Charilaos Avrabos

660 total citations
8 papers, 508 citations indexed

About

Charilaos Avrabos is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Charilaos Avrabos has authored 8 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Behavioral Neuroscience, 4 papers in Cognitive Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Charilaos Avrabos's work include Stress Responses and Cortisol (4 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Charilaos Avrabos is often cited by papers focused on Stress Responses and Cortisol (4 papers), Neural dynamics and brain function (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Charilaos Avrabos collaborates with scholars based in Germany, Taiwan and United Kingdom. Charilaos Avrabos's co-authors include Matthias Eder, Wolfgang Wurst, Jan M. Deussing, Gregor von Wolff, Damián Refojo, Christoph K. Thoeringer, David Engblom, Carsten T. Wotjak, Klaus‐Armin Nave and Chadi Touma and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Charilaos Avrabos

8 papers receiving 501 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Charilaos Avrabos Germany 7 295 173 149 124 96 8 508
Thomas Roskoden Germany 13 100 0.3× 173 1.0× 78 0.5× 56 0.5× 106 1.1× 23 430
François Frenois France 8 310 1.1× 342 2.0× 85 0.6× 282 2.3× 174 1.8× 9 740
Yuki Imoto Japan 9 187 0.6× 122 0.7× 43 0.3× 207 1.7× 99 1.0× 11 531
Alexia T. Kedves United States 5 258 0.9× 195 1.1× 110 0.7× 150 1.2× 87 0.9× 5 463
Klára Felszeghy Hungary 11 175 0.6× 78 0.5× 136 0.9× 50 0.4× 63 0.7× 15 398
Megan P. Hicks United States 5 114 0.4× 266 1.5× 98 0.7× 48 0.4× 101 1.1× 7 400
M. Aronsson Sweden 9 278 0.9× 213 1.2× 141 0.9× 34 0.3× 179 1.9× 9 620
T. Jordan Walter United States 8 116 0.4× 143 0.8× 21 0.1× 207 1.7× 116 1.2× 12 626
Akira Yoshimi Japan 12 66 0.2× 158 0.9× 47 0.3× 90 0.7× 197 2.1× 55 499
Laurie M. Brown United States 12 80 0.3× 177 1.0× 36 0.2× 30 0.2× 99 1.0× 16 459

Countries citing papers authored by Charilaos Avrabos

Since Specialization
Citations

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

Fields of papers citing papers by Charilaos Avrabos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charilaos Avrabos

This figure shows the co-authorship network connecting the top 25 collaborators of Charilaos Avrabos. A scholar is included among the top collaborators of Charilaos Avrabos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charilaos Avrabos. Charilaos Avrabos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Dine, Julien, Irina Ionescu, Charilaos Avrabos, et al.. (2015). Intranasally Applied Neuropeptide S Shifts a High-Anxiety Electrophysiological Endophenotype in the Ventral Hippocampus towards a "Normal"-Anxiety One. PLoS ONE. 10(4). e0120272–e0120272. 20 indexed citations
2.
Wang, Xiaodong, Yun‐Ai Su, Klaus V. Wagner, et al.. (2013). Nectin-3 links CRHR1 signaling to stress-induced memory deficits and spine loss. Nature Neuroscience. 16(6). 706–713. 100 indexed citations
3.
Avrabos, Charilaos, et al.. (2013). Real-Time Imaging of Amygdalar Network DynamicsIn VitroReveals a Neurophysiological Link to Behavior in a Mouse Model of Extremes in Trait Anxiety. Journal of Neuroscience. 33(41). 16262–16267. 13 indexed citations
4.
Refojo, Damián, Claudia Kuehne, Christoph K. Thoeringer, et al.. (2011). Glutamatergic and Dopaminergic Neurons Mediate Anxiogenic and Anxiolytic Effects of CRHR1. Science. 333(6051). 1903–1907. 249 indexed citations
5.
Schmidt, Mathias V., Claudia Liebl, Michael Stieß, et al.. (2011). Tumor suppressor down-regulated in renal cell carcinoma 1 (DRR1) is a stress-induced actin bundling factor that modulates synaptic efficacy and cognition. Proceedings of the National Academy of Sciences. 108(41). 17213–17218. 52 indexed citations
6.
Hambsch, Boris, Mélanie Meyer, Charilaos Avrabos, et al.. (2010). Methylglyoxal‐mediated anxiolysis involves increased protein modification and elevated expression of glyoxalase 1 in the brain. Journal of Neurochemistry. 113(5). 1240–1251. 51 indexed citations
7.
Wolff, Gregor von, Charilaos Avrabos, Jens Stepan, et al.. (2010). Voltage-sensitive dye imaging demonstrates an enhancing effect of corticotropin-releasing hormone on neuronal activity propagation through the hippocampal formation. Journal of Psychiatric Research. 45(2). 256–261. 22 indexed citations

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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