Vija Kluša

1.8k total citations
58 papers, 1.5k citations indexed

About

Vija Kluša is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Vija Kluša has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 11 papers in Neurology. Recurrent topics in Vija Kluša's work include Neuroscience and Neuropharmacology Research (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Regulation of Appetite and Obesity (9 papers). Vija Kluša is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Regulation of Appetite and Obesity (9 papers). Vija Kluša collaborates with scholars based in Latvia, Sweden and United States. Vija Kluša's co-authors include Ruta Muceniece, Jolanta Pupure, Juris Rumaks, Baiba Jansone, Vladimirs Piļipenko, S. K. Germane, Г. Дубурс, Šimons Svirskis, Helgi B. Schiöth and Vijay Chhajlani and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Life Sciences.

In The Last Decade

Vija Kluša

56 papers receiving 1.5k citations

Peers

Vija Kluša
Abdulaziz M. Aleisa Saudi Arabia
Igor Rebrin United States
Vı́ctor Tapias United States
D. Sloan Stribling United States
Mark H. Norman United States
Bassem Sadek United Arab Emirates
Seikwan Oh South Korea
Abdulaziz M. Aleisa Saudi Arabia
Vija Kluša
Citations per year, relative to Vija Kluša Vija Kluša (= 1×) peers Abdulaziz M. Aleisa

Countries citing papers authored by Vija Kluša

Since Specialization
Citations

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

Fields of papers citing papers by Vija Kluša

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vija Kluša

This figure shows the co-authorship network connecting the top 25 collaborators of Vija Kluša. A scholar is included among the top collaborators of Vija Kluša 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 Vija Kluša. Vija Kluša is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Piļipenko, Vladimirs, Ines Amara, Angela Trovato Salinaro, et al.. (2019). GABA‐containing compound gammapyrone protects against brain impairments in Alzheimer’s disease model male rats and prevents mitochondrial dysfunction in cell culture. Journal of Neuroscience Research. 97(6). 708–726. 51 indexed citations
2.
Nakurte, Ilva, et al.. (2019). Intra-Nasally Administered Oligopeptide Lunasin Acts as a Possible Anti-Psychotic Agent in Mice Models. Medicina. 55(7). 393–393. 3 indexed citations
3.
Jansone, Baiba, Inga Kadish, Thomas van Groen, et al.. (2016). Memory-enhancing and brain protein expression-stimulating effects of novel calcium antagonist in Alzheimer’s disease transgenic female mice. Pharmacological Research. 113(Pt B). 781–787. 10 indexed citations
4.
Kluša, Vija. (2016). Atypical 1,4-dihydropyridine derivatives, an approach to neuroprotection and memory enhancement. Pharmacological Research. 113(Pt B). 754–759. 21 indexed citations
5.
Jansone, Baiba, Inga Kadish, Thomas van Groen, et al.. (2015). A Novel 1,4-Dihydropyridine Derivative Improves Spatial Learning and Memory and Modifies Brain Protein Expression in Wild Type and Transgenic APPSweDI Mice. PLoS ONE. 10(6). e0127686–e0127686. 10 indexed citations
6.
Hägglund, Maria, Sonchita Bagchi, Victor C. Nilsson, et al.. (2013). Characterization of the transporterB0AT3 (Slc6a17) in the rodent central nervous system. BMC Neuroscience. 14(1). 54–54. 17 indexed citations
7.
Kluša, Vija, Ruta Muceniece, Sergejs Isajevs, et al.. (2013). Mildronate enhances learning/memory and changes hippocampal protein expression in trained rats. Pharmacology Biochemistry and Behavior. 106. 68–76. 13 indexed citations
8.
Pupure, Jolanta, Sergejs Isajevs, Elina Skapare, et al.. (2009). Neuroprotective properties of mildronate, a mitochondria-targeted small molecule. Neuroscience Letters. 470(2). 100–105. 25 indexed citations
9.
Muceniece, Ruta, et al.. (2008). Betulin binds to γ-aminobutyric acid receptors and exerts anticonvulsant action in mice. Pharmacology Biochemistry and Behavior. 90(4). 712–716. 43 indexed citations
10.
Pupure, Jolanta, Sergejs Isajevs, Immanuels Taivāns, et al.. (2008). Distinct Influence of Atypical 1,4‐Dihydropyridine Compounds in Azidothymidine‐Induced Neuro‐ and Cardiotoxicity in Mice Ex Vivo. Basic & Clinical Pharmacology & Toxicology. 103(5). 401–406. 7 indexed citations
11.
Pupure, Jolanta, Maria A.S. Fernandes, Maria S. Santos, et al.. (2008). Mitochondria as the target for mildronate's protective effects in azidothymidine (AZT)‐induced toxicity of isolated rat liver mitochondria. Cell Biochemistry and Function. 26(5). 620–631. 23 indexed citations
12.
Muceniece, Ruta, Juris Rumaks, Jorens Kviesis, et al.. (2008). Potato (Solanum tuberosum) Juice Exerts an Anticonvulsant Effect in Mice through Binding to GABA Receptors. Planta Medica. 74(5). 491–496. 9 indexed citations
13.
Sundberg, Björn, Josefin A. Jacobsson, Olga Stephansson, et al.. (2008). The Evolutionary History and Tissue Mapping of Amino Acid Transporters Belonging to Solute Carrier Families SLC32, SLC36, and SLC38. Journal of Molecular Neuroscience. 35(2). 179–193. 72 indexed citations
14.
Zvejniece, Liga, et al.. (2006). The differential influences of melanocortins on nociception in the formalin and tail flick tests. Pharmacology Biochemistry and Behavior. 85(2). 287–291. 16 indexed citations
15.
Krauze, A., et al.. (2005). 3,4-trans-4-Aryl-3-(1-pyridinio)-1,2,3,4-tetrahydropyridine-6-thiolates—new group of potential cardiotonic drugs. European Journal of Medicinal Chemistry. 40(11). 1163–1167. 23 indexed citations
16.
Jansone, Baiba, Lena Bergström, Šimons Svirskis, et al.. (2004). Opposite effects of γ1- and γ2-melanocyte stimulating hormone on regulation of the dopaminergic mesolimbic system in rats. Neuroscience Letters. 361(1-3). 68–71. 16 indexed citations
17.
Kluša, Vija, S. K. Germane, Michael Nöldner, & S. S. Chatterjee. (2001). Hypericum Extract and Hyperforin: Memory-Enhancing Properties in Rodents. Pharmacopsychiatry. 34(Suppl1). 61–69. 54 indexed citations
18.
Kluša, Vija, S. K. Germane, Šimons Svirskis, & Jarl E. S. Wikberg. (2001). The g2-MSH peptide mediates a central analgesic effect via a GABA-ergic mechanism that is independent from activation of melanocortin receptors. Neuropeptides. 35(1). 50–57. 15 indexed citations
20.
Kluša, Vija, Raul‐Allan Kiivet, Ruta Muceniece, et al.. (1990). Thymopentin antagonizes stress-induced changes of GABA/benzodiazepine receptor complex. Regulatory Peptides. 27(3). 355–365. 8 indexed citations

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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