Éva Mikics

2.8k citations
49 papers · 2.1k indexed · h-index 27

Impact in

Papers in

Éva Mikics

47 papers receiving 2.1k citations

Peers

Éva Mikics
Comparison fields: 5 of 104
  • Behavioral Neuroscience 810
  • Biological Psychiatry 157
  • Cellular and Molecular Neuroscience 821
  • Social Psychology 821
  • Pharmacology 510
Replace Eric W. Fish with:
Eric W. Fish United States
József Halász Hungary
Dóra Zelena Hungary
Lucianne Groenink Netherlands
Silvana Chiavegatto Brazil
Jamie C. Day Canada
Christina S. Barr United States
Gina L. Forster United States
Stephen V. Mahler United States
Sylvie Ramboz United States
Éva Mikics relative to Eric W. Fish United States Eric W. Fish's profile →
Citations per field
00.5×3.1×
Eric W. Fish · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20238
4 202120
5 201820
6 201746
7 201717
8 201345
9 201263
10 201120
11 200934
12 200928
13 2008101
14 200835
15 200722
16 200618
17 200563
18 200526
19 2005107
20 200029

About Éva Mikics

Éva Mikics is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Social Psychology, Biological Psychiatry and Cognitive Neuroscience, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (24 papers), Neuroendocrine regulation and behavior (23 papers), Neuroscience and Neuropharmacology Research (13 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Memory and Neural Mechanisms (10 papers), Cannabis and Cannabinoid Research (8 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Behavioral Neuroscience (810 citations), Biological Psychiatry (157 citations), Cellular and Molecular Neuroscience (821 citations), Social Psychology (821 citations) and Pharmacology (510 citations). Éva Mikics has collaborated with scholars based in Hungary, United States and Finland. Frequent 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. Their work appears in journals such as Neurobiology of Stress, European Journal of Neuroscience, Psychoneuroendocrinology, Behavioural Pharmacology and Hormones and Behavior.

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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