Gábor K. Tóth
Impact in
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- Neuropeptides and Animal Physiology
- Biological Psychiatry top 5%
Papers in
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- Neuropeptides and Animal Physiology 93
- Microbiology 22
- Antimicrobial Peptides and Activities 22
- Co-authors
- Ferenc FülöpTamás A. MartinekDóra ReglődiAndrea TamásP. KissIstván M. MándityElemér VassBotond Penke
- Journals
- Journal of Molecular Neuroscience (24 papers)Annals of the New York Academy of Sciences (9 papers)International Journal of Molecular Sciences (9 papers)Peptides (7 papers)Neuropeptides (5 papers)
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
Gábor K. Tóth
191 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 1.7k
- Biological Psychiatry 138
- Microbiology 334
- Behavioral Neuroscience 151
- Molecular Biology 2.8k
Countries citing papers authored by Gábor K. Tóth
This map shows the geographic impact of Gábor K. 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 Gábor K. Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor K. Tóth more than expected).
Fields of papers citing papers by Gábor K. Tóth
This network shows the impact of papers produced by Gábor K. 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 Gábor K. Tóth. The network helps show where Gábor K. Tóth may publish in the future.
Co-authors
The 25 scholars most cited alongside Gábor K. Tóth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 5 | |
| 8 | 2018 | 34 | |
| 9 | 2016 | 9 | |
| 10 | 2013 | 55 | |
| 11 | 2012 | 7 | |
| 12 | 2010 | 15 | |
| 13 | 2009 | 24 | |
| 14 | 2009 | 14 | |
| 15 | 2007 | 14 | |
| 16 | 2006 | 18 | |
| 17 | 2002 | 128 | |
| 18 | 2001 | 8 | |
| 19 | 2000 | 16 | |
| 20 | 1997 | 9 |
About Gábor K. Tóth
Gábor K. Tóth is a scholar working on Cellular and Molecular Neuroscience, Microbiology, Biological Psychiatry, Behavioral Neuroscience and Molecular Biology, having authored 194 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (93 papers), Receptor Mechanisms and Signaling (51 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (33 papers), Chemical Synthesis and Analysis (30 papers), Neuroendocrine regulation and behavior (24 papers), Antimicrobial Peptides and Activities (22 papers), Click Chemistry and Applications (13 papers) and Hypothalamic control of reproductive hormones (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Biological Psychiatry (138 citations), Microbiology (334 citations), Behavioral Neuroscience (151 citations) and Molecular Biology (2.8k citations). Gábor K. Tóth has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Ferenc Fülöp, Tamás A. Martinek, Dóra Reglődi, Andrea Tamás, P. Kiss, István M. Mándity, Elemér Vass, Botond Penke, Andrea Lubics and Tamás Atlasz. Their work appears in journals such as Journal of Molecular Neuroscience, Annals of the New York Academy of Sciences, International Journal of Molecular Sciences, Peptides and Neuropeptides.
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.