Máté Tóth

52 papers receiving 1.8k citations

Peers

Máté Tóth
Comparison fields: 5 of 140
  • Behavioral Neuroscience 772
  • Biological Psychiatry 200
  • Social Psychology 781
  • Cellular and Molecular Neuroscience 446
  • Developmental Neuroscience 87
Replace Frans Sluyter with:
Frans Sluyter Netherlands
Kumi O. Kuroda Japan
Tamara B. Franklin Canada
Holger Russig Switzerland
Jörg Bock Germany
Éva Mikics Hungary
Vedran Lovic Canada
Robert M. Sapolsky United States
József Halász Hungary
Meghan E. Flanigan United States
Máté Tóth relative to Frans Sluyter Netherlands Frans Sluyter's profile →
Citations per field
00.5×5.6×
Frans Sluyter · 1×
Citations per year

Countries citing papers authored by Máté Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Máté Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017202
2 2011124
3 2006123
4 2008107
5 201784
6 200572
7 201267
8 200667
9 201059
10 201858
11 201253
12 199453
13 201752
14 201849
15 201049
16 201645
17 200542
18 200836
19 200931
20 201230

About Máté Tóth

Máté Tóth is a scholar working on Behavioral Neuroscience, Social Psychology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 54 papers that have together received 1.8k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (25 papers), Neuroendocrine regulation and behavior (23 papers), Memory and Neural Mechanisms (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Tryptophan and brain disorders (5 papers), Hypothalamic control of reproductive hormones (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). The work is most often cited by research in Behavioral Neuroscience (772 citations), Biological Psychiatry (200 citations), Social Psychology (781 citations), Cellular and Molecular Neuroscience (446 citations) and Developmental Neuroscience (87 citations). Máté Tóth has collaborated with scholars based in Hungary, United States and Switzerland. Frequent co-authors include József Haller, József Halász, Éva Mikics, Áron Tulogdi, Victoria B. Risbrough, Jessica Deslauriers, László Bíró, Andre Der‐Avakian, Elizabeth I. Flandreau and József Haller. Their work appears in journals such as Behavioural Brain Research, Neurobiology of Stress, Physiology & Behavior, Neuropsychopharmacology and Behavioural Pharmacology.

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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