Violetta Klimek
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Behavioral Neuroscience top 0.5%
- Pharmacology top 2%
- Biological Psychiatry top 0.5%
- Co-authors
- Gregory A. OrdwayCraig A. StockmeierE. MogilnickaPaul WillnerMariusz PappMogens Brøndsted NielsenGinny DilleyJames C. Overholser
- Topics
- Neurotransmitter Receptor Influence on Behavior (32 papers)Neuroscience and Neuropharmacology Research (27 papers)Receptor Mechanisms and Signaling (24 papers)
- Partner nations
- PolandUnited StatesDenmark
In The Last Decade
Violetta Klimek
56 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 1.8k
- Molecular Biology 889
- Behavioral Neuroscience 621
- Pharmacology 444
- Biological Psychiatry 444
Countries citing papers authored by Violetta Klimek
This map shows the geographic impact of Violetta Klimek'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 Violetta Klimek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Violetta Klimek more than expected).
Fields of papers citing papers by Violetta Klimek
This network shows the impact of papers produced by Violetta Klimek. 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 Violetta Klimek. The network helps show where Violetta Klimek may publish in the future.
Co-authorship network of co-authors of Violetta Klimek
This figure shows the co-authorship network connecting the top 25 collaborators of Violetta Klimek. A scholar is included among the top collaborators of Violetta Klimek 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 Violetta Klimek. Violetta Klimek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 28 | |
| 3 | 113 | |
| 4 | 105 | |
| 5 | 48 | |
| 6 | 17 | |
| 7 | 22 | |
| 8 | 29 | |
| 9 | 60 | |
| 10 | 41 | |
| 11 | 12 | |
| 12 | 166 | |
| 13 | Effects of repeated treatment with fluoxetine and citalopram, 5-HT uptake inhibitors, on 5-HT1A and 5-HT2 receptors in the rat brain. | 81 |
| 14 | Changes in the rat brain 5-HT1A and 5-HT2 receptors after chronic administration of levoprotiline, (+)-oxaprotiline and other antidepressant drugs. | 4 |
| 15 | 84 | |
| 16 | 16 | |
| 17 | 5 | |
| 18 | 13 | |
| 19 | 111 | |
| 20 | 59 |
About Violetta Klimek
Violetta Klimek is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 57 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (32 papers), Neuroscience and Neuropharmacology Research (27 papers) and Receptor Mechanisms and Signaling (24 papers). The work is most often cited by research in Biological Psychiatry (444 citations), Behavioral Neuroscience (621 citations) and Cellular and Molecular Neuroscience (1.8k citations). Violetta Klimek has collaborated with scholars based in Poland, United States and Denmark. Frequent co-authors include Gregory A. Ordway, Craig A. Stockmeier, E. Mogilnicka, Paul Willner, Mariusz Papp, Mogens Brøndsted Nielsen, Ginny Dilley, James C. Overholser, Joanna Maj and Jerzy Maj. Their work appears in journals such as Journal of Neuroscience, Biological Psychiatry and Brain 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.