Daniela Padula

10 papers and 410 indexed citations i.

About

Daniela Padula is a scholar working on Cell Biology, Genetics and Molecular Biology. According to data from OpenAlex, Daniela Padula has authored 10 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Daniela Padula’s work include Cellular Mechanics and Interactions (4 papers), Epigenetics and DNA Methylation (2 papers) and Cell Adhesion Molecules Research (2 papers). Daniela Padula is often cited by papers focused on Cellular Mechanics and Interactions (4 papers), Epigenetics and DNA Methylation (2 papers) and Cell Adhesion Molecules Research (2 papers). Daniela Padula collaborates with scholars based in Germany, Italy and United States. Daniela Padula's co-authors include Denitsa Docheva, Matthias Schieker, Hauke Clausen‐Schaumann, Cvetan Popov, W. Mutschler, Heiko Lickert, Wolfgang Böcker, Mikael Nilsson, Daniel L. Altschuler and Henrik Fagman and has published in prestigious journals such as PLoS ONE, Development and Biochemical and Biophysical Research Communications.

In The Last Decade

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

Fields of papers citing papers by Daniela Padula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Padula. 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 Padula. The network helps show where Daniela Padula may publish in the future.

Countries citing papers authored by Daniela Padula

Since Specialization
Citations

This map shows the geographic impact of Daniela Padula'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 Padula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Padula 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.

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2025