Andreas Ruepp
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 20
- Genomics and Phylogenetic Studies 10
- Microbial Metabolic Engineering and Bioproduction 6
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 5
- Gene expression and cancer classification 5
- Biomedical Text Mining and Ontologies 5
- Computational Theory and Mathematics top 0.5%
- Cancer Research top 5%
- MicroRNA in disease regulation 5
- Cell Biology top 5%
- Spectroscopy top 2%
- Co-authors
- Goar FrishmanCorinna MontroneBarbara BraunerHans‐Werner MewesGisela FoboDmitrij FrishmanMartin LechnerVolker Stümpflen
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Andreas Ruepp
52 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 4.2k
- Computational Theory and Mathematics 609
- Cancer Research 465
- Cell Biology 404
- Spectroscopy 365
Countries citing papers authored by Andreas Ruepp
This map shows the geographic impact of Andreas Ruepp'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 Ruepp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Ruepp more than expected).
Fields of papers citing papers by Andreas Ruepp
This network shows the impact of papers produced by Andreas Ruepp. 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 Ruepp. The network helps show where Andreas Ruepp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Ruepp, 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 | 2021 | 1 | |
| 2 | 2021 | 34 | |
| 3 | 2016 | 8 | |
| 4 | 2014 | 98 | |
| 5 | 2013 | 11 | |
| 6 | 2013 | 125 | |
| 7 | 2011 | 50 | |
| 8 | 2011 | 49 | |
| 9 | 2010 | 15 | |
| 10 | 2008 | 114 | |
| 11 | 2008 | 33 | |
| 12 | 2008 | 6 | |
| 13 | 2007 | 16 | |
| 14 | 2007 | 28 | |
| 15 | 2007 | 131 | |
| 16 | 2006 | 36 | |
| 17 | 2005 | 11 | |
| 18 | The FunCat, a functional annotation scheme for systematic classification of proteins from whole genomesbreakdown → | 2004 | 903 |
| 19 | 2001 | 17 | |
| 20 | 2000 | 314 |
About Andreas Ruepp
Andreas Ruepp is a scholar working on Molecular Biology, Endocrinology, Biotechnology, Cancer Research and Behavioral Neuroscience, having authored 52 papers that have together received 5.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (20 papers), Genomics and Phylogenetic Studies (10 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Machine Learning in Bioinformatics (5 papers), MicroRNA in disease regulation (5 papers), RNA and protein synthesis mechanisms (5 papers), Gene expression and cancer classification (5 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Molecular Biology (4.2k citations), Computational Theory and Mathematics (609 citations), Cancer Research (465 citations), Cell Biology (404 citations) and Spectroscopy (365 citations). Andreas Ruepp has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Goar Frishman, Corinna Montrone, Barbara Brauner, Hans‐Werner Mewes, Gisela Fobo, Dmitrij Frishman, Martin Lechner, Volker Stümpflen, Jörg Soppa and Mădălina Giurgiu. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, PLoS ONE, Bioinformatics and Cell stem 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.