Д. Л. Сонин

796 total citations
39 papers, 481 citations indexed

About

Д. Л. Сонин is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Д. Л. Сонин has authored 39 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 10 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Д. Л. Сонин's work include Nanoparticle-Based Drug Delivery (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Adenosine and Purinergic Signaling (5 papers). Д. Л. Сонин is often cited by papers focused on Nanoparticle-Based Drug Delivery (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Adenosine and Purinergic Signaling (5 papers). Д. Л. Сонин collaborates with scholars based in Russia, United States and Czechia. Д. Л. Сонин's co-authors include М. М. Галагудза, Bruce T. Liang, Kenneth A. Jacobson, Yury А. Skorik, В. Н. Постнов, Leanne Harmann, Д. В. Королев, Jennifer L. Strande, Chunxia Cronin and Tetsuro Wakatsuki and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Д. Л. Сонин

31 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Д. Л. Сонин Russia 14 147 96 95 85 58 39 481
Jacobo Elíes United Kingdom 15 349 2.4× 69 0.7× 46 0.5× 67 0.8× 63 1.1× 34 659
Bo Fan China 18 351 2.4× 65 0.7× 128 1.3× 169 2.0× 212 3.7× 36 806
Qiulan Lv China 16 372 2.5× 64 0.7× 92 1.0× 30 0.4× 47 0.8× 30 903
Matthew Skinner United Kingdom 15 179 1.2× 226 2.4× 16 0.2× 56 0.7× 68 1.2× 28 556
Parmeshwar B. Katare India 12 240 1.6× 79 0.8× 19 0.2× 62 0.7× 39 0.7× 19 529
Yanhua Tang China 14 301 2.0× 150 1.6× 13 0.1× 58 0.7× 63 1.1× 47 777
Junduo Wu China 19 472 3.2× 121 1.3× 27 0.3× 65 0.8× 220 3.8× 38 1.0k
Hua Bai China 10 195 1.3× 53 0.6× 16 0.2× 47 0.6× 25 0.4× 26 440

Countries citing papers authored by Д. Л. Сонин

Since Specialization
Citations

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

Fields of papers citing papers by Д. Л. Сонин

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Д. Л. Сонин. 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 Д. Л. Сонин. The network helps show where Д. Л. Сонин may publish in the future.

Co-authorship network of co-authors of Д. Л. Сонин

This figure shows the co-authorship network connecting the top 25 collaborators of Д. Л. Сонин. A scholar is included among the top collaborators of Д. Л. Сонин 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 Д. Л. Сонин. Д. Л. Сонин 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.
Сонин, Д. Л., et al.. (2024). Effect of intestinal microbiota on myocardial resistance to ischemia-reperfusion injury. Siberian Journal of Clinical and Experimental Medicine. 38(4). 86–96. 1 indexed citations
2.
Сонин, Д. Л., et al.. (2024). Advanced technique of myocardial no-reflow quantification using indocyanine green. Biomedical Optics Express. 15(2). 818–818. 1 indexed citations
3.
4.
Сонин, Д. Л., et al.. (2023). Influence of Interleukin-2 and Brain-Derived Neurotrophic Factor (BDNF) on the Size of Myocardial Infarction in Rats with Systemic Inflammatory Response. Bulletin of Experimental Biology and Medicine. 175(2). 219–224. 1 indexed citations
5.
Сонин, Д. Л., et al.. (2023). The role of intestinal microbiota in the development of arterial hypertension: mechanisms and therapeutic targets. Arterial’naya Gipertenziya (Arterial Hypertension). 30(2). 159–173.
6.
Сонин, Д. Л., et al.. (2022). The Effect of Probiotic Strains on Myocardial Infarction Size, Biochemical and Immunological Parameters in Rats with Systemic Inflammatory Response Syndrome and Polymorbidity. Journal of Evolutionary Biochemistry and Physiology. 58(6). 2058–2069. 4 indexed citations
7.
Сонин, Д. Л., et al.. (2021). Anatomical Model of Rat Ventricles to Study Cardiac Arrhythmias under Infarction Injury. Mathematics. 9(20). 2604–2604. 1 indexed citations
8.
Сонин, Д. Л., А. Е. Неймарк, Yu. V. Cheburkin, et al.. (2021). Effect of sleeve gastrectomy, Roux-en-Y gastric bypass, and ileal transposition on myocardial ischaemia–reperfusion injury in non-obese non-diabetic rats. Scientific Reports. 11(1). 23888–23888. 1 indexed citations
9.
Сонин, Д. Л., G. V. Papayan, Yu. V. Cheburkin, et al.. (2021). Effects of three types of bariatric interventions on myocardial infarct size and vascular function in rats with type 2 diabetes mellitus. Life Sciences. 279. 119676–119676. 1 indexed citations
10.
Сонин, Д. Л., et al.. (2019). Effects of Bariatric Surgeries on the Size of Myocardial Infarction and Ghrelin Level in Rats with Experimental Decompensated Type 2 Diabetes Mellitus. Bulletin of Experimental Biology and Medicine. 168(2). 210–213. 6 indexed citations
11.
Skorik, Yury А., et al.. (2017). EVALUATION OF CHITOSAN NANOPARTICLES BIODISTRIBUTION USING GROCOTT METHENAMINE SILVER STAINING. zvestiya of the National Academy of Sciences of Belarus (National Academy of Sciences of Belarus). 4(1). 63–69.
12.
Skorik, Yury А., et al.. (2017). Synthesis of N-succinyl- and N-glutaryl-chitosan derivatives and their antioxidant, antiplatelet, and anticoagulant activity. Carbohydrate Polymers. 166. 166–172. 52 indexed citations
13.
Skorik, Yury А., et al.. (2017). Conjugation of Succinate to Chitosan Increases the Cochlear Cytoprotective Effect. Pharmaceutical Chemistry Journal. 50(11). 711–714. 6 indexed citations
14.
Сонин, Д. Л., et al.. (2016). In vivo visualization and ex vivo quantification of experimental myocardial infarction by indocyanine green fluorescence imaging. Biomedical Optics Express. 8(1). 151–151. 13 indexed citations
15.
Сонин, Д. Л., et al.. (2015). Silicon-containing nanocarriers for targeted drug delivery: synthesis, physicochemical properties and acute toxicity. Drug Delivery. 23(5). 1747–1756. 14 indexed citations
16.
Галагудза, М. М., Д. В. Королев, Д. Л. Сонин, et al.. (2011). Passive and Active Target Delivery of Drugs to Ischemic Myocardium. Bulletin of Experimental Biology and Medicine. 152(1). 105–107. 7 indexed citations
17.
Montrose, David C., Krishna Kadaveru, Jillian N.M. Ilsley, et al.. (2010). cPLA2 Is Protective Against COX Inhibitor–Induced Intestinal Damage. Toxicological Sciences. 117(1). 122–132. 16 indexed citations
18.
Сонин, Д. Л., Siyuan Zhou, Chunxia Cronin, et al.. (2008). Role of P2X purinergic receptors in the rescue of ischemic heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 295(3). H1191–H1197. 33 indexed citations
19.
Shen, Jianbing, Chunxia Cronin, Д. Л. Сонин, et al.. (2006). P2X purinergic receptor-mediated ionic current in cardiac myocytes of calsequestrin model of cardiomyopathy: implications for the treatment of heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 292(2). H1077–H1084. 29 indexed citations
20.
Сонин, Д. Л., et al.. (2004). A beneficial role of cardiac P2X4 receptors in heart failure: rescue of the calsequestrin overexpression model of cardiomyopathy. American Journal of Physiology-Heart and Circulatory Physiology. 287(3). H1096–H1103. 40 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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