Géza Tóth

4.9k citations
244 papers · 4.2k · h-index 35

Impact in

    • Neuropeptides and Animal Physiology
    • Receptor Mechanisms and Signaling
    • Chemical Synthesis and Analysis
    • Pharmacological Receptor Mechanisms and Effects
    • Biochemical and Structural Characterization

Papers in

    • Receptor Mechanisms and Signaling 99
    • Chemical Synthesis and Analysis 59
    • Pharmacological Receptor Mechanisms and Effects 56
    • Biochemical and Structural Characterization 25
    • Neuropeptides and Animal Physiology 157

Géza Tóth

238 papers receiving 4.1k citations

Peers

Géza Tóth
Comparison fields: 5 of 118
  • Cellular and Molecular Neuroscience 2.6k
  • Molecular Biology 2.8k
  • Spectroscopy 588
  • Physiology 789
  • Behavioral Neuroscience 65
Replace Stephen M. Husbands with:
Stephen M. Husbands United Kingdom
Mari R. Candelore United States
Arthur E. Jacobson United States
Victor J. Lotti United States
Harald Hübner Germany
Michael Entzeroth Germany
Raymond S.L. Chang United States
Lawrence Toll United States
Lawrence H. Lazarus United States
P. Dostert Italy
Géza Tóth relative to Stephen M. Husbands United Kingdom Stephen M. Husbands's profile →
Citations per field
00.5×5.5×
Stephen M. Husbands · 1×
Citations per year

Countries citing papers authored by Géza Tóth

Since Specialization
Citations

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

Fields of papers citing papers by Géza Tóth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 244 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998118
2 1999117
3 199993
4 200286
5 199981
6 200569
7 198966
8 199665
9 200062
10 199459
11 200157
12 198957
13 198656
14 199053
15 200852
16 199951
17 199848
18 200148
19 198248
20 200047

About Géza Tóth

Géza Tóth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Spectroscopy, Physiology and Organic Chemistry, having authored 244 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (157 papers), Receptor Mechanisms and Signaling (99 papers), Chemical Synthesis and Analysis (59 papers), Pharmacological Receptor Mechanisms and Effects (56 papers), Analytical Chemistry and Chromatography (29 papers), Pain Mechanisms and Treatments (26 papers), Biochemical and Structural Characterization (25 papers) and Chemical Reactions and Isotopes (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.6k citations), Molecular Biology (2.8k citations), Spectroscopy (588 citations), Physiology (789 citations) and Behavioral Neuroscience (65 citations). Géza Tóth has collaborated with scholars based in Hungary, United States and Belgium. Frequent co-authors include Antal Péter, Anna Borsodi, Dirk Tourwé, Csaba Tömböly, Sándor Benyhe, Victor J. Hruby, Barbara Przewłocka, Gabriëlla Török, Ferenc Ötvös and Attila Borics. Their work appears in journals such as Journal of Chromatography A, Peptides, Journal of Medicinal Chemistry, Life Sciences and Regulatory Peptides.

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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