Dmitri Sviridov

6.9k total citations
209 papers, 5.6k citations indexed

About

Dmitri Sviridov is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Materials Chemistry. According to data from OpenAlex, Dmitri Sviridov has authored 209 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Surgery, 46 papers in Endocrinology, Diabetes and Metabolism and 45 papers in Materials Chemistry. Recurrent topics in Dmitri Sviridov's work include Cholesterol and Lipid Metabolism (46 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers) and Lipoproteins and Cardiovascular Health (36 papers). Dmitri Sviridov is often cited by papers focused on Cholesterol and Lipid Metabolism (46 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (37 papers) and Lipoproteins and Cardiovascular Health (36 papers). Dmitri Sviridov collaborates with scholars based in Belarus, Australia and Russia. Dmitri Sviridov's co-authors include Dmitry G. Shchukin, Paul J. Nestel, Nigora Mukhamedova, Anh Hoang, Noel Fidge, Ekaterina V. Skorb, Helmuth Möhwald, Michael Bukrinsky, Anthony M. Dart and Bronwyn A. Kingwell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Dmitri Sviridov

189 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitri Sviridov Belarus 42 2.1k 1.6k 1.2k 726 628 209 5.6k
Hiroshi Fujita Japan 37 1.6k 0.7× 276 0.2× 1.2k 1.1× 337 0.5× 257 0.4× 263 5.0k
Hiroaki Maeda Japan 47 408 0.2× 219 0.1× 1.2k 1.1× 1.2k 1.6× 151 0.2× 211 6.8k
G. H. Rao United States 42 523 0.2× 423 0.3× 952 0.8× 674 0.9× 167 0.3× 332 6.7k
Elena Bonanno Italy 39 714 0.3× 158 0.1× 1.7k 1.5× 237 0.3× 907 1.4× 156 5.2k
Jason L. Johnson United Kingdom 46 1.5k 0.7× 151 0.1× 2.5k 2.1× 715 1.0× 1.7k 2.8× 163 7.5k
Fabio Corsi Italy 38 669 0.3× 80 0.0× 1.6k 1.4× 428 0.6× 509 0.8× 178 4.3k
Yao‐Chang Chen Taiwan 42 565 0.3× 296 0.2× 2.5k 2.2× 910 1.3× 352 0.6× 219 7.6k
Francesco M. Veronese Italy 45 446 0.2× 188 0.1× 5.0k 4.4× 972 1.3× 299 0.5× 168 10.9k
Paul A. Cahill United States 49 948 0.4× 187 0.1× 2.1k 1.9× 765 1.1× 626 1.0× 203 7.2k
Jens Pietzsch Germany 41 747 0.4× 516 0.3× 1.8k 1.6× 239 0.3× 586 0.9× 296 6.1k

Countries citing papers authored by Dmitri Sviridov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitri Sviridov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitri Sviridov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitri Sviridov. A scholar is included among the top collaborators of Dmitri Sviridov 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 Dmitri Sviridov. Dmitri Sviridov 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.
Кокорин, А. И., et al.. (2024). Catalytic activity of MoO3:V2O5 mixed oxides towards oxidation reactions: the nature of catalytic centers. Mendeleev Communications. 34(5). 715–717. 1 indexed citations
2.
Sviridov, Dmitri, et al.. (2024). A Study of the Elemental Profiles of Wines from the North-Eastern Coast of the Black Sea. Separations. 11(5). 148–148. 1 indexed citations
3.
Sviridov, Dmitri, et al.. (2024). Features of the elemental profile of honey of various botanic origins. Food processing industry. 77–80.
4.
Sviridov, Dmitri, et al.. (2023). Isotope Mass Spectrometry as a Tool for Identifying Organic Tomatoes (Solanum lycopersicum L.). SHILAP Revista de lepidopterología. 612–620. 1 indexed citations
5.
Sviridov, Dmitri, et al.. (2023). The Phenolic Compounds’ Role in Beer from Various Adjuncts. Molecules. 28(5). 2295–2295. 5 indexed citations
6.
Sviridov, Dmitri, et al.. (2023). Individual integrated approach to honey identification using instrumental methods of analysis and statistical processing of results. SHILAP Revista de lepidopterología. 6(2). 211–223.
7.
Sviridov, Dmitri, et al.. (2023). Authentication of vegetable oils using isotope mass spectrometry. SHILAP Revista de lepidopterología. 5(4). 369–375.
8.
Sviridov, Dmitri, et al.. (2023). Isotopic characteristics of Crimean collection wines. SHILAP Revista de lepidopterología. 6(3). 431–436. 1 indexed citations
9.
Sviridov, Dmitri, et al.. (2023). Using the isotope mass spectrometry method to detect the presence of exogenous sugars in honey. Food processing industry. 105–113.
10.
Sviridov, Dmitri, et al.. (2022). USING MODERN INSTRUMENTAL METHODS FOR COFFEE IDENTIFICATION. SHILAP Revista de lepidopterología. 5(1). 30–40. 1 indexed citations
11.
Sviridov, Dmitri, et al.. (2022). New types of sugar-containing raw materials for food production. SHILAP Revista de lepidopterología. 5(2). 145–156. 2 indexed citations
12.
Sviridov, Dmitri, et al.. (2019). ISOTOPE MASS SPECTROMETRY APPLICATION FOR THE ABIOGENIC ALCOHOLS DETECTION IN GRAPE WINES. NEWS of National Academy of Sciences of the Republic of Kazakhstan. 3(435). 53–59. 2 indexed citations
13.
Fu, Yi, Xiao‐Lei Moore, Man K.S. Lee, et al.. (2012). Caveolin-1 Plays a Critical Role in the Differentiation of Monocytes into Macrophages. Arteriosclerosis Thrombosis and Vascular Biology. 32(9). e117–25. 55 indexed citations
14.
Sethi, Amar A, John A. Stonik, Thomas Fairwell, et al.. (2008). Asymmetry in the Lipid Affinity of Bihelical Amphipathic Peptides. Journal of Biological Chemistry. 283(47). 32273–32282. 77 indexed citations
15.
Mukhamedova, Nigora, Ying Fu, Michael Bukrinsky, Alan T. Remaley, & Dmitri Sviridov. (2007). The Role of Different Regions of ATP-Binding Cassette Transporter A1 in Cholesterol Efflux. Biochemistry. 46(33). 9388–9398. 21 indexed citations
16.
Shchukin, Dmitry G., Elena Stepanovna Ustinovich, Dmitri Sviridov, & А. И. Кулак. (2004). Titanium and Iron Oxide-Based Magnetic Photocatalysts for Oxidation of Organic Compounds and Sulfur Dioxide. High Energy Chemistry. 38(3). 167–173. 14 indexed citations
17.
Sviridov, Dmitri, Bronwyn A. Kingwell, Anh Hoang, Anthony M. Dart, & Paul Nestel. (2003). Single session exercise stimulates formation of preβ1-HDL in leg muscle. Journal of Lipid Research. 44(3). 522–526. 23 indexed citations
18.
Shchukin, Dmitry G., А. И. Кулак, & Dmitri Sviridov. (2002). Magnetic photocatalysts of the core-shell type. Photochemical & Photobiological Sciences. 1(10). 742–744. 28 indexed citations
19.
Sviridov, Dmitri. (2002). Chemical Aspects of Implantation of High‐Energy Ions into Polymeric Materials. ChemInform. 33(39). 292–292. 2 indexed citations
20.
Sviridov, Dmitri, et al.. (2001). Apolipoprotein A-I stimulates the transport of intracellular cholesterol to cell-surface cholesterol-rich domains (caveolae). Biochemical Journal. 358(1). 79–86. 29 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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