Michaela Bayer
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 3
- Protein purification and stability 1
- Ecology 5
- Bacteriophages and microbial interactions 5
- Co-authors
- Günther Koraimann (4 shared papers)Kerry M. Smith (1 shared paper)Philip Youngman (1 shared paper)Akira Kaji (1 shared paper)G. Zellnig (1 shared paper)Gregor Högenauer (1 shared paper)Maria Wagner (1 shared paper)Andreas Beranek (1 shared paper)
- Journals
- Journal of Bacteriology (4 papers)Transfusion (1 paper)Microbiology (1 paper)FEBS Letters (1 paper)DMW - Deutsche Medizinische Wochenschrift (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Michaela Bayer
9 papers receiving 366 citations
Peers
Comparison fields: 5 of 54
- Endocrinology 86
- Molecular Medicine 38
- Genetics 183
- Infectious Diseases 90
- Ecology 129
Countries citing papers authored by Michaela Bayer
This map shows the geographic impact of Michaela Bayer'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 Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Bayer more than expected).
Fields of papers citing papers by Michaela Bayer
This network shows the impact of papers produced by Michaela Bayer. 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 Bayer. The network helps show where Michaela Bayer may publish in the future.
Co-authors
The 20 scholars most cited alongside Michaela Bayer, 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 | 2005 | 102 | |
| 2 | 1995 | 76 | |
| 3 | 2007 | 52 | |
| 4 | 1993 | 52 | |
| 5 | 2001 | 43 | |
| 6 | 1973 | 35 | |
| 7 | 1962 | 17 | |
| 8 | 2000 | 13 | |
| 9 | Evaluation of a new enzyme-linked immunosorbent assay for the determination of neopterin. | 2005 | 4 |
About Michaela Bayer
Michaela Bayer is a scholar working on Molecular Biology, Ecology, Genetics, Endocrinology and Infectious Diseases, having authored 9 papers that have together received 394 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (5 papers), RNA and protein synthesis mechanisms (3 papers), Escherichia coli research studies (2 papers), Poisoning and overdose treatments (1 paper), Protein purification and stability (1 paper), Enzyme Structure and Function (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Endocrinology (86 citations), Molecular Medicine (38 citations), Genetics (183 citations), Infectious Diseases (90 citations) and Ecology (129 citations). Michaela Bayer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Günther Koraimann, Kerry M. Smith, Philip Youngman, Akira Kaji, G. Zellnig, Gregor Högenauer, Maria Wagner, Andreas Beranek, Gernot Zarfel and Christoph Ruckenstuhl. Their work appears in journals such as Journal of Bacteriology, Transfusion, Microbiology, FEBS Letters and DMW - Deutsche Medizinische Wochenschrift.
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.