Andreas Beyer
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
Papers in
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
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- Bioinformatics and Genomic Networks 23
- Genomics and Chromatin Dynamics 10
- Co-authors
- Ruedi Aebersold (7 shared papers)Yansheng Liu (2 shared papers)Michael Matthies (10 shared papers)Thomas E. Wilhelm (11 shared papers)Adrian Alter (1 shared paper)Frank Wania (4 shared papers)Donald Mackay (4 shared papers)Ideker Trey (5 shared papers)
- Journals
- Molecular Systems Biology (8 papers)PLoS Computational Biology (8 papers)Nature Communications (7 papers)PLoS ONE (5 papers)Nature (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Andreas Beyer
152 papers receiving 9.4k citations
Andreas Beyer's Hit Papers
Peers
Comparison fields: 5 of 176
- Aging 381
- Molecular Biology 3.6k
- Health, Toxicology and Mutagenesis 647
- Spectroscopy 707
- Clinical Biochemistry 208
Countries citing papers authored by Andreas Beyer
This map shows the geographic impact of Andreas Beyer'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 Andreas Beyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Beyer more than expected).
Fields of papers citing papers by Andreas Beyer
This network shows the impact of papers produced by Andreas Beyer. 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 Andreas Beyer. The network helps show where Andreas Beyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Beyer, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On the Dependency of Cellular Protein Levels on mRNA Abundance Hit paper breakdown → | 2016 | 2349 |
| 2 | 2000 | 315 | |
| 3 | 1991 | 310 | |
| 4 | 2013 | 248 | |
| 5 | 2012 | 243 | |
| 6 | 2019 | 233 | |
| 7 | 2009 | 227 | |
| 8 | 1997 | 207 | |
| 9 | 2004 | 203 | |
| 10 | 2017 | 190 | |
| 11 | 2015 | 180 | |
| 12 | 1992 | 179 | |
| 13 | 2022 | 171 | |
| 14 | 1993 | 159 | |
| 15 | 2007 | 158 | |
| 16 | 2007 | 158 | |
| 17 | 2002 | 148 | |
| 18 | 1997 | 137 | |
| 19 | 2023 | 129 | |
| 20 | 2020 | 127 |
About Andreas Beyer
Andreas Beyer is a scholar working on Aging, Molecular Biology, General Economics, Econometrics and Finance, Health, Toxicology and Mutagenesis and Spectroscopy, having authored 155 papers that have together received 9.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (23 papers), Monetary Policy and Economic Impact (17 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers), Toxic Organic Pollutants Impact (12 papers), Advanced Proteomics Techniques and Applications (11 papers), Genomics and Chromatin Dynamics (10 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Aging (381 citations), Molecular Biology (3.6k citations), Health, Toxicology and Mutagenesis (647 citations), Spectroscopy (707 citations) and Clinical Biochemistry (208 citations). Andreas Beyer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ruedi Aebersold, Yansheng Liu, Michael Matthies, Thomas E. Wilhelm, Adrian Alter, Frank Wania, Donald Mackay, Ideker Trey, Ralf Erdmann and Jens Hollunder. Their work appears in journals such as Molecular Systems Biology, PLoS Computational Biology, Nature Communications, PLoS ONE and Nature.
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.