Andreas Kähäri
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
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- Scientific Computing and Data Management 1
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- Genomics and Phylogenetic Studies 6
- Gene expression and cancer classification 5
- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 1
- DNA and Biological Computing 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Glenn ProctorD. StainesPaul KerseyArnaud KerhornouPaul FlicekGiulietta SpudichSyed HaiderJ. P. Almeida
- Journals
- Database (2 papers)BMC Bioinformatics (2 papers)Nucleic Acids Research (1 paper)Computer applications in the biosciences (1 paper)
- Partner nations
- United KingdomSouth AfricaGermany
In The Last Decade
Andreas Kähäri
6 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Genetics 393
- Molecular Biology 832
- Cancer Research 181
- Aging 17
- Plant Science 216
Countries citing papers authored by Andreas Kähäri
This map shows the geographic impact of Andreas Kähäri'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 Kähäri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Kähäri more than expected).
Fields of papers citing papers by Andreas Kähäri
This network shows the impact of papers produced by Andreas Kähäri. 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 Kähäri. The network helps show where Andreas Kähäri may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Kähäri, 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 | 2017 | 34 | |
| 2 | Ensembl BioMarts: a hub for data retrieval across taxonomic space Hit paper breakdown → | 2011 | 970 |
| 3 | 2009 | 128 | |
| 4 | 2008 | 66 | |
| 5 | 2007 | 58 | |
| 6 | 2005 | 23 |
About Andreas Kähäri
Andreas Kähäri is a scholar working on Information Systems and Management, Molecular Biology, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Gene expression and cancer classification (5 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (1 paper), DNA and Biological Computing (1 paper), Scientific Computing and Data Management (1 paper), Algorithms and Data Compression (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Genetics (393 citations), Molecular Biology (832 citations), Cancer Research (181 citations), Aging (17 citations) and Plant Science (216 citations). Andreas Kähäri has collaborated with scholars based in United Kingdom, South Africa and Germany. Frequent co-authors include Glenn Proctor, D. Staines, Paul Kersey, Arnaud Kerhornou, Paul Flicek, Giulietta Spudich, Syed Haider, J. P. Almeida, Jorge Zamora and Eugene Kulesha. Their work appears in journals such as Database, BMC Bioinformatics, Nucleic Acids Research and Computer applications in the biosciences.
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.