Sonja Aits

4.2k 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
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

Sonja Aits

15 papers receiving 1.2k citations

Sonja Aits's Hit Papers

Lysosomal cell death at a glance 2013 · 499 citations
4990+4+8Years since publication100200300400

Peers

Sonja Aits
Comparison fields: 5 of 106
  • Physiology 215
  • Cell Biology 201
  • Epidemiology 411
  • Molecular Biology 681
  • Parasitology 64
Replace Line Groth‐Pedersen with:
Line Groth‐Pedersen Denmark
Tomohisa Hatta Japan
Tina Cirman Slovenia
Petra Wäster Sweden
Ryuichi Masaki Japan
Nikolaj H.T. Petersen Denmark
Rosalie Lawrence United States
Ole Dines Olsen Denmark
Eline van Meel United States
Cathrine Nilsson Sweden
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 →
2013499
2 2015302
3 201573
4 200860
5 201259
6 200755
7 200954
8 201137
9 200833
10 201126
11 200818
12 201617
13 201912
14 20222
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 (8 papers), Calcium signaling and nucleotide metabolism (4 papers), Cellular transport and secretion (3 papers), Cancer Research and Treatments (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lysosomal Storage Disorders Research (2 papers), Cell death mechanisms and regulation (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Physiology (215 citations), Cell Biology (201 citations), Epidemiology (411 citations), Molecular Biology (681 citations) and Parasitology (64 citations). Sonja Aits has collaborated with scholars based in Sweden, Singapore and Denmark. Frequent co-authors include Marja Jäättelä, Jesper Nylandsted, Elisabeth Corcelle–Termeau, Catharina Svanborg, Lotta Gustafsson, Siri Tvingsholm, Irina Gromova, Saara Hämälistö, Thomas Farkas and Anna Holm Jonassen. Their work appears in journals such as PLoS ONE, Assay and Drug Development Technologies, Autophagy, Advances in experimental medicine and biology and Data in Brief.

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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