Marika Heblinski

442 total citations
10 papers, 359 citations indexed

About

Marika Heblinski is a scholar working on Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marika Heblinski has authored 10 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marika Heblinski's work include Cannabis and Cannabinoid Research (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (2 papers). Marika Heblinski is often cited by papers focused on Cannabis and Cannabinoid Research (6 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (2 papers). Marika Heblinski collaborates with scholars based in Australia, United States and Russia. Marika Heblinski's co-authors include Iain S. McGregor, Jonathon C. Arnold, Mark Connor, Mary Chebib, Nathan L. Absalom, James R. Krycer, Devin Wahl, David Raubenheimer, Fleur Ponton and Aisling C. McMahon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cell Metabolism and British Journal of Pharmacology.

In The Last Decade

Marika Heblinski

10 papers receiving 357 citations

Peers

Marika Heblinski
Aiju Liu China
Mohamed Mahgoub United Arab Emirates
Justin LaVigne United States
Shihao Xu China
Marika Heblinski
Citations per year, relative to Marika Heblinski Marika Heblinski (= 1×) peers Hiroyuki Ohshiro

Countries citing papers authored by Marika Heblinski

Since Specialization
Citations

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

Fields of papers citing papers by Marika Heblinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marika Heblinski

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

All Works

10 of 10 papers shown
1.
Bladen, Chris, Marika Heblinski, Jia Lin Luo, et al.. (2022). The anticonvulsant phytocannabinoids CBGVA and CBDVA inhibit recombinant T-type channels. Frontiers in Pharmacology. 13. 1048259–1048259. 4 indexed citations
2.
Anderson, Lyndsey L., et al.. (2022). Olivetolic acid, a cannabinoid precursor in Cannabis sativa, but not CBGA methyl ester exhibits a modest anticonvulsant effect in a mouse model of Dravet syndrome. SHILAP Revista de lepidopterología. 4(1). 2–2. 9 indexed citations
3.
Anderson, Lyndsey L., Marika Heblinski, Nathan L. Absalom, et al.. (2021). Cannabigerolic acid, a major biosynthetic precursor molecule in cannabis, exhibits divergent effects on seizures in mouse models of epilepsy. British Journal of Pharmacology. 178(24). 4826–4841. 48 indexed citations
4.
Martin, Lewis, Elizabeth A. Cairns, Marika Heblinski, et al.. (2021). Cannabichromene and Δ9-Tetrahydrocannabinolic Acid Identified as Lactate Dehydrogenase-A Inhibitors by in Silico and in Vitro Screening. Journal of Natural Products. 84(5). 1469–1477. 7 indexed citations
5.
Heblinski, Marika, Marina Santiago, Jordyn Stuart, et al.. (2020). Terpenoids Commonly Found in Cannabis sativa Do Not Modulate the Actions of Phytocannabinoids or Endocannabinoids on TRPA1 and TRPV1 Channels. Cannabis and Cannabinoid Research. 5(4). 305–317. 47 indexed citations
6.
Heblinski, Marika, Chris Bladen, & Mark Connor. (2018). Regulation of heterologously expressed 5‐HT1B receptors coupling to potassium channels in AtT‐20 cells. British Journal of Pharmacology. 176(3). 451–465. 3 indexed citations
7.
Solon‐Biet, Samantha M., Victoria C. Cogger, Tamara Pulpitel, et al.. (2016). Defining the Nutritional and Metabolic Context of FGF21 Using the Geometric Framework. Cell Metabolism. 24(4). 555–565. 166 indexed citations
8.
Gilmore, Andrew, et al.. (2012). Inhibition of human recombinant T‐type calcium channels byN‐arachidonoyl 5‐HT. British Journal of Pharmacology. 167(5). 1076–1088. 15 indexed citations
9.
Yow, Tin T., Nathan L. Absalom, Marika Heblinski, et al.. (2011). Naringin directly activates inwardly rectifying potassium channels at an overlapping binding site to tertiapin‐Q. British Journal of Pharmacology. 163(5). 1017–1033. 51 indexed citations
10.
Sreenivasan, Varun K. A., Oleg A. Stremovskiy, Timothy A. Kelf, et al.. (2011). Pharmacological Characterization of a Recombinant, Fluorescent Somatostatin Receptor Agonist. Bioconjugate Chemistry. 22(9). 1768–1775. 9 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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