Eugene Tóth

803 citations
21 papers · 709 · h-index 14

Impact in

Papers in

Eugene Tóth

21 papers receiving 682 citations

Peers

Eugene Tóth
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 519
  • Biological Psychiatry 55
  • Biochemistry 63
  • Molecular Biology 433
  • Behavioral Neuroscience 21
Replace Keiko Ikemoto with:
Keiko Ikemoto Japan
Yukiteru Machiyama Japan
M. Bureau United States
M Raiteri Italy
Audrey Hashim United States
D. T. Monaghan United States
Pauline Lerner United States
I. Bresink Germany
Takashige Nishikawa Japan
Reiji Iizuka Japan
Eugene Tóth relative to Keiko Ikemoto Japan Keiko Ikemoto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eugene Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Eugene 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 Eugene Tóth Line = papers co-authored together Eugene Tóth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992168
2 199396
3 198677
4 198363
5 198155
6 199550
7 199432
8 199626
9 198925
10 198423
11 199519
12 199318
13 199217
14 197915
15
Xanthone derivatives with centrally stimulating and analeptic activities.
19686
16 19846
17 19975
18
Effect of chronic ethanol administration on brain protein breakdown in mice in vivo.
19843
19 19803
20 19981

About Eugene Tóth

Eugene Tóth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Clinical Biochemistry, Physiology and Biochemistry, having authored 21 papers that have together received 709 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Metabolism and Genetic Disorders (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Receptor Mechanisms and Signaling (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Biochemical effects in animals (3 papers), Ion channel regulation and function (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (519 citations), Biological Psychiatry (55 citations), Biochemistry (63 citations), Molecular Biology (433 citations) and Behavioral Neuroscience (21 citations). Eugene Tóth has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include Ábel Lajtha, E. S. Vizi, Henry Sershen, A. Hashim, E. Sylvester Vizi, S. Sarhan, Nikolaus Seiler, J. Kiss, Milton Tabachnick and Árpád Mike. Their work appears in journals such as Neurochemical Research, Brain Research, Pharmacology Biochemistry and Behavior, General and Comparative Endocrinology and Neuropharmacology.

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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