D Tokarev
- Social Psychology top 10%
- Behavioral Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Endocrine and Autonomic Systems top 10%
- Physiology
- Co-authors
- Daniela JežováIvana ŠkultétyováM VigašMilan RusnákMichal DubovickýRichard KvětňanskýKarel PacákAlexander Kiss
- Topics
- Stress Responses and Cortisol (5 papers)Biochemical Analysis and Sensing Techniques (4 papers)Neuroendocrine regulation and behavior (3 papers)
- Journals
- Annals of the New York Academy of SciencesPharmacology Biochemistry and BehaviorNeuroendocrinology
- Partner nations
- SlovakiaUnited States
In The Last Decade
D Tokarev
10 papers receiving 342 citations
Peers
Comparison fields: 5 of 69
- Social Psychology 163
- Behavioral Neuroscience 152
- Cellular and Molecular Neuroscience 99
- Endocrine and Autonomic Systems 87
- Physiology 51
Countries citing papers authored by D Tokarev
This map shows the geographic impact of D Tokarev'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 D Tokarev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Tokarev more than expected).
Fields of papers citing papers by D Tokarev
This network shows the impact of papers produced by D Tokarev. 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 D Tokarev. The network helps show where D Tokarev may publish in the future.
Co-authorship network of co-authors of D Tokarev
This figure shows the co-authorship network connecting the top 25 collaborators of D Tokarev. A scholar is included among the top collaborators of D Tokarev 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 D Tokarev. D Tokarev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Effect of nitric oxide inhibition on blood pressure and corticosterone responses in adult rats neonatally treated with glutamate. | 7 |
| 2 | 70 | |
| 3 | 7 | |
| 4 | 23 | |
| 5 | Effect of central administration of the non-NMDA receptor antagonist DNQX on ACTH and corticosterone release before and during immobilization stress. | 26 |
| 6 | 27 | |
| 7 | Treatment of neonatal rats with monosodium glutamate attenuates the cardiovascular reactivity to phenylephrine and angiotensin II. | 9 |
| 8 | Presence of atriopeptin-like immunoreactivity in human and rat milk. | 1 |
| 9 | 136 | |
| 10 | 51 |
About D Tokarev
D Tokarev is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Biological Psychiatry, having authored 10 papers that have together received 357 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Behavioral Neuroscience (152 citations), Endocrine and Autonomic Systems (87 citations) and Biological Psychiatry (27 citations). D Tokarev has collaborated with scholars based in Slovakia and United States. Frequent co-authors include Daniela Ježová, Ivana Škultétyová, M Vigaš, Milan Rusnák, Michal Dubovický, Richard Květňanský, Karel Pacák, Alexander Kiss, Viera Kristová and M Kriska. Their work appears in journals such as Annals of the New York Academy of Sciences, Pharmacology Biochemistry and Behavior and Neuroendocrinology.
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.