Rosa Morra
Impact in
- Physiology top 10%
- Geriatrics and Gerontology top 10%
Papers in
-
- Genomics and Chromatin Dynamics 6
- RNA and protein synthesis mechanisms 6
- DNA Repair Mechanisms 2
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
- Genetics 5
- Bacterial Genetics and Biotechnology 4
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Co-authors
- Eva Barkauskaite (2 shared papers)Ivan Ahel (2 shared papers)John C. Lucchesi (4 shared papers)Ruth Yokoyama (2 shared papers)Neil Dixon (6 shared papers)Edwin R. Smith (1 shared paper)J.G.M. Rack (1 shared paper)Anton Y. Peleg (1 shared paper)
- Journals
- Molecular Cell (1 paper)Protein Expression and Purification (1 paper)Insect Molecular Biology (1 paper)FEBS Letters (1 paper)Molecular BioSystems (1 paper)
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
Rosa Morra
15 papers receiving 365 citations
Peers
Comparison fields: 5 of 57
- Physiology 33
- Geriatrics and Gerontology 22
- Oncology 97
- Molecular Biology 260
- Immunology 55
Countries citing papers authored by Rosa Morra
This map shows the geographic impact of Rosa Morra'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 Rosa Morra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Morra more than expected).
Fields of papers citing papers by Rosa Morra
This network shows the impact of papers produced by Rosa Morra. 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 Rosa Morra. The network helps show where Rosa Morra may publish in the future.
Co-authors
The 25 scholars most cited alongside Rosa Morra, 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 | 2015 | 78 | |
| 2 | 2013 | 77 | |
| 3 | 2015 | 38 | |
| 4 | 2007 | 34 | |
| 5 | 2018 | 32 | |
| 6 | 2011 | 24 | |
| 7 | 2012 | 23 | |
| 8 | 2009 | 22 | |
| 9 | 2018 | 18 | |
| 10 | 2015 | 17 | |
| 11 | 2003 | 3 | |
| 12 | 2008 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2016 | 1 |
About Rosa Morra
Rosa Morra is a scholar working on Molecular Biology, Genetics, Immunology, Cellular and Molecular Neuroscience and Ecology, having authored 15 papers that have together received 372 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (4 papers), DNA Repair Mechanisms (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Physiology (33 citations), Geriatrics and Gerontology (22 citations), Oncology (97 citations), Molecular Biology (260 citations) and Immunology (55 citations). Rosa Morra has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Eva Barkauskaite, Ivan Ahel, John C. Lucchesi, Ruth Yokoyama, Neil Dixon, Edwin R. Smith, J.G.M. Rack, Anton Y. Peleg, Mary Ortmayer and Yue Qu. Their work appears in journals such as Molecular Cell, Protein Expression and Purification, Insect Molecular Biology, FEBS Letters and Molecular BioSystems.
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.