Andreas Rechtsteiner
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- DNA Repair Mechanisms
Papers in
- Aging 16
- Genetics, Aging, and Longevity in Model Organisms 16
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- Epigenetics and DNA Methylation 10
- CRISPR and Genetic Engineering 7
- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 5
- Gene expression and cancer classification 5
- Machine Learning in Bioinformatics 2
- Co-authors
- Susan StromeThea A. EgelhoferJason D. LiebSevinç ErcanWenchao WangTeruaki TakasakiHiroshi KimurâKyle J. Wayne
- Journals
- Nature Communications (3 papers)PLoS Genetics (3 papers)Development (3 papers)Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Andreas Rechtsteiner
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Aging 440
- Molecular Biology 866
- Plant Science 218
- Endocrine and Autonomic Systems 33
- Genetics 115
Countries citing papers authored by Andreas Rechtsteiner
This map shows the geographic impact of Andreas Rechtsteiner'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 Rechtsteiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Rechtsteiner more than expected).
Fields of papers citing papers by Andreas Rechtsteiner
This network shows the impact of papers produced by Andreas Rechtsteiner. 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 Rechtsteiner. The network helps show where Andreas Rechtsteiner may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Rechtsteiner, 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 | 2024 | 11 | |
| 2 | 2024 | 29 | |
| 3 | 2023 | 17 | |
| 4 | 2022 | 8 | |
| 5 | 2020 | 8 | |
| 6 | 2019 | 35 | |
| 7 | 2018 | 42 | |
| 8 | 2017 | 47 | |
| 9 | 2017 | 33 | |
| 10 | 2012 | 103 | |
| 11 | 2012 | 128 | |
| 12 | 2010 | 143 | |
| 13 | 2010 | 78 | |
| 14 | 2010 | 31 | |
| 15 | 2009 | 68 | |
| 16 | 2005 | 31 | |
| 17 | 2005 | 7 | |
| 18 | 2004 | 1 | |
| 19 | Microarray Analysis Techniques: Singular Value Decomposition and Principal Component Analysis | 2002 | 2 |
| 20 | A generic neutral model for measuring excess evolutionary activity of genotypes | 1999 | 5 |
About Andreas Rechtsteiner
Andreas Rechtsteiner is a scholar working on Aging, Molecular Biology, Signal Processing, Public Health, Environmental and Occupational Health and Endocrine and Autonomic Systems, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Epigenetics and DNA Methylation (10 papers), CRISPR and Genetic Engineering (7 papers), Bioinformatics and Genomic Networks (6 papers), Biomedical Text Mining and Ontologies (5 papers), Gene expression and cancer classification (5 papers), Reproductive Biology and Fertility (4 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Aging (440 citations), Molecular Biology (866 citations), Plant Science (218 citations), Endocrine and Autonomic Systems (33 citations) and Genetics (115 citations). Andreas Rechtsteiner has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Susan Strome, Thea A. Egelhofer, Jason D. Lieb, Sevinç Ercan, Wenchao Wang, Teruaki Takasaki, Hiroshi Kimurâ, Kyle J. Wayne, Krystyna M. Kazmierczak and Malcolm E. Winkler. Their work appears in journals such as Nature Communications, PLoS Genetics, Development, Genetics and Proceedings of the National Academy of Sciences.
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.