Daniela Ruffell
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Phagocytosis and Immune Regulation
- Immune Response and Inflammation
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- RNA Interference and Gene Delivery 2
- CRISPR and Genetic Engineering 1
- Epigenetics and DNA Methylation 1
- Muscle Physiology and Disorders 1
- Histone Deacetylase Inhibitors Research 1
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- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 detection and testing 1
- Co-authors
- Rodolphe G. Lopez (1 shared paper)Claus Nerlov (1 shared paper)Adriana Rosa Gambardella (1 shared paper)Nadia Rosenthal (1 shared paper)Peggy Kirstetter (1 shared paper)Foteini Mourkioti (1 shared paper)Etienne Joly (1 shared paper)
- Journals
- FEBS Letters (6 papers)Proceedings of the National Academy of Sciences (1 paper)PubMed (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Daniela Ruffell
8 papers receiving 531 citations
Daniela Ruffell's Hit Papers
Peers
Comparison fields: 5 of 79
- Immunology 246
- Neurology 58
- Rehabilitation 45
- Genetics 54
- Physiology 18
Countries citing papers authored by Daniela Ruffell
This map shows the geographic impact of Daniela Ruffell'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 Ruffell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Ruffell more than expected).
Fields of papers citing papers by Daniela Ruffell
This network shows the impact of papers produced by Daniela Ruffell. 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 Ruffell. The network helps show where Daniela Ruffell may publish in the future.
Co-authors
The 7 scholars most cited alongside Daniela Ruffell, 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 | A CREB-C/EBPβ cascade induces M2 macrophage-specific gene expression and promotes muscle injury repair Hit paper breakdown → | 2009 | 508 |
| 2 | 2020 | 10 | |
| 3 | 2021 | 6 | |
| 4 | 2018 | 5 | |
| 5 | Identification of complementary DNAs for RT1.A(n) and an additional class I molecule in the RT1n haplotype. | 1995 | 3 |
| 6 | 2020 | 1 | |
| 7 | 2019 | 1 | |
| 8 | 2009 | 1 |
About Daniela Ruffell
Daniela Ruffell is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 535 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (2 papers), CRISPR and Genetic Engineering (1 paper), Epigenetics and DNA Methylation (1 paper), SARS-CoV-2 detection and testing (1 paper), Genetically Modified Organisms Research (1 paper), Muscle Physiology and Disorders (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Immunology (246 citations), Neurology (58 citations), Rehabilitation (45 citations), Genetics (54 citations) and Physiology (18 citations). Daniela Ruffell has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Rodolphe G. Lopez, Claus Nerlov, Adriana Rosa Gambardella, Nadia Rosenthal, Peggy Kirstetter, Foteini Mourkioti and Etienne Joly. Their work appears in journals such as FEBS Letters, Proceedings of the National Academy of Sciences and PubMed.
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.