Vladislav Bugay

667 total citations · 1 hit paper
14 papers, 533 citations indexed

About

Vladislav Bugay is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vladislav Bugay has authored 14 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vladislav Bugay's work include Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Vladislav Bugay is often cited by papers focused on Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Vladislav Bugay collaborates with scholars based in United States, Japan and China. Vladislav Bugay's co-authors include Robert Brenner, Kunwoo Lee, Niren Murthy, Hye Young Lee, Elena Mironova, James D. Stockand, Deborah Holstein, Mark S. Shapiro, José E Cavazos and James D. Lechleiter and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neurophysiology and Hypertension.

In The Last Decade

Vladislav Bugay

14 papers receiving 528 citations

Hit Papers

Nanoparticle delivery of CRISPR into the brain rescues a ... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nanoparticle delivery of CRISPR into the brain rescues a mouse model of fragile X syndrome from exaggerated repetitive behaviours
    2018 290 citations Kunwoo Lee, Vladislav Bugay et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladislav Bugay United States 9 399 100 76 75 41 14 533
Nadav Yayon Israel 12 378 0.9× 38 0.4× 80 1.1× 22 0.3× 28 0.7× 16 593
Ranmal A. Samarasinghe United States 8 226 0.6× 74 0.7× 101 1.3× 11 0.1× 21 0.5× 9 504
Nicole Créau France 16 397 1.0× 335 3.4× 44 0.6× 34 0.5× 19 0.5× 25 801
Daniele Frattini Italy 13 162 0.4× 138 1.4× 168 2.2× 17 0.2× 74 1.8× 59 464
Yoram Nevo Israel 14 241 0.6× 80 0.8× 90 1.2× 43 0.6× 48 1.2× 31 641
Matthieu Raveau Japan 10 232 0.6× 229 2.3× 93 1.2× 28 0.4× 20 0.5× 13 535
Odmara L. Barreto Chang United States 10 329 0.8× 32 0.3× 175 2.3× 91 1.2× 12 0.3× 24 582
Glòria Arqué Spain 15 245 0.6× 223 2.2× 70 0.9× 14 0.2× 33 0.8× 27 521
Ramine Hosseini United Kingdom 11 268 0.7× 42 0.4× 169 2.2× 88 1.2× 24 0.6× 13 511
Réka Kovács-Nagy Hungary 13 168 0.4× 82 0.8× 37 0.5× 17 0.2× 11 0.3× 22 363

Countries citing papers authored by Vladislav Bugay

Since Specialization
Citations

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

Fields of papers citing papers by Vladislav Bugay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladislav Bugay

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

All Works

14 of 14 papers shown
1.
Belchior, Hindiael, Vladislav Bugay, Deborah Holstein, et al.. (2023). Acute Treatment with the M-Channel (Kv7, KCNQ) Opener Retigabine Reduces the Long-Term Effects of Repetitive Blast Traumatic Brain Injuries. Neurotherapeutics. 20(3). 853–869. 8 indexed citations
2.
Bugay, Vladislav, et al.. (2022). Effects of Sublethal Organophosphate Toxicity and Anti-cholinergics on Electroencephalogram and Respiratory Mechanics in Mice. Frontiers in Neuroscience. 16. 866899–866899. 3 indexed citations
3.
Zhang, Mei, et al.. (2022). Dequalinium chloride is an antagonists of α7 nicotinic acetylcholine receptors. European Journal of Pharmacology. 925. 175000–175000. 4 indexed citations
4.
Bugay, Vladislav, Deborah Holstein, Shane Sprague, et al.. (2021). Neuroprotective Roles of the Adenosine A3 Receptor Agonist AST-004 in Mouse Model of Traumatic Brain Injury. Neurotherapeutics. 18(4). 2707–2721. 16 indexed citations
5.
Bugay, Vladislav, Derek Wallace, Bin Wang, et al.. (2020). Bis-Quinolinium Cyclophane Blockers of SK Potassium Channels Are Antagonists of M3 Muscarinic Acetylcholine Receptors. Frontiers in Pharmacology. 11. 552211–552211. 4 indexed citations
6.
Bugay, Vladislav, et al.. (2020). Mechanisms associated with the antidepressant-like effects of L-655,708. Neuropsychopharmacology. 45(13). 2289–2298. 7 indexed citations
7.
Bugay, Vladislav, Deborah Holstein, José E Cavazos, et al.. (2019). A Mouse Model of Repetitive Blast Traumatic Brain Injury Reveals Post-Trauma Seizures and Increased Neuronal Excitability. Journal of Neurotrauma. 37(2). 248–261. 43 indexed citations
8.
Bugay, Vladislav, Deborah Holstein, Shane Sprague, et al.. (2019). Prevention of brain damage after traumatic brain injury by pharmacological enhancement of KCNQ (Kv7, “M-type”) K+ currents in neurons. Journal of Cerebral Blood Flow & Metabolism. 40(6). 1256–1273. 41 indexed citations
9.
Lee, Kunwoo, et al.. (2018). Nanoparticle delivery of CRISPR into the brain rescues a mouse model of fragile X syndrome from exaggerated repetitive behaviours. Nature Biomedical Engineering. 2(7). 497–507. 290 indexed citations breakdown →
10.
Hu, Zhengping, Manuel A. Riquelme, Bin Wang, et al.. (2018). Cataract-associated connexin 46 mutation alters its interaction with calmodulin and function of hemichannels. Journal of Biological Chemistry. 293(7). 2573–2585. 16 indexed citations
11.
Ramkumar, Nirupama, Deborah Stuart, Elena Mironova, et al.. (2016). Renal tubular epithelial cell prorenin receptor regulates blood pressure and sodium transport. American Journal of Physiology-Renal Physiology. 311(1). F186–F194. 51 indexed citations
12.
13.
Ramkumar, Nirupama, Deborah Stuart, Elena Mironova, et al.. (2015). Abstract 021: Nephron Specific Deletion of the Prorenin Receptor Modulates Blood Pressure and Urinary Na+ Excretion. Hypertension. 66(suppl_1). 1 indexed citations
14.
Mironova, Elena, Vladislav Bugay, Oleh Pochynyuk, Alexander Staruschenko, & James D. Stockand. (2013). Recording Ion Channels in Isolated, Split-Opened Tubules. Methods in molecular biology. 998. 341–353. 21 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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