Sonja Aits

16 papers and 1.2k indexed citations i.

About

Sonja Aits is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Sonja Aits has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Epidemiology and 6 papers in Cell Biology. Recurrent topics in Sonja Aits’s work include Autophagy in Disease and Therapy (8 papers), Calcium signaling and nucleotide metabolism (4 papers) and Cellular transport and secretion (3 papers). Sonja Aits is often cited by papers focused on Autophagy in Disease and Therapy (8 papers), Calcium signaling and nucleotide metabolism (4 papers) and Cellular transport and secretion (3 papers). Sonja Aits collaborates with scholars based in Sweden, Singapore and Denmark. Sonja Aits's co-authors include Marja Jäättelä, Jesper Nylandsted, Elisabeth Corcelle–Termeau, Catharina Svanborg, Lotta Gustafsson, Irina Gromova, Jennifer Kricker, Bin Liu, Søren Høgh and Siri Tvingsholm and has published in prestigious journals such as PLoS ONE, Oncogene and Journal of Cell Science.

In The Last Decade

Co-authorship network of co-authors of Sonja Aits i

Fields of papers citing papers by Sonja Aits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sonja Aits

Since Specialization
Citations

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