И. А. Ефимова

402 total citations
27 papers, 134 citations indexed

About

И. А. Ефимова is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, И. А. Ефимова has authored 27 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in И. А. Ефимова's work include Health and Medical Research Impacts (6 papers), Genomics and Rare Diseases (5 papers) and Gut microbiota and health (5 papers). И. А. Ефимова is often cited by papers focused on Health and Medical Research Impacts (6 papers), Genomics and Rare Diseases (5 papers) and Gut microbiota and health (5 papers). И. А. Ефимова collaborates with scholars based in Russia, Tajikistan and Switzerland. И. А. Ефимова's co-authors include M. S. Pokrovskaya, S. А. Shalnova, Oxana M. Drapkina, А. Н. Мешков, А. И. Ершова, А. В. Киселева, V. A. Metelskaya, О. М. Драпкина, М.Г. Дивашук and Anastasia A. Zharikova and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Heart Journal and Frontiers in Genetics.

In The Last Decade

И. А. Ефимова

22 papers receiving 106 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
И. А. Ефимова Russia 7 43 34 32 29 22 27 134
Guillaume Rousseau France 9 28 0.7× 19 0.6× 79 2.5× 25 0.9× 12 0.5× 26 219
Shinsuke Hiramatsu Japan 8 40 0.9× 27 0.8× 24 0.8× 16 0.6× 62 2.8× 25 169
Jaka Šikonja Slovenia 7 24 0.6× 22 0.6× 18 0.6× 19 0.7× 60 2.7× 27 162
Koichi Moriwaki Japan 8 14 0.3× 40 1.2× 24 0.8× 38 1.3× 13 0.6× 23 157
Filippo Alberto Ferrari Italy 8 25 0.6× 20 0.6× 11 0.3× 11 0.4× 46 2.1× 33 197
Kathrin Thöne Germany 8 16 0.4× 14 0.4× 14 0.4× 13 0.4× 15 0.7× 10 136
Urszula Mantaj Poland 9 31 0.7× 14 0.4× 21 0.7× 20 0.7× 47 2.1× 24 185
Gordana Stipančić Croatia 7 98 2.3× 8 0.2× 31 1.0× 19 0.7× 57 2.6× 21 150
Felix Vaura Finland 7 42 1.0× 15 0.4× 23 0.7× 47 1.6× 21 1.0× 14 171
Jiying Wen China 10 17 0.4× 25 0.7× 22 0.7× 21 0.7× 97 4.4× 29 316

Countries citing papers authored by И. А. Ефимова

Since Specialization
Citations

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

Fields of papers citing papers by И. А. Ефимова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of И. А. Ефимова

This figure shows the co-authorship network connecting the top 25 collaborators of И. А. Ефимова. A scholar is included among the top collaborators of И. А. Ефимова 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 И. А. Ефимова. И. А. Ефимова 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.
Драпкина, О. М., et al.. (2024). Human diseases treatment via enema fecal microbiota transplantation. Methodological recommendations. Russian Journal of Preventive Medicine. 27(6). 79–79.
2.
Pokrovskaya, M. S., et al.. (2023). Biobanking in the hospital of a multidisciplinary research medical center as a potential for a wide research range. Part I. Organizational and methodological aspects. CARDIOVASCULAR THERAPY AND PREVENTION. 22(11). 3749–3749. 1 indexed citations
3.
4.
Драпкина, О. М., S. А. Shalnova, А. Э. Имаева, et al.. (2022). Epidemiology of Cardiovascular Diseases in Regions of Russian Federation. Third survey (ESSE-RF-3). Rationale and study design. CARDIOVASCULAR THERAPY AND PREVENTION. 21(5). 3246–3246. 13 indexed citations
5.
Ершова, А. И., M. S. Pokrovskaya, А. Н. Мешков, et al.. (2022). Population-nosological research biobank of the National Medical Research Center for Therapy and Preventive Medicine: analysis of biosamples, principles of collecting and storing information. CARDIOVASCULAR THERAPY AND PREVENTION. 20(8). 3119–3119. 10 indexed citations
6.
Драпкина, О. М., et al.. (2022). The relationship between gut microbiota, chronic systemic inflammation, and endotoxemia in patients with heart failure with preserved ejection fraction. CARDIOVASCULAR THERAPY AND PREVENTION. 21(9). 3315–3315. 1 indexed citations
7.
Сотникова, Е. А., А. В. Киселева, В. А. Куценко, et al.. (2022). Identification of Pathogenic Variant Burden and Selection of Optimal Diagnostic Method Is a Way to Improve Carrier Screening for Autosomal Recessive Diseases. Journal of Personalized Medicine. 12(7). 1132–1132. 6 indexed citations
8.
Ершова, А. И., et al.. (2022). Electronic medical records and biobanking. CARDIOVASCULAR THERAPY AND PREVENTION. 21(11). 3425–3425. 3 indexed citations
9.
10.
Ramensky, Vasily, А. И. Ершова, А. В. Киселева, et al.. (2021). Targeted Sequencing of 242 Clinically Important Genes in the Russian Population From the Ivanovo Region. Frontiers in Genetics. 12. 709419–709419. 20 indexed citations
11.
Pokrovskaya, M. S., V. A. Metelskaya, И. А. Ефимова, et al.. (2021). Role of biobanking in managing large-scale epidemiological studies. SHILAP Revista de lepidopterología. 20(5). 2958–2958. 13 indexed citations
12.
Драпкина, О. М., et al.. (2021). Relationship between gut microbiota and markers of myocardial fibrosis in with chronic heart failure with preserved ejection fraction. SHILAP Revista de lepidopterología. 20(4). 2834–2834. 2 indexed citations
13.
Киселева, А. В., А. И. Ершова, Е. А. Сотникова, et al.. (2021). Carrier frequency of heterozygous phenylketonuria mutations in the population-based cohort study (ESSE-VOLOGDA). 39(2). 38–38. 1 indexed citations
14.
Киселева, А. В., М.Г. Дивашук, А. И. Ершова, et al.. (2020). Cystic Fibrosis Polymorphic Variants in a Russian Population. SHILAP Revista de lepidopterología. 6 indexed citations
15.
Киселева, А. В., Е. А. Сотникова, М.Г. Дивашук, et al.. (2020). <p>Cystic Fibrosis Polymorphic Variants in a Russian Population</p>. Pharmacogenomics and Personalized Medicine. Volume 13. 679–686. 12 indexed citations
16.
Драпкина, О. М., et al.. (2020). The relationship between the key markers of myocardial fibrosis and gut microbiota composition in patients with heart failure and preserved ejection fraction. European Heart Journal. 41(Supplement_2). 3 indexed citations
17.
18.
Davtyan, К. V., et al.. (2020). Relationship between serum inflammatory markers and recurrent atrial fibrillation in patients undergoing pulmonary vein isolation. SHILAP Revista de lepidopterología. 19(5). 2579–2579. 2 indexed citations
19.
Мешков, А. Н., R. P. Myasnikov, А. В. Киселева, et al.. (2019). Pathogenic Variant Rs1471414348of the TTN Gene in the Patient with Familial Left Venticular Noncompaction Cardiomyopathy. SHILAP Revista de lepidopterología. 15(4). 524–529.
20.
Pokrovskaya, M. S., et al.. (2019). Biobanking as a Necessary Tool for Research in the Field Of Personalized Medicine in the Scientific Medical Center. Personalized Medicine. 16(6). 501–509. 11 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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