Karl Bertram
Impact in
- Structural Biology top 10%
-
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA regulation and disease
Papers in
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- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 3
- Muscle Physiology and Disorders 1
- RNA Interference and Gene Delivery 1
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Dmitry E. Agafonov (5 shared papers)Cindy L. Will (5 shared papers)Henning Urlaub (5 shared papers)Berthold Kastner (5 shared papers)Holger Stark (5 shared papers)Olexandr Dybkov (5 shared papers)Reinhard Lührmann (5 shared papers)Klaus Hartmuth (3 shared papers)
- Journals
- Nature (2 papers)Molecular Cell (1 paper)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Science (1 paper)
- Partner nations
- GermanyUnited StatesBangladesh
In The Last Decade
Karl Bertram
9 papers receiving 691 citations
Peers
Comparison fields: 5 of 67
- Structural Biology 14
- Molecular Biology 619
- Cancer Research 105
- Developmental Neuroscience 6
- Genetics 11
Countries citing papers authored by Karl Bertram
This map shows the geographic impact of Karl Bertram'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 Karl Bertram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Bertram more than expected).
Fields of papers citing papers by Karl Bertram
This network shows the impact of papers produced by Karl Bertram. 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 Karl Bertram. The network helps show where Karl Bertram may publish in the future.
Co-authors
The 25 scholars most cited alongside Karl Bertram, 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 | 191 | |
| 2 | 2017 | 189 | |
| 3 | 2018 | 119 | |
| 4 | 2020 | 75 | |
| 5 | 2020 | 56 | |
| 6 | 2020 | 36 | |
| 7 | 1994 | 15 | |
| 8 | 1991 | 11 | |
| 9 | Analysis of donor and host contributions to regenerated muscle grafts in the mouse. | 1988 | 2 |
About Karl Bertram
Karl Bertram is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 9 papers that have together received 694 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Muscle Physiology and Disorders (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Structural Biology (14 citations), Molecular Biology (619 citations), Cancer Research (105 citations), Developmental Neuroscience (6 citations) and Genetics (11 citations). Karl Bertram has collaborated with scholars based in Germany, United States and Bangladesh. Frequent co-authors include Dmitry E. Agafonov, Cindy L. Will, Henning Urlaub, Berthold Kastner, Holger Stark, Olexandr Dybkov, Reinhard Lührmann, Klaus Hartmuth, Majety Naga Leelaram and David Haselbach. Their work appears in journals such as Nature, Molecular Cell, Cell, Proceedings of the National Academy of Sciences and Science.
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.