C. Vadász

461 citations
17 papers · 393 · h-index 11

Impact in

Papers in

C. Vadász

15 papers receiving 386 citations

Peers

C. Vadász
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 214
  • Behavioral Neuroscience 29
  • Developmental Neuroscience 26
  • Biological Psychiatry 12
  • Cognitive Neuroscience 93
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Hen R United States
Lucas Salomon France
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Élise Morice France
Vera Kiyasova France
W.G. Bradley France
Sylvia Montañez United States
Louis I. Rovner Canada
Leora Yetnikoff United States
Sonia Afroz United States
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Citations per field
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Citations per year

Countries citing papers authored by C. Vadász

Since Specialization
Citations

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

Fields of papers citing papers by C. Vadász

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 199075
2 199558
3 200255
4 200247
5 199035
6 200731
7
Genetic determination of mesencephalic tyrosine hydroxylase activity in the mouse.
198720
8 199518
9 200216
10 199814
11 199611
12 20234
13 19784
14
Sex preference and species specificity of rodent (Mus musculus and Microtus arvalis pheromones.
19753
15 19921
16
Seasonal changes in pituitary prolactin and growth hormone content of field voles in different reproductive states (Microtus arvalis Pall., Rodentia).
19741
17
[Pheromonal implantation inhibition].
19730

About C. Vadász

C. Vadász is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Developmental Neuroscience and Nature and Landscape Conservation, having authored 17 papers that have together received 393 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroendocrine regulation and behavior (2 papers), Olfactory and Sensory Function Studies (2 papers), Nerve injury and regeneration (2 papers), Neural dynamics and brain function (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (214 citations), Behavioral Neuroscience (29 citations), Developmental Neuroscience (26 citations), Biological Psychiatry (12 citations) and Cognitive Neuroscience (93 citations). C. Vadász has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Ábel Lajtha, I. Laszlovszky, György Buzsáki, Karen Bulloch, Oliver T. Wolf, Mony J. de Leon, Bruce S. McEwen, Victor V. Dyakin, Anisha I. Patel and Zsolt Horváth. Their work appears in journals such as Neuroscience, Genes Brain & Behavior, Neurochemical Research, Behavioural Processes and Journal of Zoology.

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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