Piroska Dévay

1.9k citations
12 papers · 729 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Sphingolipid Metabolism and Signaling
    • Lipid Membrane Structure and Behavior
    • Signaling Pathways in Disease
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling

Papers in

Piroska Dévay

12 papers receiving 716 citations

Peers

Piroska Dévay
Comparison fields: 5 of 74
  • Cell Biology 159
  • Molecular Biology 607
  • Cellular and Molecular Neuroscience 113
  • Physiology 22
  • Developmental Neuroscience 18
Replace Sukalyan Chatterjee with:
Sukalyan Chatterjee United States
Noboru Takami Japan
Lisa M. Keranen United States
Christopher Tudan Canada
Heidi Olzscha United Kingdom
Susanne Sales Germany
S Hirai Japan
Katrina Boeckeler United Kingdom
K Fujimoto United States
Steven Banares United States
Piroska Dévay relative to Sukalyan Chatterjee United States Sukalyan Chatterjee's profile →
Citations per field
00.5×1.5×2.1×
Sukalyan Chatterjee · 1×
Citations per year

Countries citing papers authored by Piroska Dévay

Since Specialization
Citations

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

Fields of papers citing papers by Piroska Dévay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003368
2 1998121
3 200975
4 200467
5 200623
6 198919
7 198319
8 200715
9 198415
10 20214
11 19862
12 19871

About Piroska Dévay

Piroska Dévay is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Cell Biology and Organic Chemistry, having authored 12 papers that have together received 729 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Phosphodiesterase function and regulation (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Insect Resistance and Genetics (2 papers), Cellular transport and secretion (2 papers), Autism Spectrum Disorder Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Cell Biology (159 citations), Molecular Biology (607 citations), Cellular and Molecular Neuroscience (113 citations), Physiology (22 citations) and Developmental Neuroscience (18 citations). Piroska Dévay has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Andreas Billich, Thomas Baumruker, Frédéric Bornancin, Diana Mechtcheriakova, Nicole Urtz, Congrong Yu, Lorna W. Role, Yu‐Hung Kuo, Christine Gräf and Péter Friedrich. Their work appears in journals such as Virology, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Journal of Neurogenetics and Neuron.

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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