Miklós Tóth
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Cognitive Neuroscience top 2%
- Genetics top 2%
- Behavioral Neuroscience top 0.5%
- Co-authors
- Etienne SibilleBruce S. McEwenThomas ShenkConstantine PavlidesChristopher L. ParksPatricia RobinsonChingwen YangAnalı́a Bortolozzi
- Topics
- Neurotransmitter Receptor Influence on Behavior (21 papers)Neuroscience and Neuropharmacology Research (20 papers)Receptor Mechanisms and Signaling (16 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Miklós Tóth
111 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 2.8k
- Molecular Biology 2.5k
- Cognitive Neuroscience 1.2k
- Genetics 986
- Behavioral Neuroscience 815
Countries citing papers authored by Miklós Tóth
This map shows the geographic impact of Miklós 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 Miklós Tóth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miklós Tóth more than expected).
Fields of papers citing papers by Miklós Tóth
This network shows the impact of papers produced by Miklós 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 Miklós Tóth. The network helps show where Miklós Tóth may publish in the future.
Co-authorship network of co-authors of Miklós Tóth
This figure shows the co-authorship network connecting the top 25 collaborators of Miklós Tóth. A scholar is included among the top collaborators of Miklós Tóth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miklós Tóth. Miklós Tóth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 52 | |
| 6 | 13 | |
| 7 | 70 | |
| 8 | Genetic Variant BDNF (Val66Met) Polymorphism Alters Anxiety-Related Behaviorbreakdown → | 1087 |
| 9 | 328 | |
| 10 | 34 | |
| 11 | 112 | |
| 12 | 53 | |
| 13 | 22 | |
| 14 | 269 | |
| 15 | 13 | |
| 16 | 113 | |
| 17 | 52 | |
| 18 | 14 | |
| 19 | Production of high titre human interferon-gamma in primed leukocyte cultures. | 1 |
| 20 | 7 |
About Miklós Tóth
Miklós Tóth is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 113 papers that have together received 6.3k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (21 papers), Neuroscience and Neuropharmacology Research (20 papers) and Receptor Mechanisms and Signaling (16 papers). The work is most often cited by research in Biological Psychiatry (586 citations), Behavioral Neuroscience (815 citations) and Cellular and Molecular Neuroscience (2.8k citations). Miklós Tóth has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Etienne Sibille, Bruce S. McEwen, Thomas Shenk, Constantine Pavlides, Christopher L. Parks, Patricia Robinson, Chingwen Yang, Analı́a Bortolozzi, Francesc Artigas and Kevin G. Bath. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids 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.