Liana Asatryan

2.0k total citations
55 papers, 1.5k citations indexed

About

Liana Asatryan is a scholar working on Molecular Biology, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Liana Asatryan has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Physiology and 15 papers in Endocrine and Autonomic Systems. Recurrent topics in Liana Asatryan's work include Adenosine and Purinergic Signaling (19 papers), Neuroscience of respiration and sleep (15 papers) and Receptor Mechanisms and Signaling (7 papers). Liana Asatryan is often cited by papers focused on Adenosine and Purinergic Signaling (19 papers), Neuroscience of respiration and sleep (15 papers) and Receptor Mechanisms and Signaling (7 papers). Liana Asatryan collaborates with scholars based in United States, Austria and United Kingdom. Liana Asatryan's co-authors include Daryl L. Davies, Alex Sevanian, Ouliana Ziouzenkova, Ronald L. Alkana, Sheraz Khoja, James R. Trudell, Juliana Hwang, Jorge Plutzky, Michael W. Jakowec and Daniel J. Rader and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Liana Asatryan

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liana Asatryan United States 25 571 390 187 184 165 55 1.5k
Shaun McNulty United Kingdom 22 761 1.3× 408 1.0× 243 1.3× 387 2.1× 104 0.6× 38 2.1k
David Aguinaga Spain 25 749 1.3× 132 0.3× 151 0.8× 458 2.5× 96 0.6× 42 1.7k
Micheli Mainardi Pillat Brazil 22 455 0.8× 231 0.6× 145 0.8× 162 0.9× 59 0.4× 73 1.6k
Abdelilah Arredouani Qatar 22 801 1.4× 1.2k 3.0× 304 1.6× 164 0.9× 380 2.3× 53 2.4k
Gary B.T. Moore United Kingdom 20 574 1.0× 134 0.3× 413 2.2× 88 0.5× 133 0.8× 21 1.3k
Rodrigo Portes Ureshino Brazil 22 401 0.7× 194 0.5× 250 1.3× 190 1.0× 54 0.3× 44 1.3k
Aron Jurkiewicz Brazil 19 714 1.3× 95 0.2× 291 1.6× 358 1.9× 113 0.7× 122 1.4k
Larissa Daniele Bobermin Brazil 27 728 1.3× 116 0.3× 438 2.3× 311 1.7× 71 0.4× 89 1.9k
Jun Oka Japan 24 508 0.9× 246 0.6× 449 2.4× 44 0.2× 67 0.4× 71 1.7k
F. Libert France 17 415 0.7× 140 0.4× 248 1.3× 406 2.2× 144 0.9× 29 1.6k

Countries citing papers authored by Liana Asatryan

Since Specialization
Citations

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

Fields of papers citing papers by Liana Asatryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liana Asatryan

This figure shows the co-authorship network connecting the top 25 collaborators of Liana Asatryan. A scholar is included among the top collaborators of Liana Asatryan 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 Liana Asatryan. Liana Asatryan 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
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Asatryan, Liana, et al.. (2020). Cross-Talk between P2X and NMDA Receptors. International Journal of Molecular Sciences. 21(19). 7187–7187. 18 indexed citations
4.
Davies, Daryl L., et al.. (2020). Antibiotic-induced disruption of commensal microbiome linked to increases in binge-like ethanol consumption behavior. Brain Research. 1747. 147067–147067. 20 indexed citations
5.
Khoja, Sheraz, Liana Asatryan, Michael W. Jakowec, & Daryl L. Davies. (2019). Dopamine Receptor Blockade Attenuates Purinergic P2X4 Receptor-Mediated Prepulse Inhibition Deficits and Underlying Molecular Mechanisms. Frontiers in Cellular Neuroscience. 13. 331–331. 19 indexed citations
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Asatryan, Liana, et al.. (2017). Ethanol differentially modulates P2X4 and P2X7 receptor activity and function in BV2 microglial cells. Neuropharmacology. 128. 11–21. 39 indexed citations
8.
Khoja, Sheraz, et al.. (2017). Reduced expression of purinergic P2X4 receptors increases voluntary ethanol intake in C57BL/6J mice. Alcohol. 68. 63–70. 14 indexed citations
9.
Finn, Deborah A., Sheraz Khoja, Megan M. Yardley, et al.. (2014). Contribution of P2X4 Receptors to Ethanol Intake in Male C57BL/6 Mice. Neurochemical Research. 39(6). 1127–1139. 38 indexed citations
10.
Asatryan, Liana, et al.. (2014). P2X4 receptors (P2X4Rs) represent a novel target for the development of drugs to prevent and/or treat alcohol use disorders. Frontiers in Neuroscience. 8. 176–176. 43 indexed citations
11.
Trudell, James R., et al.. (2013). Tryptophan 46 is a site for ethanol and ivermectin action in P2X4 receptors. Purinergic Signalling. 9(4). 621–632. 28 indexed citations
12.
Trudell, James R., et al.. (2012). Charge and Geometry of Residues in the Loop 2 β Hairpin Differentially Affect Agonist and Ethanol Sensitivity in Glycine Receptors. Journal of Pharmacology and Experimental Therapeutics. 341(2). 543–551. 16 indexed citations
13.
Ostrovskaya, Olga, et al.. (2011). Ethanol Is a Fast Channel Inhibitor of P2X4 Receptors. Journal of Pharmacology and Experimental Therapeutics. 337(1). 171–179. 31 indexed citations
14.
Trudell, James R., et al.. (2009). Loop 2 Structure in Glycine and GABAA Receptors Plays a Key Role in Determining Ethanol Sensitivity. Journal of Biological Chemistry. 284(40). 27304–27314. 33 indexed citations
15.
Asatryan, Liana, et al.. (2009). A point mutation in the ectodomain‐transmembrane 2 interface eliminates the inhibitory effects of ethanol in P2X4 receptors. Journal of Neurochemistry. 112(1). 307–317. 33 indexed citations
16.
Davies, Daryl L., Liana Asatryan, John J. Woodward, et al.. (2006). Effects of Ethanol on Adenosine 5′‐Triphosphate–Gated Purinergic and 5‐Hydroxytryptamine3Receptors. Alcoholism Clinical and Experimental Research. 30(2). 349–358. 16 indexed citations
17.
Ziouzenkova, Ouliana, Liana Asatryan, Gabriela Orasanu, et al.. (2003). Dual Roles for Lipolysis and Oxidation in Peroxisome Proliferation-Activator Receptor Responses to Electronegative Low Density Lipoprotein. Journal of Biological Chemistry. 278(41). 39874–39881. 52 indexed citations
18.
Ziouzenkova, Ouliana, Liana Asatryan, Ciro Tetta, et al.. (2002). Oxidative stress during ex vivo hemodialysis of blood is decreased by a novel hemolipodialysis procedure utilizing antioxidants. Free Radical Biology and Medicine. 33(2). 248–258. 25 indexed citations
19.
Ziouzenkova, Ouliana, Liana Asatryan, & Alex Sevanian. (1999). Oxidative stress resulting from hemolysis and formation of catalytically active hemoglobin: protective strategies.. PubMed. 37(3). 125–32. 12 indexed citations
20.
Sevanian, Alex, Liana Asatryan, & Ouliana Ziouzenkova. (1999). Low Density Lipoprotein (LDL) Modification: Basic Concepts and Relationship to Atherosclerosis. Blood Purification. 17(2-3). 66–78. 39 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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