Daniela Ruffell

672 citations
8 papers · 512 · h-index 4

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • RNA Interference and Gene Delivery 2
    • Muscle Physiology and Disorders 1
    • Histone Deacetylase Inhibitors Research 1
    • Viral gastroenteritis research and epidemiology 2
    • SARS-CoV-2 and COVID-19 Research 1

Daniela Ruffell

7 papers receiving 509 citations

Peers

Daniela Ruffell
Comparison fields: 5 of 82
  • Immunology 253
  • Neurology 57
  • Rehabilitation 43
  • Genetics 55
  • Physiology 18
Replace Shelley B. Weisser with:
Shelley B. Weisser Canada
Tomi Lazarov United States
Chang Su China
Susanne Wasmuth Germany
Constance Hobusch Germany
Claudia Z. Han United States
Cristina Cappelletti Italy
Esfir Slonimsky Italy
Marianna Esposito Italy
Martin Filipec Czechia
Daniela Ruffell relative to Shelley B. Weisser Canada Shelley B. Weisser's profile →
Citations per field
00.5×2.5×
Shelley B. Weisser · 1×
Citations per year

Countries citing papers authored by Daniela Ruffell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniela Ruffell Line = papers co-authored together Daniela Ruffell links everyone, so they are left out of the graph.

All Works

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 512 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Muscle Physiology and Disorders (1 paper), COVID-19 diagnosis using AI (1 paper), Histone Deacetylase Inhibitors Research (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Genetically Modified Organisms Research (1 paper). The work is most often cited by research in Immunology (253 citations), Neurology (57 citations), Rehabilitation (43 citations), Genetics (55 citations) and Physiology (18 citations). Daniela Ruffell has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Nadia Rosenthal, Rodolphe G. Lopez, Foteini Mourkioti, Adriana Rosa Gambardella, Claus Nerlov, Peggy Kirstetter 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.

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