Sonja Aits

4.3k citations
16 papers · 1.3k · 1 hit paper · h-index 13

Impact in

  • Physiology top 1%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
    • Autophagy in Disease and Therapy

Papers in

    • Cell death mechanisms and regulation 2
    • RNA modifications and cancer 1
    • Epigenetics and DNA Methylation 1
    • Autophagy in Disease and Therapy 7

Sonja Aits

15 papers receiving 1.3k citations

Sonja Aits's Hit Papers

Lysosomal cell death at a glance 2013 · 527 citations
5270+4+8Years since publication100200300400500

Peers

Sonja Aits
Comparison fields: 5 of 107
  • Physiology 211
  • Epidemiology 412
  • Cell Biology 199
  • Molecular Biology 661
  • Parasitology 60
Replace Line Groth‐Pedersen with:
Line Groth‐Pedersen Denmark
Ryuichi Masaki Japan
Petra Wäster Sweden
Eline van Meel United States
Timothy Schneider United States
Ole Dines Olsen Denmark
Nikolaj H.T. Petersen Denmark
Rosalie Lawrence United States
Hideaki Morishita Japan
Sonja Aits relative to Line Groth‐Pedersen Denmark Line Groth‐Pedersen's profile →
Citations per field
00.5×2.6×
Line Groth‐Pedersen · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Sonja Aits, 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 Sonja Aits Line = papers co-authored together Sonja Aits links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Lysosomal cell death at a glance
Hit paper breakdown →
2013527
2 2015319
3 201577
4 200765
5 200862
6 201261
7 200955
8 201138
9 200836
10 201128
11 201618
12 200818
13 201915
14 20223
15 20092
16 20231

About Sonja Aits

Sonja Aits is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Physiology and Oncology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Calcium signaling and nucleotide metabolism (4 papers), Cellular transport and secretion (3 papers), Cell death mechanisms and regulation (2 papers), Lysosomal Storage Disorders Research (2 papers), Cancer Research and Treatments (2 papers), RNA modifications and cancer (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Physiology (211 citations), Epidemiology (412 citations), Cell Biology (199 citations), Molecular Biology (661 citations) and Parasitology (60 citations). Sonja Aits has collaborated with scholars based in Sweden, Singapore and Denmark. Frequent co-authors include Marja Jäättelä, Jesper Nylandsted, Catharina Svanborg, Elisabeth Corcelle–Termeau, Lotta Gustafsson, Jennifer Kricker, Siri Tvingsholm, Thomas Farkas, Anne‐Marie Ellegaard and Monika Mortensen. Their work appears in journals such as PLoS ONE, Assay and Drug Development Technologies, Advances in experimental medicine and biology, International Journal of Cancer and Autophagy.

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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