Kinga Kłak

535 citations
9 papers · 457 · h-index 9

Impact in

Papers in

Kinga Kłak

9 papers receiving 452 citations

Peers

Kinga Kłak
Comparison fields: 5 of 49
  • Biological Psychiatry 110
  • Cellular and Molecular Neuroscience 389
  • Behavioral Neuroscience 30
  • Pharmacology 101
  • Developmental Neuroscience 24
Replace Monika Vrajová with:
Monika Vrajová Czechia
Aric Madayag United States
Giuseppe Giannotti Italy
О. А. Драволина Russia
Francesca Mottarlini Italy
M. H. Selina Mok United Kingdom
Rebecca E. Horton United States
Caitlin McOmish Australia
Bruce Ladenheim United States
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Kinga Kłak relative to Monika Vrajová Czechia Monika Vrajová's profile →
Citations per field
00.5×1.7×
Monika Vrajová · 1×
Citations per year

Countries citing papers authored by Kinga Kłak

Since Specialization
Citations

This map shows the geographic impact of Kinga Kłak'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 Kinga Kłak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinga Kłak more than expected).

Fields of papers citing papers by Kinga Kłak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kinga Kłak. 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 Kinga Kłak. The network helps show where Kinga Kłak may publish in the future.

Co-authors

The 14 scholars most cited alongside Kinga Kłak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kinga Kłak Line = papers co-authored together Kinga Kłak links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007123
2 2005118
3 200860
4 200443
5
Anxiolytic-like effects of group III mGlu receptor ligands in the hippocampus involve GABAA signaling.
200730
6 200327
7 200726
8
Lack of the antianxiety-like effect of (S)-3,4-DCPG, an mGlu8 receptor agonist, after central administration in rats.
200622
9
Chronic imipramine treatment reduces inhibitory properties of group II mGlu receptors without affecting their density or affinity.
20088

About Kinga Kłak

Kinga Kłak is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Pharmacology and Biological Psychiatry, having authored 9 papers that have together received 457 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Memory and Neural Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Treatment of Major Depression (2 papers), Neuropeptides and Animal Physiology (2 papers), Tryptophan and brain disorders (2 papers), Ion channel regulation and function (1 paper) and Anesthesia and Neurotoxicity Research (1 paper). The work is most often cited by research in Biological Psychiatry (110 citations), Cellular and Molecular Neuroscience (389 citations), Behavioral Neuroscience (30 citations), Pharmacology (101 citations) and Developmental Neuroscience (24 citations). Kinga Kłak has collaborated with scholars based in Poland, Switzerland and Czechia. Frequent co-authors include Andrzej Pilc, Piotr Brański, Agnieszka Pałucha-Poniewiera, Katarzyna Stachowicz, Herman van der Putten, Peter J. Flor, Joanna M. Wierońska, E Chojnacka-Wójcik, Bernadeta Szewczyk and Zuzanna Setkowicz. Their work appears in journals such as Brain Research, Pharmacology Biochemistry and Behavior, European Journal of Pharmacology, Psychopharmacology and Behavioural Pharmacology.

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.

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