Éva Mikics

2.8k total citations
49 papers, 2.1k citations indexed

About

Éva Mikics is a scholar working on Behavioral Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Éva Mikics has authored 49 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Behavioral Neuroscience, 23 papers in Social Psychology and 21 papers in Cellular and Molecular Neuroscience. Recurrent topics in Éva Mikics's work include Stress Responses and Cortisol (24 papers), Neuroendocrine regulation and behavior (23 papers) and Neuroscience and Neuropharmacology Research (13 papers). Éva Mikics is often cited by papers focused on Stress Responses and Cortisol (24 papers), Neuroendocrine regulation and behavior (23 papers) and Neuroscience and Neuropharmacology Research (13 papers). Éva Mikics collaborates with scholars based in Hungary, United States and Finland. Éva Mikics's co-authors include József Haller, József Halász, Máté Tóth, Menno R. Kruk, Boglárka Barsy, Gábor B. Makara, Áron Tulogdi, Beáta Barsvári, Manó Aliczki and László Bíró and has published in prestigious journals such as Science, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Éva Mikics

47 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éva Mikics Hungary 27 821 821 810 510 365 49 2.1k
Michael J. Watt United States 30 689 0.8× 856 1.0× 828 1.0× 200 0.4× 236 0.6× 62 2.6k
József Halász Hungary 28 620 0.8× 1.1k 1.3× 981 1.2× 139 0.3× 361 1.0× 61 2.4k
Barbara Vollmayr Germany 29 1.3k 1.6× 672 0.8× 1.2k 1.5× 347 0.7× 602 1.6× 65 3.2k
Dóra Zelena Hungary 31 656 0.8× 1.3k 1.5× 1.2k 1.5× 246 0.5× 327 0.9× 151 2.9k
Paola Casolini Italy 24 1.0k 1.3× 915 1.1× 1.3k 1.7× 169 0.3× 321 0.9× 45 2.7k
Eric W. Fish United States 28 1.1k 1.3× 1.2k 1.5× 788 1.0× 164 0.3× 384 1.1× 51 3.1k
Lucianne Groenink Netherlands 34 1.2k 1.5× 1.0k 1.3× 1.2k 1.5× 192 0.4× 548 1.5× 103 3.0k
Melinda M. Miller United States 8 660 0.8× 503 0.6× 1.1k 1.3× 177 0.3× 483 1.3× 9 2.2k
Rebecca M. Shansky United States 25 676 0.8× 1.1k 1.4× 1.7k 2.1× 181 0.4× 814 2.2× 43 3.0k
Sabine Chourbaji Germany 26 820 1.0× 613 0.7× 1.1k 1.3× 144 0.3× 229 0.6× 45 2.4k

Countries citing papers authored by Éva Mikics

Since Specialization
Citations

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

Fields of papers citing papers by Éva Mikics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éva Mikics

This figure shows the co-authorship network connecting the top 25 collaborators of Éva Mikics. A scholar is included among the top collaborators of Éva Mikics 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 Éva Mikics. Éva Mikics is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tóth, Máté, et al.. (2025). Repeated behavioral testing and the use of summary measures reveal trait anxiety in preclinical rodent models. Translational Psychiatry. 15(1). 440–440.
2.
Szabo, Steven T., et al.. (2025). Dynamic changes of serotonin transporter expression in the prefrontal cortex evoked by aggressive social interactions. Neurobiology of Stress. 36. 100722–100722. 2 indexed citations
3.
4.
Bíró, László, Dóra Zelena, Eszter Sipos, et al.. (2021). Neurochemically distinct populations of the bed nucleus of stria terminalis modulate innate fear response to weak threat evoked by predator odor stimuli. Neurobiology of Stress. 15. 100415–100415. 20 indexed citations
5.
Halász, József, et al.. (2018). Changes in neuroplasticity following early-life social adversities: the possible role of brain-derived neurotrophic factor. Pediatric Research. 85(2). 225–233. 20 indexed citations
6.
Mikics, Éva, Ramón Guirado, Juzoh Umemori, et al.. (2017). Social Learning Requires Plasticity Enhanced by Fluoxetine Through Prefrontal Bdnf-TrkB Signaling to Limit Aggression Induced by Post-Weaning Social Isolation. Neuropsychopharmacology. 43(2). 235–245. 46 indexed citations
7.
Mikics, Éva, et al.. (2017). The role of GluN2B-containing NMDA receptors in short- and long-term fear recall. Physiology & Behavior. 177. 44–48. 17 indexed citations
8.
Aliczki, Manó, Dóra Zelena, Éva Mikics, et al.. (2013). Monoacylglycerol lipase inhibition-induced changes in plasma corticosterone levels, anxiety and locomotor activity in male CD1 mice. Hormones and Behavior. 63(5). 752–758. 45 indexed citations
9.
Tóth, Máté, et al.. (2012). The neural background of hyper-emotional aggression induced by post-weaning social isolation. Behavioural Brain Research. 233(1). 120–129. 63 indexed citations
10.
Haller, József, et al.. (2011). NR2B subunit-specific NMDA antagonist Ro25-6981 inhibits the expression of conditioned fear. Behavioural Pharmacology. 22(2). 113–121. 20 indexed citations
11.
Mikics, Éva, et al.. (2009). Interactions between the anxiogenic effects of CB1 gene disruption and 5-HT3 neurotransmission. Behavioural Pharmacology. 20(3). 265–272. 34 indexed citations
12.
Halász, József, Dóra Zelena, Máté Tóth, et al.. (2009). Substance P neurotransmission and violent aggression: The role of tachykinin NK1 receptors in the hypothalamic attack area. European Journal of Pharmacology. 611(1-3). 35–43. 28 indexed citations
13.
Tóth, Máté, József Halász, Éva Mikics, Boglárka Barsy, & József Haller. (2008). Early social deprivation induces disturbed social communication and violent aggression in adulthood.. Behavioral Neuroscience. 122(4). 849–854. 101 indexed citations
14.
Mikics, Éva, Máté Tóth, Balázs Gereben, et al.. (2008). Lasting changes in social behavior and amygdala function following traumatic experience induced by a single series of foot-shocks. Psychoneuroendocrinology. 33(9). 1198–1210. 35 indexed citations
15.
Halász, József, Máté Tóth, Éva Mikics, et al.. (2007). The Effect of Neurokinin1 Receptor Blockade on Territorial Aggression and in a Model of Violent Aggression. Biological Psychiatry. 63(3). 271–278. 22 indexed citations
16.
17.
Haller, József, Éva Mikics, József Halász, & Máté Tóth. (2005). Mechanisms differentiating normal from abnormal aggression: Glucocorticoids and serotonin. European Journal of Pharmacology. 526(1-3). 89–100. 63 indexed citations
18.
Lévay, György, et al.. (2005). Pharmacological evaluation of the stress-induced social avoidance model of anxiety. Brain Research Bulletin. 69(2). 153–160. 26 indexed citations
19.
Mikics, Éva, Boglárka Barsy, Beáta Barsvári, & József Haller. (2005). Behavioral specificity of non-genomic glucocorticoid effects in rats: Effects on risk assessment in the elevated plus-maze and the open-field. Hormones and Behavior. 48(2). 152–162. 107 indexed citations
20.
Vadász, Csaba, et al.. (2000). Scanning of five chromosomes for alcohol consumption loci. Alcohol. 22(1). 25–34. 29 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael J. Watt Breakdown of academic impact, for papers by József Halász Breakdown of academic impact, for papers by Barbara Vollmayr Breakdown of academic impact, for papers by Dóra Zelena Breakdown of academic impact, for papers by Paola Casolini Breakdown of academic impact, for papers by Eric W. Fish Breakdown of academic impact, for papers by Lucianne Groenink Breakdown of academic impact, for papers by Melinda M. Miller Breakdown of academic impact, for papers by Rebecca M. Shansky Breakdown of academic impact, for papers by Sabine Chourbaji
Rankless by CCL
2026