Sonja Aits

4.4k citations
17 papers · 3.5k · 2 hit papers · h-index 14

Impact in

Papers in

    • Autophagy in Disease and Therapy 9
    • Cell death mechanisms and regulation 10
    • Ubiquitin and proteasome pathways 1
    • Heat shock proteins research 1
    • Protein Structure and Dynamics 1

Sonja Aits

17 papers receiving 3.4k citations

Sonja Aits's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 2021 · 2.1k citations
2.1k0+4+8Years since publication5001k1.5k2k

Peers

Sonja Aits
Comparison fields: 5 of 122
  • Epidemiology 1.4k
  • Aging 39
  • Physiology 80
  • Cell Biology 197
  • Molecular Biology 911
Replace Megumi Inomata with:
Megumi Inomata Japan
Sang Sun Kang South Korea
Lipi Thukral India
Cheol O. Joe South Korea
Mette Prætorius-Ibba United States
Morten Luhr Norway
Ian Edward Gentle Germany
Ravi R. Manjithaya India
Alf Håkon Lystad Norway
Claudio Marcelo Fader Argentina
Sonja Aits relative to Megumi Inomata Japan Megumi Inomata's profile →
Citations per field
00.5×2×3×3.7×
Megumi Inomata · 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

17 of 17 papers shown
#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Hit paper breakdown →
20212067
2
Lysosomal cell death at a glance
Hit paper breakdown →
2013553
3 2015349
4 201581
5 200867
6 201264
7 200763
8 200954
9 201140
10 200834
11 201128
12 200819
13 201619
14 201915
15 20214
16 20193
17 20092

About Sonja Aits

Sonja Aits is a scholar working on Epidemiology, Molecular Biology, Microbiology, Cell Biology and Immunology, having authored 17 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (10 papers), Autophagy in Disease and Therapy (9 papers), Antimicrobial Peptides and Activities (2 papers), Ubiquitin and proteasome pathways (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Heat shock proteins research (1 paper), Protein Structure and Dynamics (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Epidemiology (1.4k citations), Aging (39 citations), Physiology (80 citations), Cell Biology (197 citations) and Molecular Biology (911 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, Saara Hämälistö, Bin Liu, Thomas Farkas, Jennifer Ann Kricker and Irina Gromova. Their work appears in journals such as PLoS ONE, Autophagy, BMC Cancer, Assay and Drug Development Technologies and Journal of Cell Science.

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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