C. Vadász

470 citations
18 papers · 399 · h-index 12

Impact in

Papers in

C. Vadász

16 papers receiving 392 citations

Peers

C. Vadász
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 245
  • Behavioral Neuroscience 34
  • Developmental Neuroscience 30
  • Cognitive Neuroscience 107
  • Biological Psychiatry 13
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Hen R United States
Vera Kiyasova France
Joachim Hanke Germany
Sarah Hunt Australia
Roger Marchbanks United Kingdom
Abigail M. Snyder United States
Louis I. Rovner Canada
Linda I. Anderson United States
Joe E. Penny United States
S.P. Damask United States
C. Vadász relative to Hen R United States Hen R's profile →
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

18 of 18 papers shown
#Work
1 199074
2 199558
3 200255
4 200247
5 199033
6 200730
7
Genetic determination of mesencephalic tyrosine hydroxylase activity in the mouse.
198720
8 199518
9 200216
10 199814
11 199412
12 199611
13 19784
14
Sex preference and species specificity of rodent (Mus musculus and Microtus arvalis pheromones.
19753
15 20232
16 19921
17
Seasonal changes in pituitary prolactin and growth hormone content of field voles in different reproductive states (Microtus arvalis Pall., Rodentia).
19741
18
[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 18 papers that have together received 399 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Nerve injury and regeneration (2 papers), Olfactory and Sensory Function Studies (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroendocrine regulation and behavior (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (245 citations), Behavioral Neuroscience (34 citations), Developmental Neuroscience (30 citations), Cognitive Neuroscience (107 citations) and Biological Psychiatry (13 citations). C. Vadász has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Ábel Lajtha, I. Laszlovszky, György Buzsáki, Victor V. Dyakin, Bruce S. McEwen, Karen Bulloch, Oliver T. Wolf, Mony J. de Leon, Zsolt Horváth and Adam Kandel. Their work appears in journals such as Neuroscience, Mammalian Genome, Neurochemical Research, Behavioural Processes and Brain Research.

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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