Věra Klenerová
- Behavioral Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Social Psychology top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- S. HynieZ HliňákIvan Krejčı́Jana Jur̀čovičováTakashi MorojiHiroshi YamamotoNarudo KawaiToshiyuki Yamamoto
- Topics
- Stress Responses and Cortisol (21 papers)Neuroendocrine regulation and behavior (19 papers)Adipose Tissue and Metabolism (7 papers)
In The Last Decade
Věra Klenerová
46 papers receiving 570 citations
Peers
Comparison fields: 5 of 84
- Behavioral Neuroscience 219
- Cellular and Molecular Neuroscience 208
- Social Psychology 202
- Molecular Biology 174
- Endocrine and Autonomic Systems 100
Countries citing papers authored by Věra Klenerová
This map shows the geographic impact of Věra Klenerová'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 Věra Klenerová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Věra Klenerová more than expected).
Fields of papers citing papers by Věra Klenerová
This network shows the impact of papers produced by Věra Klenerová. 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 Věra Klenerová. The network helps show where Věra Klenerová may publish in the future.
Co-authorship network of co-authors of Věra Klenerová
This figure shows the co-authorship network connecting the top 25 collaborators of Věra Klenerová. A scholar is included among the top collaborators of Věra Klenerová 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 Věra Klenerová. Věra Klenerová is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 48 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | Oxytocin and carbetocin ameliorating effects on restraint stress-induced short- and long-term behavioral changes in rats. | 14 |
| 9 | 18 | |
| 10 | 11 | |
| 11 | Dipeptide "alaptide" prevented impairments in spontaneous behavior produced with trimethyltin in male rats. | 6 |
| 12 | 13 | |
| 13 | 19 | |
| 14 | The association of monoamine oxidase B functional polymorphism with postoperative pain intensity. | 13 |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 24 | |
| 19 | 18 | |
| 20 | 1 |
About Věra Klenerová
Věra Klenerová is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Social Psychology, having authored 46 papers that have together received 584 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (21 papers), Neuroendocrine regulation and behavior (19 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Behavioral Neuroscience (219 citations), Endocrine and Autonomic Systems (100 citations) and Biological Psychiatry (33 citations). Věra Klenerová has collaborated with scholars based in Czechia, Slovakia and Spain. Frequent co-authors include S. Hynie, Z Hliňák, Ivan Krejčı́, Jana Jur̀čovičová, Takashi Moroji, Hiroshi Yamamoto, Narudo Kawai, Toshiyuki Yamamoto, Antonio Armario and I. Albrecht. Their work appears in journals such as Journal of Neuroscience, Brain Research and Annals of the New York Academy of Sciences.
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.