Daniela Karra
Impact in
- Developmental Neuroscience top 10%
-
- RNA Research and Splicing
- RNA modifications and cancer
- RNA regulation and disease
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
Papers in
-
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- Retinal Development and Disorders 2
- Genomics and Chromatin Dynamics 2
- RNA regulation and disease 2
- Peroxisome Proliferator-Activated Receptors 1
- Genetics 2
- Glioma Diagnosis and Treatment 2
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Ralf Dahm (4 shared papers)Paolo Macchi (5 shared papers)Michael Kiebler (5 shared papers)John P. Vessey (4 shared papers)Sabine Thomas (4 shared papers)Angelo Vaccani (1 shared paper)Yunli Xie (1 shared paper)Martina Schwarz (2 shared papers)
In The Last Decade
Daniela Karra
11 papers receiving 788 citations
Peers
Comparison fields: 5 of 76
- Developmental Neuroscience 37
- Molecular Biology 643
- Cellular and Molecular Neuroscience 140
- Cancer Research 83
- Aging 10
Countries citing papers authored by Daniela Karra
This map shows the geographic impact of Daniela Karra'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 Daniela Karra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Karra more than expected).
Fields of papers citing papers by Daniela Karra
This network shows the impact of papers produced by Daniela Karra. 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 Daniela Karra. The network helps show where Daniela Karra may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Karra, 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 | 2010 | 164 | |
| 2 | 2006 | 158 | |
| 3 | 2013 | 126 | |
| 4 | 2008 | 117 | |
| 5 | 2010 | 108 | |
| 6 | 2011 | 37 | |
| 7 | 2007 | 34 | |
| 8 | 2012 | 26 | |
| 9 | 2008 | 16 | |
| 10 | 2006 | 7 | |
| 11 | 2005 | 6 |
About Daniela Karra
Daniela Karra is a scholar working on Molecular Biology, Genetics, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 11 papers that have together received 799 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), Retinal Development and Disorders (2 papers), Genomics and Chromatin Dynamics (2 papers), Glioma Diagnosis and Treatment (2 papers), RNA regulation and disease (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Developmental Neuroscience (37 citations), Molecular Biology (643 citations), Cellular and Molecular Neuroscience (140 citations), Cancer Research (83 citations) and Aging (10 citations). Daniela Karra has collaborated with scholars based in Austria, Italy and Germany. Frequent co-authors include Ralf Dahm, Paolo Macchi, Michael Kiebler, John P. Vessey, Sabine Thomas, Angelo Vaccani, Yunli Xie, Martina Schwarz, Manuel Zeitelhofer and Francesca Di Leva. Their work appears in journals such as Journal of Neuroscience, Cell Reports, Journal of Neurochemistry, JNCI Journal of the National Cancer Institute and Proceedings of the National Academy of Sciences.
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.