Vladimir S. Shavva

703 total citations
33 papers, 480 citations indexed

About

Vladimir S. Shavva is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Vladimir S. Shavva has authored 33 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Surgery and 8 papers in Cancer Research. Recurrent topics in Vladimir S. Shavva's work include Peroxisome Proliferator-Activated Receptors (13 papers), Cholesterol and Lipid Metabolism (10 papers) and Cancer, Lipids, and Metabolism (8 papers). Vladimir S. Shavva is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (13 papers), Cholesterol and Lipid Metabolism (10 papers) and Cancer, Lipids, and Metabolism (8 papers). Vladimir S. Shavva collaborates with scholars based in Russia, United States and Sweden. Vladimir S. Shavva's co-authors include Sergey Orlov, Dizhe Eb, Perevozchikov Ap, Denis A. Mogilenko, Peder S. Olofsson, Stephen Malin, Laura Tarnawski, Andrey S. Trulioff, April S. Caravaca and A. Zhakhov 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

Vladimir S. Shavva

31 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir S. Shavva Russia 14 209 127 103 93 93 33 480
Ben He China 11 156 0.7× 83 0.7× 91 0.9× 61 0.7× 94 1.0× 28 465
Lijun Dai China 13 153 0.7× 101 0.8× 95 0.9× 54 0.6× 78 0.8× 30 470
Yuling Tian China 13 168 0.8× 77 0.6× 135 1.3× 72 0.8× 82 0.9× 28 490
Jungsu Kim United States 9 180 0.9× 79 0.6× 99 1.0× 33 0.4× 61 0.7× 12 371
Shinjiro Kodama Japan 10 201 1.0× 174 1.4× 39 0.4× 78 0.8× 109 1.2× 22 529
Kim Bujold Canada 11 255 1.2× 85 0.7× 106 1.0× 65 0.7× 56 0.6× 18 501
Sandra S. Hammer United States 11 246 1.2× 69 0.5× 67 0.7× 54 0.6× 31 0.3× 18 474
Camille Malaval France 6 233 1.1× 167 1.3× 58 0.6× 38 0.4× 69 0.7× 7 483
Gloria Torres Chile 10 406 1.9× 71 0.6× 63 0.6× 67 0.7× 186 2.0× 11 664
Moris Sangineto Italy 12 177 0.8× 49 0.4× 68 0.7× 91 1.0× 218 2.3× 38 574

Countries citing papers authored by Vladimir S. Shavva

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir S. Shavva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir S. Shavva. 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 Vladimir S. Shavva. The network helps show where Vladimir S. Shavva may publish in the future.

Co-authorship network of co-authors of Vladimir S. Shavva

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir S. Shavva. A scholar is included among the top collaborators of Vladimir S. Shavva 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 Vladimir S. Shavva. Vladimir S. Shavva 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.
Shavva, Vladimir S., et al.. (2024). Cholinergic signaling in adipose tissue. Current Opinion in Endocrine and Metabolic Research. 37. 100546–100546. 1 indexed citations
2.
Osman, Ahmed, Vladimir S. Shavva, Laura Tarnawski, et al.. (2024). Statin‐associated regulation of hepatic PNPLA3 in patients without known liver disease. Journal of Internal Medicine. 297(1). 47–59. 2 indexed citations
3.
Caravaca, April S., Qi Guo, Magdalena Leiva, et al.. (2023). Hepatic stellate cell activation markers are regulated by the vagus nerve in systemic inflammation. SHILAP Revista de lepidopterología. 9(1). 6–6. 3 indexed citations
4.
Caravaca, April S., Laura Tarnawski, Vladimir S. Shavva, et al.. (2022). Vagus nerve stimulation promotes resolution of inflammation by a mechanism that involves Alox15 and requires the α7nAChR subunit. Proceedings of the National Academy of Sciences. 119(22). e2023285119–e2023285119. 48 indexed citations
5.
Shavva, Vladimir S., et al.. (2022). Adiponectin Stimulates Apolipoprotein A-1 Gene Expression in HepG2 Cells via AMPK, PPARα, and LXRs Signaling Mechanisms. Biochemistry (Moscow). 87(11). 1252–1259. 6 indexed citations
6.
Shavva, Vladimir S., et al.. (2022). Insulin Downregulates the Expression of ATP-binding Cassette Transporter A-I in Human Hepatoma Cell Line HepG2 in a FOXO1 and LXR Dependent Manner. Cell Biochemistry and Biophysics. 81(1). 151–160. 2 indexed citations
7.
Shavva, Vladimir S., et al.. (2021). Влияние адипонектина на продукцию аполипопротеинов А-1 и Е макрофагами человека. Молекулярная биология. 55(4). 697–704. 1 indexed citations
8.
Eb, Dizhe, et al.. (2021). Mechanisms of the influence of adiponectin on apolipoproteins A-1 and B production by human hepatocytes. Medical academic journal. 21(1). 39–45. 1 indexed citations
9.
Shavva, Vladimir S., et al.. (2020). Effect of the insulin on the apolipoprotein a-i gene expression in human macrophages. Medical academic journal. 20(1). 65–74. 1 indexed citations
10.
Malin, Stephen, Vladimir S. Shavva, Laura Tarnawski, & Peder S. Olofsson. (2020). Functions of acetylcholine-producing lymphocytes in immunobiology. Current Opinion in Neurobiology. 62. 115–121. 23 indexed citations
11.
Shavva, Vladimir S., et al.. (2019). Hypoxia as a Factor Involved in the Regulation of the apoA-1, ABCA1, and Complement C3 Gene Expression in Human Macrophages. Biochemistry (Moscow). 84(5). 529–539. 17 indexed citations
12.
Mogilenko, Denis A., Vladimir S. Shavva, Dizhe Eb, & Sergey Orlov. (2019). Характеристика альтернативных промоторов гена аполипопротеина A-I человека. Молекулярная биология. 53(3). 485–496. 3 indexed citations
13.
14.
Mogilenko, Denis A., et al.. (2019). The Endogenous Apolipoprotein A-I Enhances The Uptake Of Oxidated Low Density Lipoprotein By Macrophages. Atherosclerosis. 287. e103–e103.
15.
16.
Shavva, Vladimir S., et al.. (2018). Insulin downregulates C3 gene expression in human HepG2 cells through activation of PPARγ. European Journal of Cell Biology. 97(3). 204–215. 5 indexed citations
17.
Shavva, Vladimir S., et al.. (2016). PPARγ Represses Apolipoprotein A‐I Gene but Impedes TNFα‐Mediated ApoA‐I Downregulation in HepG2 Cells. Journal of Cellular Biochemistry. 117(9). 2010–2022. 14 indexed citations
18.
Shavva, Vladimir S., et al.. (2016). FOXO1 and LXRα downregulate the apolipoprotein A-I gene expression during hydrogen peroxide-induced oxidative stress in HepG2 cells. Cell Stress and Chaperones. 22(1). 123–134. 14 indexed citations
19.
Orlov, Sergey, et al.. (2010). Transfer of genetic constructions through the transplacental barrier into mice embryos. Russian Journal of Developmental Biology. 41(2). 71–76. 4 indexed citations
20.
Mogilenko, Denis A., Vladimir S. Shavva, Dizhe Eb, Sergey Orlov, & Perevozchikov Ap. (2010). PPARγ activates ABCA1 gene transcription but reduces the level of ABCA1 protein in HepG2 cells. Biochemical and Biophysical Research Communications. 402(3). 477–482. 34 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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