Jonas Behr
Impact in
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
Papers in
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- Genomics and Phylogenetic Studies 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
- RNA modifications and cancer 2
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Gunnar Rätsch (9 shared papers)André Kahles (5 shared papers)Gabriele Schweikert (3 shared papers)Sören Sonnenburg (2 shared papers)Petra Philips (2 shared papers)Philipp Drewe (3 shared papers)Andreas Wachter (2 shared papers)Niko Beerenwinkel (4 shared papers)
- Journals
- BMC Bioinformatics (5 papers)Bioinformatics (3 papers)The Plant Cell (2 papers)BMC Genomics (1 paper)Genome Research (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Jonas Behr
13 papers receiving 733 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 584
- Cancer Research 73
- Plant Science 173
- Aging 3
- Genetics 43
Countries citing papers authored by Jonas Behr
This map shows the geographic impact of Jonas Behr'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 Jonas Behr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Behr more than expected).
Fields of papers citing papers by Jonas Behr
This network shows the impact of papers produced by Jonas Behr. 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 Jonas Behr. The network helps show where Jonas Behr may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Behr, 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 | 2013 | 175 | |
| 2 | 2007 | 142 | |
| 3 | 2018 | 117 | |
| 4 | 2009 | 73 | |
| 5 | 2016 | 66 | |
| 6 | 2013 | 41 | |
| 7 | 2015 | 30 | |
| 8 | 2017 | 29 | |
| 9 | 2010 | 23 | |
| 10 | 2018 | 21 | |
| 11 | 2021 | 13 | |
| 12 | 2009 | 10 | |
| 13 | 2011 | 3 |
About Jonas Behr
Jonas Behr is a scholar working on Molecular Biology, Cancer Research, Information Systems and Management, Cell Biology and Aging, having authored 13 papers that have together received 743 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Bioinformatics (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (584 citations), Cancer Research (73 citations), Plant Science (173 citations), Aging (3 citations) and Genetics (43 citations). Jonas Behr has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Gunnar Rätsch, André Kahles, Gabriele Schweikert, Sören Sonnenburg, Petra Philips, Philipp Drewe, Andreas Wachter, Niko Beerenwinkel, Eva Stauffer and Anil K Kesarwani. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, The Plant Cell, BMC Genomics and Genome Research.
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.