Rainer Merkl
Impact in
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA modifications and cancer
- Cell Biology top 5%
- Cellular Mechanics and Interactions
Papers in
-
- RNA and protein synthesis mechanisms 28
- Genomics and Phylogenetic Studies 25
- Protein Structure and Dynamics 21
- Machine Learning in Bioinformatics 11
- RNA Research and Splicing 10
- RNA modifications and cancer 9
- Cell Biology 12
- Co-authors
- Reinhard SternerGünther GerischHeiko LiesegangGerhard GottschalkAnke HennePaul R. FisherW. Florian FrickeMaike Tech
- Journals
- BMC Bioinformatics (10 papers)Biochemistry (5 papers)Nucleic Acids Research (4 papers)The EMBO Journal (4 papers)Journal of Molecular Biology (4 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Rainer Merkl
105 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.7k
- Cell Biology 433
- Endocrinology 128
- Biotechnology 203
- Molecular Medicine 112
Countries citing papers authored by Rainer Merkl
This map shows the geographic impact of Rainer Merkl'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 Rainer Merkl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Merkl more than expected).
Fields of papers citing papers by Rainer Merkl
This network shows the impact of papers produced by Rainer Merkl. 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 Rainer Merkl. The network helps show where Rainer Merkl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rainer Merkl, 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 | 2022 | 4 | |
| 2 | 2021 | 16 | |
| 3 | 2020 | 17 | |
| 4 | 2020 | 3 | |
| 5 | 2020 | 6 | |
| 6 | 2019 | 21 | |
| 7 | 2018 | 17 | |
| 8 | 2017 | 8 | |
| 9 | 2016 | 12 | |
| 10 | 2016 | 19 | |
| 11 | 2014 | 25 | |
| 12 | 2014 | 39 | |
| 13 | 2012 | 7 | |
| 14 | 2011 | 36 | |
| 15 | 2010 | 6 | |
| 16 | 2010 | 16 | |
| 17 | 2004 | 267 | |
| 18 | 1996 | 6 | |
| 19 | 1992 | 16 | |
| 20 | 1982 | 38 |
About Rainer Merkl
Rainer Merkl is a scholar working on Molecular Biology, Cell Biology, Structural Biology, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 105 papers that have together received 3.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (28 papers), Genomics and Phylogenetic Studies (25 papers), Protein Structure and Dynamics (21 papers), Enzyme Structure and Function (20 papers), Bacterial Genetics and Biotechnology (12 papers), Machine Learning in Bioinformatics (11 papers), RNA Research and Splicing (10 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Cell Biology (433 citations), Endocrinology (128 citations), Biotechnology (203 citations) and Molecular Medicine (112 citations). Rainer Merkl has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Reinhard Sterner, Günther Gerisch, Heiko Liesegang, Gerhard Gottschalk, Anke Henne, Paul R. Fisher, W. Florian Fricke, Maike Tech, Christina Herzberg and Sebastian Bäumer. Their work appears in journals such as BMC Bioinformatics, Biochemistry, Nucleic Acids Research, The EMBO Journal and Journal of Molecular Biology.
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.