Andreas Hauser
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
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- Computational Drug Discovery Methods
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Genomics and Phylogenetic Studies 2
- Genetics 4
- Genetic and phenotypic traits in livestock 3
- Animal Genetics and Reproduction 2
- Co-authors
- A. Biegert (1 shared paper)Michael Remmert (1 shared paper)Johannes Söding (1 shared paper)Peter A. Cotton (1 shared paper)Martin J. Attrill (1 shared paper)Ulrike Kanter (1 shared paper)Anton R. Schäffner (1 shared paper)Bernhard Michalke (1 shared paper)
In The Last Decade
Andreas Hauser
16 papers receiving 2.2k citations
Andreas Hauser's Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.5k
- Computational Theory and Mathematics 162
- Ecology 214
- Endocrinology 35
- Microbiology 40
Countries citing papers authored by Andreas Hauser
This map shows the geographic impact of Andreas Hauser'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 Hauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Hauser more than expected).
Fields of papers citing papers by Andreas Hauser
This network shows the impact of papers produced by Andreas Hauser. 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 Hauser. The network helps show where Andreas Hauser may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Hauser, 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 | HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment Hit paper breakdown → | 2011 | 1719 |
| 2 | 2014 | 104 | |
| 3 | 2010 | 101 | |
| 4 | 2014 | 92 | |
| 5 | 2006 | 88 | |
| 6 | 2018 | 42 | |
| 7 | 2021 | 36 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2024 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2011 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2011 | 2 |
About Andreas Hauser
Andreas Hauser is a scholar working on Molecular Biology, Genetics, Cancer Research, Epidemiology and Global and Planetary Change, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Genetic and phenotypic traits in livestock (3 papers), RNA modifications and cancer (3 papers), Animal Genetics and Reproduction (2 papers), Genomics and Phylogenetic Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Plant Micronutrient Interactions and Effects (1 paper). The work is most often cited by research in Molecular Biology (1.5k citations), Computational Theory and Mathematics (162 citations), Ecology (214 citations), Endocrinology (35 citations) and Microbiology (40 citations). Andreas Hauser has collaborated with scholars based in Germany, Russia and Austria. Frequent co-authors include A. Biegert, Michael Remmert, Johannes Söding, Peter A. Cotton, Martin J. Attrill, Ulrike Kanter, Anton R. Schäffner, Bernhard Michalke, Fabiana Perocchi and Otto Berninghausen. Their work appears in journals such as Cell Reports, Nature Methods, Blood, Marine Ecology Progress Series and Molecular Biology of the Cell.
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.