kingdom
In The Last Decade
Karin Ortmayr
16 papers receiving 520 citations
Peers
Comparison fields: 5 of 80
- Spectroscopy 132
- Molecular Biology 412
- Cancer Research 53
- Biochemistry 19
- Biophysics 13
Countries citing papers authored by Karin Ortmayr
This map shows the geographic impact of Karin Ortmayr'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 Karin Ortmayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Ortmayr more than expected).
Fields of papers citing papers by Karin Ortmayr
This network shows the impact of papers produced by Karin Ortmayr. 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 Karin Ortmayr. The network helps show where Karin Ortmayr may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Ortmayr, 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 | 2014 | 118 | |
| 2 | 2019 | 101 | |
| 3 | 2016 | 64 | |
| 4 | 2015 | 34 | |
| 5 | 2022 | 33 | |
| 6 | 2015 | 32 | |
| 7 | 2015 | 30 | |
| 8 | 2018 | 26 | |
| 9 | 2016 | 25 | |
| 10 | 2022 | 24 | |
| 11 | 2014 | 16 | |
| 12 | 2022 | 11 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 |
About Karin Ortmayr
Karin Ortmayr is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Physiology and Food Science, having authored 17 papers that have together received 523 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Computational Drug Discovery Methods (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Analytical Chemistry and Chromatography (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Isotope Analysis in Ecology (1 paper) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Spectroscopy (132 citations), Molecular Biology (412 citations), Cancer Research (53 citations), Biochemistry (19 citations) and Biophysics (13 citations). Karin Ortmayr has collaborated with scholars based in Austria, Switzerland and United Kingdom. Frequent co-authors include Mattia Zampieri, Gunda Koellensperger, Stephan Hann, Sébastien Dubuis, Tim Causon, Christina Troyer, Diethard Mattanovich, Brigitte Gasser, Michaela Schwaiger-Haber and Michael Maurer. Their work appears in journals such as The Analyst, Nature Chemical Biology, Nature Communications, Plants and International Journal of Pharmaceutics X.
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.