Daniela Ruffell

8 papers and 491 indexed citations i.

About

Daniela Ruffell is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Daniela Ruffell has authored 8 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Genetics. Recurrent topics in Daniela Ruffell’s work include RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and COVID-19 diagnosis using AI (1 paper). Daniela Ruffell is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and COVID-19 diagnosis using AI (1 paper). Daniela Ruffell collaborates with scholars based in Germany, Italy and United States. Daniela Ruffell's co-authors include Foteini Mourkioti, Claus Nerlov, Rodolphe G. Lopez, Peggy Kirstetter, Nadia Rosenthal, Adriana Rosa Gambardella and Etienne Joly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, FEBS Letters and PubMed.

In The Last Decade

Co-authorship network of co-authors of Daniela Ruffell i

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.

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025