Csaba Vadász

2.6k citations
52 papers · 1.8k · h-index 25

Impact in

Papers in

Csaba Vadász

52 papers receiving 1.8k citations

Peers

Csaba Vadász
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 933
  • Pharmacology 412
  • Behavioral Neuroscience 69
  • Developmental Neuroscience 66
  • Cognitive Neuroscience 282
Replace Katerina Zavitsanou with:
Katerina Zavitsanou Australia
L. Beani Italy
Zsófia Maglóczky Hungary
Érika Borcel Spain
Erik Keimpema Sweden
Richard A. Rabin United States
G.C. Wagner United States
Taco R. Werkman Netherlands
Rajesh R. Ugale India
Matthew B. Wilkinson United States
Csaba Vadász relative to Katerina Zavitsanou Australia Katerina Zavitsanou's profile →
Citations per field
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Katerina Zavitsanou · 1×
Citations per year

Countries citing papers authored by Csaba Vadász

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Vadász

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003295
2 2013217
3 2005102
4 198184
5 200277
6 200274
7 200860
8 202059
9 200759
10 201557
11 201056
12 200154
13 200544
14 198842
15 201038
16 200732
17 200031
18 200030
19 198230
20 200729

About Csaba Vadász

Csaba Vadász is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Genetics and Developmental Neuroscience, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (18 papers), Neuroscience and Neuropharmacology Research (13 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Receptor Mechanisms and Signaling (6 papers), Adipose Tissue and Metabolism (6 papers), Prenatal Substance Exposure Effects (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Biochemical Analysis and Sensing Techniques (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (933 citations), Pharmacology (412 citations), Behavioral Neuroscience (69 citations), Developmental Neuroscience (66 citations) and Cognitive Neuroscience (282 citations). Csaba Vadász has collaborated with scholars based in United States, Hungary and Australia. Frequent co-authors include Mariko Saito, Istvan Szakall, Basalingappa L. Hungund, Balapal S. Basavarajappa, Ábel Lajtha, Ágota Ádám, Ray Wang, Attila Csordás, Matthew R. Gielow and Zoltán Nádasdy. Their work appears in journals such as Alcohol, Neurochemical Research, Alcoholism Clinical and Experimental Research, Journal of Neurochemistry 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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