Е. А. Сотникова

419 total citations
40 papers, 144 citations indexed

About

Е. А. Сотникова is a scholar working on Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Е. А. Сотникова has authored 40 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 13 papers in Molecular Biology and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Е. А. Сотникова's work include Genetic Associations and Epidemiology (12 papers), Lipoproteins and Cardiovascular Health (8 papers) and Nutrition, Genetics, and Disease (7 papers). Е. А. Сотникова is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Lipoproteins and Cardiovascular Health (8 papers) and Nutrition, Genetics, and Disease (7 papers). Е. А. Сотникова collaborates with scholars based in Russia, Tajikistan and United States. Е. А. Сотникова's co-authors include А. В. Киселева, А. Н. Мешков, А. И. Ершова, Oxana M. Drapkina, М.Г. Дивашук, Anastasia A. Zharikova, S. А. Shalnova, M. S. Pokrovskaya, И. А. Ефимова and Vasily Ramensky and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Е. А. Сотникова

26 papers receiving 124 citations

Peers

Е. А. Сотникова

GENET

CCM

SURGE

Hanna Julienne France

Lixuan Gui China

Haibo Zhu China

Lusine Khachatryan Russia

Stephanie Harris United States

Haifa Jmel Tunisia

Kathrin Thiem Netherlands

Peter Donnelly United Kingdom

Matthew Dapas United States

Hanna Julienne France

Е. А. Сотникова

74 ×1.5

GENET

200 ×5.0

12 ×0.3

CCM

19 ×0.8

7 ×0.3

SURGE

Citations per year, relative to Е. А. Сотникова Е. А. Сотникова (= 1×) peers Hanna Julienne

Countries citing papers authored by Е. А. Сотникова

Since Specialization

Citations

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

Fields of papers citing papers by Е. А. Сотникова

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. А. Сотникова. 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 Е. А. Сотникова. The network helps show where Е. А. Сотникова may publish in the future.

Co-authorship network of co-authors of Е. А. Сотникова

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

All Works

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20 of 20 papers shown

Сотникова, Е. А., А. В. Киселева, & А. Н. Мешков. (2024). Effect of plasma and serum storage conditions on circulating microRNA levels. CARDIOVASCULAR THERAPY AND PREVENTION. 23(11). 4180–4180.

Сотникова, Е. А., А. В. Киселева, & А. Н. Мешков. (2024). Preanalytical factors affecting the plasma and serum levels of circulating microRNAs. CARDIOVASCULAR THERAPY AND PREVENTION. 23(11). 4179–4179.

Ершова, А. И., А. В. Киселева, Е. А. Сотникова, et al.. (2024). Search and replication of associations of genome variants with lipid levels in a Russian sample. CARDIOVASCULAR THERAPY AND PREVENTION. 22(12). 3871–3871. 1 indexed citations

Мешков, А. Н., А. И. Ершова, А. В. Киселева, et al.. (2024). Genetic aspects of decreased low-density lipoprotein cholesterol values. CARDIOVASCULAR THERAPY AND PREVENTION. 22(12). 3846–3846.

Киселева, А. В., Е. А. Сотникова, В. А. Куценко, et al.. (2024). Association of plasma microRNA levels with different collateral circulation degree in chronic total occlusion patients with coronary artery disease: a pilot study. CARDIOVASCULAR THERAPY AND PREVENTION. 23(7). 4086–4086. 3 indexed citations

Ершова, А. И., А. В. Киселева, Е. А. Сотникова, et al.. (2024). Spectrum and Prevalence of Rare APOE Variants and Their Association with Familial Dysbetalipoproteinemia. International Journal of Molecular Sciences. 25(23). 12651–12651. 2 indexed citations

Ершова, А. И., М. С. Харлап, А. В. Киселева, et al.. (2024). The Yield of Genetic Testing and Putative Genetic Factors of Disease Heterogeneity in Long QT Syndrome Patients. International Journal of Molecular Sciences. 25(22). 11976–11976. 1 indexed citations

Киселева, А. В., В. А. Куценко, Е. А. Сотникова, et al.. (2023). Validation of genetic risk scores for obesity on a sample of the population of Russian regions. CARDIOVASCULAR THERAPY AND PREVENTION. 22(10). 3755–3755. 2 indexed citations

Киселева, А. В., В. А. Куценко, Е. А. Сотникова, et al.. (2023). Validation of genetic risk scores for type 2 diabetes on a Russian population sample from the biobank of the National Medical Research Center for Therapy and Preventive Medicine. CARDIOVASCULAR THERAPY AND PREVENTION. 22(11). 3746–3746. 1 indexed citations

10.

Киселева, А. В., R. P. Myasnikov, А. Н. Мешков, et al.. (2023). Nucleotide sequence variant of the TPM1 gene in a family with different phenotypes of left ventricular non-compaction. CARDIOVASCULAR THERAPY AND PREVENTION. 21(12). 3471–3471.

11.

Myasnikov, R. P., А. Н. Мешков, Е. А. Мершина, et al.. (2023). RBM20 nucleotide sequence variant in a family with a dilated phenotype of left ventricular non-compaction. CARDIOVASCULAR THERAPY AND PREVENTION. 21(12). 3470–3470.

12.

Киселева, А. В., et al.. (2023). Клинические проявления и эффективность гиполипидемической терапии у пациентки - двойной гетерозиготы с семейной гиперхолестеринемией. 53–58.

13.

Сотникова, Е. А., et al.. (2023). Comparative Study of Plastomes in Solanum tuberosum with Different Cytoplasm Types. Plants. 12(23). 3995–3995. 1 indexed citations

14.

Киселева, А. В., et al.. (2022). Клинические проявления и эффективность гиполипидемической терапии у пациентки с выраженной гипертриглицеридемией и новыми вероятно-патогенными вариантами в гене LPL:p.[(Asp202Asn)];[(Tyr233Cys)]. 62–67.

15.

Сотникова, Е. А., А. В. Киселева, А. Н. Мешков, et al.. (2022). Biobank data for studying the genetic architecture of osteoporosis and developing genetic risk scores. CARDIOVASCULAR THERAPY AND PREVENTION. 20(8). 3045–3045.

16.

Ершова, А. И., et al.. (2022). From biobanking to personalized prevention of obesity, diabetes and metabolic syndrome. CARDIOVASCULAR THERAPY AND PREVENTION. 20(8). 3123–3123. 2 indexed citations

17.

Brodehl, Andreas, А. В. Киселева, R. P. Myasnikov, et al.. (2021). The Desmin (DES) Mutation p.A337P Is Associated with Left-Ventricular Non-Compaction Cardiomyopathy. Genes. 12(1). 121–121. 24 indexed citations

18.

Киселева, А. В., et al.. (2021). Scales for assessing the genetic risk of developing type 2 diabetes mellitus. Russian Journal of Preventive Medicine. 24(12). 115–115. 1 indexed citations

19.

Киселева, А. В., et al.. (2021). Obesity genetics: current state of the problem. Russian Journal of Preventive Medicine. 24(12). 89–89. 4 indexed citations

20.

Анисимова, И. Н., В. А. Гаврилова, Е. А. Сотникова, et al.. (2019). Association Mapping of Fertility Restorer Gene for CMS PET1 in Sunflower. Agronomy. 9(2). 49–49. 20 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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