Filip Vlavcheski

790 total citations
18 papers, 605 citations indexed

About

Filip Vlavcheski is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Filip Vlavcheski has authored 18 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Physiology and 6 papers in Surgery. Recurrent topics in Filip Vlavcheski's work include Metabolism, Diabetes, and Cancer (11 papers), Adipose Tissue and Metabolism (11 papers) and Sirtuins and Resveratrol in Medicine (6 papers). Filip Vlavcheski is often cited by papers focused on Metabolism, Diabetes, and Cancer (11 papers), Adipose Tissue and Metabolism (11 papers) and Sirtuins and Resveratrol in Medicine (6 papers). Filip Vlavcheski collaborates with scholars based in Canada, United States and Japan. Filip Vlavcheski's co-authors include Evangelia Tsiani, Hesham Shamshoum, Danja J. Den Hartogh, Adria Giacca, Rebecca E. K. MacPherson, Tomáš Hudlický, Ioannis Vlachogiannis, Daniel M. Marko, Bradley J. Baranowski and Marina Mourtzakis and has published in prestigious journals such as International Journal of Molecular Sciences, Endocrinology and Molecules.

In The Last Decade

Filip Vlavcheski

18 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filip Vlavcheski Canada 14 242 167 129 128 88 18 605
Eugenia Piragine Italy 20 308 1.3× 162 1.0× 110 0.9× 73 0.6× 49 0.6× 43 864
Elango Bhakkiyalakshmi India 16 478 2.0× 133 0.8× 137 1.1× 223 1.7× 101 1.1× 20 946
Chin-Lin Hsu Taiwan 10 150 0.6× 129 0.8× 119 0.9× 103 0.8× 120 1.4× 11 552
Danja J. Den Hartogh Canada 11 276 1.1× 133 0.8× 105 0.8× 146 1.1× 73 0.8× 11 704
Anuradha A. Shastri United States 6 263 1.1× 247 1.5× 214 1.7× 119 0.9× 168 1.9× 10 835
Natarajan Suganya India 15 251 1.0× 71 0.4× 129 1.0× 150 1.2× 61 0.7× 21 714
Ching‐jang Huang Taiwan 19 348 1.4× 164 1.0× 106 0.8× 337 2.6× 115 1.3× 31 1.0k
Nevena Mihailovic‐Stanojevic Serbia 16 155 0.6× 83 0.5× 165 1.3× 93 0.7× 35 0.4× 51 718
Yukari Akimoto Japan 11 280 1.2× 178 1.1× 242 1.9× 255 2.0× 187 2.1× 11 848
Guanzhong Wu China 10 368 1.5× 76 0.5× 57 0.4× 153 1.2× 84 1.0× 24 745

Countries citing papers authored by Filip Vlavcheski

Since Specialization
Citations

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

Fields of papers citing papers by Filip Vlavcheski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Vlavcheski

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

All Works

18 of 18 papers shown
1.
Oprescu, Andrei I., Filip Vlavcheski, Yusaku Mori, et al.. (2024). β-Cell Insulin Resistance Plays a Causal Role in Fat-Induced β-Cell Dysfunction In Vitro and In Vivo. Endocrinology. 165(5). 4 indexed citations
2.
Vlavcheski, Filip, Rebecca E. K. MacPherson, Val A. Fajardo, Siu Kwan Sze, & Evangelia Tsiani. (2024). Carnosic Acid (CA) Induces a Brown Fat-like Phenotype, Increases Mitochondrial Biogenesis, and Activates AMPK in 3T3-L1 Adipocytes. Biomedicines. 12(7). 1569–1569. 2 indexed citations
3.
Hartogh, Danja J. Den, Filip Vlavcheski, & Evangelia Tsiani. (2023). Muscle Cell Insulin Resistance Is Attenuated by Rosmarinic Acid: Elucidating the Mechanisms Involved. International Journal of Molecular Sciences. 24(6). 5094–5094. 13 indexed citations
4.
Hartogh, Danja J. Den, Filip Vlavcheski, Adria Giacca, Rebecca E. K. MacPherson, & Evangelia Tsiani. (2022). Carnosic Acid Attenuates the Free Fatty Acid-Induced Insulin Resistance in Muscle Cells and Adipocytes. Cells. 11(1). 167–167. 18 indexed citations
5.
Vlavcheski, Filip, et al.. (2022). Effects of Berberine against Pancreatitis and Pancreatic Cancer. Molecules. 27(23). 8630–8630. 25 indexed citations
6.
Pereira, Sandra, Jessy Moore, Husam Ghanim, et al.. (2021). 4-Phenylbutyric acid improves free fatty acid-induced hepatic insulin resistance in vivo. Endocrine Connections. 10(8). 861–872. 5 indexed citations
7.
Shamshoum, Hesham, Filip Vlavcheski, Rebecca E. K. MacPherson, & Evangelia Tsiani. (2021). Rosemary extract activates AMPK, inhibits mTOR and attenuates the high glucose and high insulin-induced muscle cell insulin resistance. Applied Physiology Nutrition and Metabolism. 46(7). 819–827. 18 indexed citations
8.
Marko, Daniel M., et al.. (2020). Interleukin-6 Treatment Results in GLUT4 Translocation and AMPK Phosphorylation in Neuronal SH-SY5Y Cells. Cells. 9(5). 1114–1114. 25 indexed citations
9.
Hartogh, Danja J. Den, Filip Vlavcheski, Adria Giacca, & Evangelia Tsiani. (2020). Attenuation of Free Fatty Acid (FFA)-Induced Skeletal Muscle Cell Insulin Resistance by Resveratrol is Linked to Activation of AMPK and Inhibition of mTOR and p70 S6K. International Journal of Molecular Sciences. 21(14). 4900–4900. 40 indexed citations
10.
Vlavcheski, Filip, Danja J. Den Hartogh, Adria Giacca, & Evangelia Tsiani. (2020). Amelioration of High-Insulin-Induced Skeletal Muscle Cell Insulin Resistance by Resveratrol Is Linked to Activation of AMPK and Restoration of GLUT4 Translocation. Nutrients. 12(4). 914–914. 62 indexed citations
11.
Vlavcheski, Filip, et al.. (2019). Antidiabetic Effects of Hydroxytyrosol: In Vitro and In Vivo Evidence. Antioxidants. 8(6). 188–188. 43 indexed citations
12.
Vlavcheski, Filip, et al.. (2018). Carnosol Increases Skeletal Muscle Cell Glucose Uptake via AMPK-Dependent GLUT4 Glucose Transporter Translocation. International Journal of Molecular Sciences. 19(5). 1321–1321. 53 indexed citations
13.
Vlavcheski, Filip & Evangelia Tsiani. (2018). Attenuation of Free Fatty Acid-Induced Muscle Insulin Resistance by Rosemary Extract. Nutrients. 10(11). 1623–1623. 23 indexed citations
14.
Sebastiano, Katie M. Di, et al.. (2018). Glutamate increases glucose uptake in L6 myotubes in a concentration- and time-dependent manner that is mediated by AMPK. Applied Physiology Nutrition and Metabolism. 43(12). 1307–1313. 8 indexed citations
15.
Shamshoum, Hesham, Filip Vlavcheski, & Evangelia Tsiani. (2017). Anticancer effects of oleuropein. BioFactors. 43(4). 517–528. 87 indexed citations
16.
Vlavcheski, Filip, et al.. (2017). Rosmarinic Acid, a Rosemary Extract Polyphenol, Increases Skeletal Muscle Cell Glucose Uptake and Activates AMPK. Molecules. 22(10). 1669–1669. 62 indexed citations
17.
Vlavcheski, Filip, et al.. (2017). Rosemary Extract as a Potential Anti-Hyperglycemic Agent: Current Evidence and Future Perspectives. Nutrients. 9(9). 968–968. 90 indexed citations
18.
Vlavcheski, Filip, et al.. (2016). Carnosic acid as a component of rosemary extract stimulates skeletal muscle cell glucose uptake via AMPK activation. Clinical and Experimental Pharmacology and Physiology. 44(1). 94–102. 27 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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