Michaela Bairlein
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Monoclonal and Polyclonal Antibodies Research 2
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- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Gÿorgý Kéri (2 shared papers)Zoltán Greff (2 shared papers)Henrik Daub (2 shared papers)Jesper V. Olsen (2 shared papers)Florian Gnad (1 shared paper)Matthias Mann (1 shared paper)Felix Oppermann (1 shared paper)Roman Körner (1 shared paper)
- Journals
- Nature Methods (1 paper)Current Drug Metabolism (1 paper)Toxicology (1 paper)Journal of Medicinal Chemistry (1 paper)Chemical Research in Toxicology (1 paper)
- Partner nations
- GermanyHungaryUnited Kingdom
In The Last Decade
Michaela Bairlein
8 papers receiving 827 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 189
- Spectroscopy 147
- Molecular Biology 575
- Physiology 37
- Oncology 198
Countries citing papers authored by Michaela Bairlein
This map shows the geographic impact of Michaela Bairlein'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 Michaela Bairlein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Bairlein more than expected).
Fields of papers citing papers by Michaela Bairlein
This network shows the impact of papers produced by Michaela Bairlein. 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 Michaela Bairlein. The network helps show where Michaela Bairlein may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Bairlein, 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 | 2008 | 497 | |
| 2 | 2009 | 104 | |
| 3 | 2019 | 71 | |
| 4 | 2015 | 70 | |
| 5 | 2019 | 46 | |
| 6 | 2019 | 43 | |
| 7 | 2020 | 18 | |
| 8 | 2023 | 1 | |
| 9 | 2025 | 0 |
About Michaela Bairlein
Michaela Bairlein is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Pharmacology, having authored 9 papers that have together received 850 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Mast cells and histamine (1 paper), Cell Image Analysis Techniques (1 paper), Prostate Cancer Treatment and Research (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Cell Biology (189 citations), Spectroscopy (147 citations), Molecular Biology (575 citations), Physiology (37 citations) and Oncology (198 citations). Michaela Bairlein has collaborated with scholars based in Germany, Hungary and United Kingdom. Frequent co-authors include Gÿorgý Kéri, Zoltán Greff, Henrik Daub, Jesper V. Olsen, Florian Gnad, Matthias Mann, Felix Oppermann, Roman Körner, Olaf Stemmann and Dieter Lang. Their work appears in journals such as Nature Methods, Current Drug Metabolism, Toxicology, Journal of Medicinal Chemistry and Chemical Research in Toxicology.
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.