Sonja Grilc

918 citations
23 papers · 815 · h-index 15

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 13
    • Ion channel regulation and function 3
    • Peroxisome Proliferator-Activated Receptors 1
    • Cellular transport and secretion 15

Sonja Grilc

22 papers receiving 802 citations

Peers

Sonja Grilc
Comparison fields: 5 of 66
  • Cell Biology 369
  • Cellular and Molecular Neuroscience 402
  • Neurology 174
  • Developmental Neuroscience 80
  • Physiology 88
Replace Saheeb Ahmed with:
Saheeb Ahmed Germany
Carolina Montenegro‐Venegas Germany
Dick Wu United States
M. Josh Hasbani United States
Shinichi Nakamuta Japan
Gek-Ming Sia United States
Ferdi Rıdvan Kiral United States
Jérôme E. Roger France
Kristin L. Arendt United States
Thomas C. Südhof United States
Sonja Grilc relative to Saheeb Ahmed Germany Saheeb Ahmed's profile →
Citations per field
00.5×3.6×
Saheeb Ahmed · 1×
Citations per year

Countries citing papers authored by Sonja Grilc

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Grilc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004159
2 2003105
3 201085
4 200078
5 200766
6 201156
7 200344
8 200841
9 199436
10 200330
11 200627
12 200420
13 200820
14 200515
15 200915
16 20067
17 20084
18 20052
19 19942
20 20101

About Sonja Grilc

Sonja Grilc is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Physiology and Surgery, having authored 23 papers that have together received 815 indexed citations. Recurring topics across this work include Cellular transport and secretion (15 papers), Lipid Membrane Structure and Behavior (13 papers), Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Ion channel regulation and function (3 papers), Neuroscience and Neural Engineering (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Cell Biology (369 citations), Cellular and Molecular Neuroscience (402 citations), Neurology (174 citations), Developmental Neuroscience (80 citations) and Physiology (88 citations). Sonja Grilc has collaborated with scholars based in Slovenia, United States and Norway. Frequent co-authors include Robert Zorec, Marko Kreft, Matjaž Stenovec, Tina Pangršič, Maja Potokar, Marjan Slak Rupnik, Mojca Kržan, Philip G. Haydon, Milos Pekny and Li-Zhen Li. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Neuroscience, Glia, American Journal of Physiology-Cell Physiology and FEBS Letters.

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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