В. С. Кавешников

665 total citations
34 papers, 95 citations indexed

About

В. С. Кавешников is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, В. С. Кавешников has authored 34 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 21 papers in Epidemiology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in В. С. Кавешников's work include Healthcare Systems and Public Health (19 papers), Blood Pressure and Hypertension Studies (11 papers) and Cardiovascular Health and Disease Prevention (11 papers). В. С. Кавешников is often cited by papers focused on Healthcare Systems and Public Health (19 papers), Blood Pressure and Hypertension Studies (11 papers) and Cardiovascular Health and Disease Prevention (11 papers). В. С. Кавешников collaborates with scholars based in Russia, Tajikistan and United States. В. С. Кавешников's co-authors include И. А. Трубачева, V. N. Serebryakova, Yu. V. Zhernakova, Р. С. Карпов, А. Н. Рогоза, И Е Чазова, S. А. Shalnova, Elena A. Golovina, Е. B. Yarovaya and В. А. Куценко and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hypertension and Telemedicine Journal and e-Health.

In The Last Decade

В. С. Кавешников

22 papers receiving 86 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
В. С. Кавешников Russia 6 79 42 20 17 13 34 95
D. S. Polyakov Russia 7 126 1.6× 44 1.0× 9 0.5× 6 0.4× 6 0.5× 24 155
Hoang Nhat Pham United States 5 47 0.6× 18 0.4× 9 0.5× 9 0.5× 6 0.5× 45 92
Cristina Văcărescu Romania 8 110 1.4× 19 0.5× 7 0.3× 21 1.2× 4 0.3× 41 144
A.A. Akintunde Nigeria 5 37 0.5× 23 0.5× 10 0.5× 7 0.4× 6 0.5× 8 81
Béla Benczúr Hungary 7 117 1.5× 5 0.1× 20 1.0× 19 1.1× 12 0.9× 19 146
Yu. V. Badin Russia 5 58 0.7× 25 0.6× 4 0.2× 4 0.2× 6 0.5× 9 74
Joanna Bartkowiak Switzerland 7 107 1.4× 37 0.9× 9 0.5× 33 1.9× 3 0.2× 28 125
E. Oschepkova Russia 5 42 0.5× 43 1.0× 2 0.1× 13 0.8× 6 0.5× 25 100
Zili Gong China 6 36 0.5× 37 0.9× 44 2.2× 19 1.1× 5 0.4× 12 98

Countries citing papers authored by В. С. Кавешников

Since Specialization
Citations

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

Fields of papers citing papers by В. С. Кавешников

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by В. С. Кавешников. 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 В. С. Кавешников. The network helps show where В. С. Кавешников may publish in the future.

Co-authorship network of co-authors of В. С. Кавешников

This figure shows the co-authorship network connecting the top 25 collaborators of В. С. Кавешников. A scholar is included among the top collaborators of В. С. Кавешников 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 В. С. Кавешников. В. С. Кавешников 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.
2.
Кавешников, В. С., И. А. Трубачева, & S. А. Shalnova. (2025). CAROTID ATHEROSCLEROSIS AS AN ADDITIONAL PREDICTOR OF CARDIOVASCULAR RISK: ANALYSIS USING THE SCORE IN THE POPULATION AGED 40–64 YEARS. Complex Issues of Cardiovascular Diseases. 14(4). 6–17.
3.
4.
Кавешников, В. С., И. А. Трубачева, & V. N. Serebryakova. (2024). Unprocessed red meat consumption in the general working-age population: sociodemographic, behavioral and health-related determinants. Problems of Nutrition. 93(5). 65–72.
5.
Oschepkova, E., et al.. (2024). SCORE2 cardiovascular risk stratification of an urban adult population sample and evaluation of its effectiveness based on 5-year follow-up. CARDIOVASCULAR THERAPY AND PREVENTION. 24(1). 4184–4184. 1 indexed citations
6.
Кавешников, В. С., et al.. (2023). POSSIBILITIES OF APPLYING MACHINE LEARNING TECHNOLOGIES IN THE SPHERE OF PRIMARY PREVENTION OF CARDIOVASCULAR DISEASES. Complex Issues of Cardiovascular Diseases. 12(3). 109–125.
7.
Ощепкова, Е. В., Е. B. Yarovaya, В. А. Куценко, et al.. (2023). Prognostic markers of early vascular aging according to volumetric sphygmography in adult urban population sample. (Based on the ESSE-RF study in Tomsk). 18(1). 55–55. 1 indexed citations
8.
Serebryakova, V. N., et al.. (2023). Surgical revascularization in women: focus on factors worsening the prognosis. SHILAP Revista de lepidopterología. 22(2). 156–164.
9.
Кавешников, В. С., et al.. (2023). Predictors of Long-Term Outcomes after Surgical Myocardial Revascularization. SHILAP Revista de lepidopterología. 18(6). 710–716.
10.
Кавешников, В. С., И. А. Трубачева, & V. N. Serebryakova. (2022). Factors, associated with effective control of arterial hypertension in the general working-age population. Arterial’naya Gipertenziya (Arterial Hypertension). 28(5). 546–556. 2 indexed citations
11.
Zhernakova, Yu. V., И. А. Трубачева, В. С. Кавешников, et al.. (2022). Assessment of the prevalence of target organ damage at various stages of the cardiometabolic continuum. According to the ESSE RF study. Systemic Hypertension. 19(3). 31–39.
12.
Кавешников, В. С., V. N. Serebryakova, & И. А. Трубачева. (2022). Determinants of arterial hypertension control in the hypertensive population receiving medical therapy. Complex Issues of Cardiovascular Diseases. 11(1). 26–35. 2 indexed citations
13.
Кавешников, В. С., И. А. Трубачева, & V. N. Serebryakova. (2022). Analysis of factors associated with arterial stiffness in the general working-age population. SHILAP Revista de lepidopterología. 27(5). 5002–5002. 1 indexed citations
14.
Рогоза, А. Н., Е. В. Ощепкова, Е. B. Yarovaya, et al.. (2021). Contribution of cardio-ankle vascular index to prediction of cardiovascular events in the adult urban population: data from the ESSE-RF study (Tomsk). SHILAP Revista de lepidopterología. 20(5). 2967–2967. 6 indexed citations
15.
Serebryakova, V. N., et al.. (2021). Prescribing frequency and adherence to statins in outpatients with type 2 diabetes mellitus and comorbid cardiovascular diseases. SHILAP Revista de lepidopterología. 23(5). 434–441. 2 indexed citations
16.
Serebryakova, V. N., et al.. (2021). Development of Mobile Application for Assessment of Basic Echocardiographic Parameters in Apparently Healthy Population. Telemedicine Journal and e-Health. 28(6). 815–822. 1 indexed citations
17.
Кавешников, В. С., И. А. Трубачева, & V. N. Serebryakova. (2021). Factors associated with carotid plaque burden in the adult general population. SHILAP Revista de lepidopterología. 26(5). 4379–4379. 5 indexed citations
18.
Кавешников, В. С., V. N. Serebryakova, & И. А. Трубачева. (2020). Prevalence and predictors of statin therapy in the general working-age population. SHILAP Revista de lepidopterología. 25(6). 3920–3920. 4 indexed citations
19.
Кавешников, В. С., V. N. Serebryakova, & И. А. Трубачева. (2019). PERCENTILE DISTRIBUTION OF CAROTID INTIMA-MEDIA THICKNESS IN THE GENERAL WORKING-AGE POPULATION. 34(1). 145–151.
20.
Кавешников, В. С., V. N. Serebryakova, & И. А. Трубачева. (2019). Analysis of factors, associated with the probability of antihypertensive medication in the population of patients with arterial hypertension. SHILAP Revista de lepidopterología. 73–77. 3 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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